Impact Factor 2.089

The world's most-cited Multidisciplinary Psychology journal

Review ARTICLE

Front. Psychol., 26 August 2016 | https://doi.org/10.3389/fpsyg.2016.01282

The Spawns of Creative Behavior in Team Sports: A Creativity Developmental Framework

  • 1Research Center in Sports Sciences, Health Sciences and Human Development, CreativeLab Research Community, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
  • 2Institute of Cognitive and Team/Racket Sport Research, German Sport University Cologne, Cologne, Germany

Developing creativity in team sports players is becoming an increasing focus in sports sciences. The Creativity Developmental Framework is presented to provide an updated science based background. This Framework describes five incremental creative stages (beginner, explorer, illuminati, creator, and rise) and combines them into multidisciplinary approaches embodied in creative assumptions. In the first training stages, the emphasis is placed on the enrollment in diversification, deliberate play and physical literacy approaches grounded in nonlinear pedagogies. These approaches allow more freedom to discover different movement patterns increasing the likelihood of emerging novel, adaptive and functional solutions. In the later stages, the progressive specialization in sports and the differential learning commitment are extremely important to push the limits of the creative progress at higher levels of performance by increasing the range of skills configurations. Notwithstanding, during all developmental stages the teaching games for understanding, a game-centered approach, linked with the constraints-led approach play an important role to boost the tactical creative behavior. Both perspectives might encourage players to explore all actions possibilities (improving divergent thinking) and prevents the standardization in their actions. Overall, considering the aforementioned practice conditions the Creativity Developmental Framework scrutinizes the main directions that lead to a long-term improvement of the creative behavior in team sports. Nevertheless, this framework should be seen as a work in progress to be later used as the paramount reference in creativity training.

Introduction

The relationship among creativity development and sport participation remains unarticulated. Creative behavior is an extremely valued disposition in everyday life (Runco, 2014), as well as in sport performance (Memmert, 2015b). Sports scientists are recognizing the importance of increasing research focused in the development of creativity in sport. Nowadays, there are many obstacles that restrain the creative potential, such as the lack of street sport, unadjusted training, mechanization of play, decrease of the game enjoyment and a narrow game knowledge. Moreover, the current sport systems are not aligned in order to supply these necessities. In fact, a rigid linear environment prevails and players are constantly overwhelmed by a lack of adaptability during the game. Although strategies can be planned and trained in advance, all dynamic interactions have a level of uniqueness to them and may even be unexpected. The resolution of competitive situations will always vary when taking into account the environmental influences. It is vital that the training environment reflects the real setting full of unpredictability, thus it is necessary to support the players' creativity. Creative solutions are of crucial importance to sport success, talent development and selection system and the key is let it blossom during the early years. Indeed, there is great potential in creative moments, which can lead the team toward outstanding performances. It appears that creative players make the difference, as they bring the unforeseeable into the game and disrupt the opponents (Memmert, 2013, 2015a).

Although there have been several empirically proven principles fostering tactical creativity driven by Memmert (2015a), little is known regarding the incorporation into age depending training programs specifically designed to develop and stimulate creative behavior in team sports within different kinds of expertise and/or levels. In this sense, the current article integrates the latest research in sport science and creativity into a developmental framework, in an attempt to provide a common ground for fostering tactical creativity across childhood and the junior age span. The Creativity Developmental Framework (CDF) highlights the idea that creativity depends on the mastery of thinking and sporting skills. For this reason, the creative behavior relies on distinct emerging patterns according to the players' progression in sport settings. Thus, it is mandatory to establish a supportive and rewarding environment for creative ideas to appear. To ensure an optimal development of creative behavior, the CDF mainly distinguishes five incremental training stages, that account for enhancing specific creative components: (a) Beginner stage (2–6 years); (b) Explorer stage (7–9 years);(c) Illuminati stage (10–12 years); (d) Creator stage (13–15 years); and (e) Rise stage (over 16 years). The presented stages are general guidelines created as a possible continuum of creativity boost during the early ages, however neither all players will follow this sequential path, adopting a more erratic, and distinct development.

Creativity development is a holistic process that underpins complex interactions among several domains (see Memmert, 2015b). In fact, the appropriate enrichment context proposed by our CDF combines a variety of training approaches embodied in creative assumptions: (a) practice pathway (from diversification to specialization); (b) physical literacy (learning of fundamental movement and game skills); (c) nonlinear pedagogy which underpins, the constraints-led approach, teaching games for understanding and differential learning; and (e) creative thinking (divergent and convergent thinking debate) (see Figure 1). Individual and integrated contribution of these approaches assures the ideal conditions that nurture and support the long-term creative development process.

FIGURE 1
www.frontiersin.org

Figure 1. The Creativity Developmental Framework structure supports the creative behavior in team sports. Representation of the Creativity Developmental Framework structure: 1) Developmental creativity stages: (a) beginner; (b) explorer; (c) illuminati; (d) creator; (e) rise. (2) Tenets of the Creativity Developmental Framework: (a) practice pathways; (b) physical literacy; (c) nonlinear pedagogy including teaching games for understanding and the constraints-led approach; (d) creative thinking. 3) Creativity training components: (a) attempts, (b) efficacy, (c) versatility, (d) originality. 4) Tactical behavior principles: (a) fundamental game principles, (b) situational game principles, (c) specific collective game principles.

The “Thinking Cap” Process is Fertile Ground for Creativity

The field of creativity emerged as an outcome of the pioneering works of Joy Paul Guilford and Ellis Paul Torrance. The last one is particularly responsible for the most recognized and widely used assessments of creativity performance, such as the Torrance Tests of Creative Thinking (Cramond et al., 2005). Usually, the main topics of researchers' interest are the development of effective ways to enhance creativity through optimizing the environment (Ma, 2006; Davies et al., 2013; Onarheim and Friis-Olivarius, 2013). Despite the lack of studies, the CDF considers crucial raise a creative thinker and a technical-tactical creative player, as complementary pairs. Nurture thinking abilities allow to educate open-minded players who exploit all available creative possibilities in the field. That is, raising a thinking trait predisposition to solve game problems in an unusual way.

Over time, a number of attempts have been made to explain the main criteria of a creative product (Kaufman and Baer, 2012). Despite these efforts, the CDF embraces the most recognized description which states that creative products must be centered on two core elements: novelty and appropriateness of the action (Sternberg and Lubart, 1999). The CDF proposal underpins two wide classes of thinking processes: generate novelty (via divergent thinking abilities) and select novelty (via convergent thinking abilities) (Fürst et al., 2016). Convergent actions are considered a process which generates a possible solution to a given problem and that provide criteria of effectiveness and novelty (Colzato et al., 2013). This ability encompasses analytical processes and emphasizes the importance of critical thinking (Byernes and Dunbar, 2014). During a football game, for example, the players perceive the environmental information and select an action such as shooting the ball (convergent thinking). Their critical thinking will be reflected when analyzing their action and searching for improvements, such as the appropriateness of decision-making and the shoot execution.

On the other hand, creative behavior also demands divergent abilities. Recent reports identify divergent abilities as a valid and reliable creativity predictor (Runco and Acar, 2012). Divergent thinking produces a variety of ideas and associations to a problem and forms one major cognitive process in creativity (e.g., identifying a range of possibilities to solve a problem). Precisely, creative actions emerge by the players effort to modify and produce different movement patterns generating variability (Runco and Acar, 2012; Furley and Memmert, 2015). Yet, some authors emphasize that creative abilities follow distinct patterns across development. While divergent abilities significantly decrease when not stimulated, convergent abilities remain more stable throughout the player's career (Alfonso-Benlliure et al., 2013). In fact, convergent thinking is extensively requested during the child's education. Most studies identify that children's creativity began to decline around age 6 and a creative slump further occurs at the fourth and sixth grade (Claxton et al., 2005; Kim, 2011). Nevertheless, this decline can also be explained by the increase in actions' intentionality and the decrease of imagination throughout life (Duffy, 2006; Glăveanu, 2011). Undoubtedly, the imagination serves as a precursor for creativity, as creativity uses imagination to unleash their potential. While imagination underpins things that are unreal, creativity focus on things that might be possible and never experienced before. Indeed, creativity makes the imagination feasible (Duffy, 2006). To prevent this slump, there should be a preponderance of tasks designed to develop the divergent abilities in all CDF stages as opposed to tasks that develop convergent abilities (see Figure 2). Nevertheless, this framework states for an interrelationship between both types of creative thinking since quantity does not assure quality. Indeed, problems are solved through a blend of convergent and divergent thinking.

FIGURE 2
www.frontiersin.org

Figure 2. The connection between creative thinking and the learning of tactical behavior principles (fundamental, situational and specific collective game principles) embodied in the creativity training stages.

Components of Creative Thinking

To ensure the proper operationalization of creative behavior, the CDF embraces several creativity training components, which have been further adapted to the sports context (Memmert and Roth, 2007). These components allow to establish a creative game index: (a) efficacy, the ability to execute as many effective movement actions as possible; (b) versatility, identified as the ability to produce non-standard actions such as, execute different forms to pass or shoot; (c) originality, the ability to generate new and unique actions that others are not likely to produce; and finally (d) attempts, recognized as any effort to perform different actions even not-effective movements, a concept added by this work. For novice players it is extremely important left their comfort zone and demonstrate as soon as possible, the initiative to perform new forms of dribbling even if not successful (attempts). This preliminary exploratory behavior will later enhance different forms of dribbling (efficacy) and nurture the ability to adapt the dribbling in different ways (versatility), until the attainment of an unique dribbling action (originality). These components were usually used for assessing the players' creative performance through direct game observation, decreasing the weakness of creative measurements normally associated to a lack of ecological validity (Piffer, 2012). In a practical view, the CDF advocates that these creativity components should be embodied in the training session's environment, mainly in the learning of tactical behavior principles (fundamental game principles, situational game principles, and specific collective game principles, see Table 1). The stretching of these components provides new insights about the key ingredients that seem to increase the probability of developing creative players and should be considered as the basis of the CDF (see Figure 2). Additionally, it is really problematic for practitioners to grasp what is really meant by creativity in sports performance (Runco and Jaeger, 2012).

TABLE 1
www.frontiersin.org

Table 1. Description of the tactical behavior principles used to classify the tactical game complexity in team sports (adapted from Memmert and Harvey, 2010; Mitchell et al., 2013).

During the framework stages arise two different types of creative expressions: P-creative (personal/psychological) and H-creative (historical) (Boden, 1996). The P-creative is internal to the player and leads to the development of individual problem-solving skills in the daily routine. Moreover, it is related with the discovery of new techniques and solutions that allows to foster the player's own personal limitations (Boden, 1996). In this way, most of the players' actions and decisions are not novel in general, just novel to them. Therefore, this personal expression is commonly performed from the beginner until the rise stages. As expected, it is important to reinforce that these initial emerging solutions are not of an expert type and they are not widely recognized in the main domain. By contrast, the H-creative is a behavior that no one ever executed before and contributes to changes in history. This type of creative expression is easier to recognize in sports and it is widely evidenced in the concepts of creativity. However, it seems that in most cases a high level of expertise it is necessary, so this outcome it will appear more consistently since the rise stage. Note that, these novel actions should be considered as H-creativity even if the players repeats it continually, whereas in team sports context the repeated skill never happens exactly in the same environmental conditions (Boden, 1996). The environment is unpredictable and its influence is always dependent on the player's perception and past experiences. Ordinarily, the H-creative behavior is P-creative too. In this way, the learning process should invite the players to explore instead of promotes a passive copying process. This assumption can be captured by the nonlinear pedagogy assumptions. Note that the path from P-creativity to H-creativity is not predetermined. Neither of these types of creativity occurs in timely and ordered stages (Hristovski et al., 2012), considering that the development of all players is an individualized bio-psycho-social process (see Abraham et al., 2014). In this sense, the coach needs to recognize the players' motivations in order to facilitate their development and understand that some players will face more difficulties in such creative environments. For instance, Collins et al. (2016) pointed out, how some experiences during the sport path discriminate their level of performance. As so, it is important for coaches to be aware of players' readiness to work in a creative environment.

Ordinarily, the creativity concept focus in the final outcome of a creative player (H-creativity) but before the attainment of this status occurred a developmental process (P-creativity), which is not recognized in the theoretical background. Therefore, the CDF presents a whole new concept. In the first years, the novice creative player must be comfortable to discover and reorganize new personal solutions, toward a continuously challenge of their self-adaptation ability. Concomitantly, should be able to move and attune outside the box under the guidance of sport environment and to solve a specific game problem in a novel, feasible, unexpected and original way by starting a single act or flowing in a collective action contributing to team success. A H-creativity is extensible described in Hopsicker (2011, p. 114), which points out: the exceptional innovator, the highly creative players, the performer of novel moves and tactics, and the producer of imaginative strategies that tend toward competitive success by perceives and anticipates challenging situations. And also, possesses richer positional and practical knowledge of his specific sporting activity.

Playing in a team sport does not mean that the players should give up on their individual initiative. In fact, the game quality increases as higher the player individual contribution to the team collective behavior. Likewise, the collective strategy should also have space for individual creativity. That is, each player should have both the responsibility and liberty inside the team game model that allows to develop and express his potential creative. While a rich description of creative behavior can be stated, there is still a lack of detailed information about understanding the developmental path that triggers this state.

The Maturation of World Class Skills

The debate about the type and the amount of practice that players should invest in across their sport careers is just beginning (Collins and MacNamara, 2011; Moesch et al., 2011; Lloyd et al., 2015; Hornig et al., 2016; Rees et al., 2016) and is really controversial. Currently, two proposed pathways in the development of sport expertise prevails: diversification and specialization. These pathways are mainly differentiated in terms of their early structured process. On the one hand, the specialization is associated to structured activities typified by an early involvement in a single sport (between 5 or 6 years of age) and coupled with high amounts of specific training—deliberate practice (Ericsson, 2014; Hambrick et al., 2014). On the other hand, diversification includes an early involvement in several sports and it is also associated to low structured activities—deliberate play (Leite et al., 2009; Côté and Vierimaa, 2014; Côté and Ericsson, 2015). Notwithstanding, the concepts of specialization and deliberate practice, as well as diversification and deliberate play should not be considered as being synonymous. This common misinterpretation leads to a narrow view, which does not allow to exploit the potential of a possible coexistence between the previous concepts (Coutinho et al., 2016). Therefore, in the rise stage, the players can specialize only in the main sport and being exposed to a nonlinear training method.

In this sense, the CDF recognizes that both sport pathways are not antithesis but they can coexist since they correspond to distinct moments of talent development. Moreover, the framework states that a continuum of practice activities ranging from unstructured settings, which normally guides toward divergent abilities, should precede the highly structured settings, focusing on the convergent abilities. This sequence may have an important role in the boost of creative behavior (see Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. The type of practice pathway and physical literacy structure embodied in creativity training stages.

Despite several statements referring that pursuit of a specialized pathway drains players' creativity, the expertise in a structured domain in later stages is an essential condition to be truly creative. It seems that outstanding behaviors can only be displayed if players master the field (Ericsson and Lehmann, 1999). Such preparation is an essential requirement to attain the elite status and compete at the highest level. In later stages, specialization in one sport is mandatory providing a qualitative jump to push the limits of the creative progress. However, is there an optimal stage or time to specialize in team sports? Definitely, it is hard to address this issue but several Cotê studies (Côté et al., 2009; Côté and Vierimaa, 2014) proposed the age of 16 as a suitable time (e.g., rise stage).

Additionally, expert players possess the ability to successfully combine their motor and perceptual functions during the game to outplay the opponents (Abernethy et al., 2005; Broadbent et al., 2015; MacNamara and Collins, 2015). Recently, research has established a positive relationship between creative behavior and particular aspects of these perceptual skills, such as the breadth of attention (Memmert, 2011). Usually, the breadth of attention is the term used to refer to the number and range of stimuli that a player is able to attune at any moment (Memmert, 2009). The players need a wide breadth of attention in order to generate tactical behavior and seek for different solutions (Memmert and Furley, 2007). In fact, the CDF makes it possible to associate different stimuli with each other increasing the potential to display novel game solutions (Kreitz et al., 2015; Memmert, 2015b). In a specialization phase, the lack of fundamental principles (technical and tactical) affect their ability to select the relevant environmental information decreasing the emergence of a highly adaptive behavior. Ericsson and Lehmann (1999, p. 76), summarized the connection among expertise and creativity by concluding that: “…individuals have not been able to make generally recognized creative contributions to a domain unless they had mastered the relevant knowledge and skills in the course of a long preparatory period.” In order to achieve that level of proficiency, players must accumulate a large amount of hours of practice. In early stages, those hours can be accumulated in non-specific activities, suggesting a functional role in the development of expertise (Abernethy et al., 2005; Leite and Sampaio, 2010; MacNamara and Collins, 2015). In addition to later specialization as a potential contributor for H-creativity development, the CDF suggests that diversification could also be a crucial element.

The concept of early diversification prior to a later restraining, typically associated to specialization, is regarded as mandatory to enhance divergent thinking (Memmert and Roth, 2007). The exposure in a variety of sport/game contexts provides invaluable experiences and stimulus for players, and enables them to adapt to unpredictable situations in a range of different environments (Memmert, 2006). Research has demonstrated the effectiveness of an early diversification approach while considering the unpredictable and demanding environment of team sports (Memmert and Harvey, 2010). Within the diversity of sport experiences, this developmental progression should also include the participation in naive free-play and deliberate play activities (Côté and Vierimaa, 2014). In fact, a growing body of research has found a correlation between play activities and creativity development (Memmert, 2011).

Nevertheless, the CDF tried to overcome a few gaps related with literature concepts. Generally, deliberate play is presented in literature as playing sport games informally which are extremely playfulness activities and promotes an incredibly pleasure, performed with rules adapted from adult norms that are set-up and monitored by children themselves in their free time (i.e., neighborhood pickup games and street football and basketball) (Côté et al., 2003; Hendry and Hoges, 2013). Considering the roots of the term deliberate it is preferred to use in this framework the term naive free-play for the previous concept. Nonetheless, it redirects the term deliberate play to an activity that is highly enjoyable designed to keep players motivated. However, it is oriented with a minor goal of improving athletes' overall sport skills and is slightly guided by adults. In terms of structure, deliberate play activities are usually more structured than naive free-play but less structured than formally organized activities such as deliberate practice. Still, during the beginner and explorer stage, the naive and deliberate play experiences assure the appropriate evolvement emerging the first sparks of a problem-solver player (P-creativity type) (Memmert, 2013).

Creativity is facilitated by play activities, which provide freedom to experiment with different movements and tactic variations and gives children the opportunity to discover, create and innovate their actions (Greco et al., 2010; Bowers et al., 2014; Pesce et al., 2016). This type of practice might encourage the child's ability to think divergently and convergently (Greco et al., 2010). To support these statements, research focused on the developmental path predictors of creative players showed an association between the time spent in deliberate play activities and the increase of creativity in team sports (Memmert et al., 2010). Also, a recent study examined if the amount of time spent in two different sport settings (structured vs. unstructured) during childhood has a later influence in general creative thinking. According to this analysis, time spent in unstructured sport activities was positively related to the achievement of creative thinking in adulthood (Bowers et al., 2014). Likewise, it is also recognized that early participation in highly enjoyable activities such as deliberate play builds a sport solid foundation with a long-term effect on young players' intrinsic motivation (Ford et al., 2009). The social learning theory supports the previous statements (Bandura, 1969), it sees individual differences in behavior as resulting from early learning experiences. According to this theory the children's first experiences in sports will later shape sporting behavior and the type of commitment. Thus, coaches should be aware that must provide a plenty of positive experiences during the early years. These challenging and pleasant environments provide the optimal conditions to nurture the children to continue their journey surrounding the fundamental abilities to improve their physical literacy. Indeed, creativity and expertise research have not been discussed in parallel. Despite the clear evidence about the benefits of the unstructured activities in creativity, the magnitude of the effect of joining them with more structured practices in later stages it is still unclear.

Physical Literacy

In the last 10 years evidence has grown regarding the importance of physical literacy (see Giblin et al., 2014; Macnamara et al., 2015). The concept describes a holistic engagement that encompasses the ability of an individual to use cognitive processes to help children move with confidence in a range of novel and challenging environments (see Longmuir et al., 2015). Mainly, at the beginner and explorer stages, children should be encouraged to engage with low-structure activities that promote a substantial improvement of physical literacy (Lloyd et al., 2015). In sports setting, physical literacy is often associated with fundamental movement skills, which include the mastery of locomotive (running, skipping, and hopping), manipulative or object control (catching, throwing, grasping, and striking), and stabilizing skills (balance, rotation, bracing, and twisting) (Lubans et al., 2010; Lai et al., 2014; Jaakkola et al., 2016). However, physical literacy also includes the fundamental game skills, in which children learn specific sport skills, such as how to kick the ball without an interception of the opposing team. Literate players build up easily a sustained skill background that allow them to be more creative.

Research typically emphasize the transfer hypothesis, suggesting that children should acquire fundamental movement skills before learning the related fundamental game skills (see Gallahue et al., 2011). For example, young children should be first taught throwing patterns in ways that are not sport specific before undertaking the learning of specific skills such as the basketball chess pass or handball shoulder pass. Otherwise, children may encounter more difficulties when learning complex sports skills, which may influence the pursuit of sport excellence. The breach of this principle seems to lead to a proficiency barrier, which could affect the progression into complex sports-specific skills being dependent on the prior foundation of fundamental movement skills (Seefeldt, 1980; Gallahue and Donnelly, 2007; Kalaja et al., 2011; Bryant et al., 2013). Moreover, the previously assumptions are slowly fading away, and the CDF suggests that this standpoint surrounding fundamental movement skills might neglect the central tenets of physical literacy concept (Whitehead, 2010). This framework argues that the essential embodied nature of movement learning can only be understood in relation to the environment and cannot be interpreted solely as developing fundamental movement skills, which is a very diluted and restricted statement. The postulates of the CDF emphasizes the complementarity of fundamental movement skills and fundamental game skills (Ford et al., 2011; Smith, 2014), both with equal value in all stages contributing to promote versatility and competence to foster “outside the box” thinking and acting.

Considering that physical literacy includes an ability to use cognitive processes, the technique should not be taught separately from tactics (Smith, 2014). To reach an even more effective performance, the perceptual and decision-making capacities (e.g., the perception of teammate's spatial distribution) and inter-limb coordination (e.g., shoot as we run) will be needed. In fact, passing the ball in a pre-planned way is totally different from passing the ball in response to positioning of teammates and opponents in the game. While children learning fundamental game skills, the appropriate technique will emerge as natural process of adaptive play. It can be argued that learning certain movement skills can only become meaningful when they are applied in ecological sport settings (Smith, 2014). During the beginner and explorer stage, the physical literacy training provides the proper environment for learning tactical principles, mainly the fundamental game principles (dribbling attempts, support and orienting, taking ball near the goal and attacking the goal, playing together, achieving advantage, using gaps, defending attacking players, defending the goal, and gain the ball). These principles are extensively described in the CDF (Memmert and Harvey, 2010; Mitchell et al., 2013), which nurture further excitement associated with playing team sports (see Table 1).

Indeed, the physical literacy training is considered to be the building block of sport performance and if players do not excel in the basics, they will hardly display creative behaviors (Ennis, 2015). While several theoretical developmental models suggest that the trainability of fundamental skills decreases after seven years of age, other studies extend this window at least until twelve years (illuminati stage) (see Ford et al., 2011). Despite the lack of studies, the framework also stresses a smaller spectrum during the creator and rise stages since physical literacy is conceptualized as a journey throughout life span (see Figure 3). Physical literacy training should be maintained in the later stages but with different extents. However, the intervention strategies in a long-term preparation still remain unanswered (Longmuir and Tremblay, 2016).

The Breakthrough of Ecological Constraints

Evidence from the Dynamical Systems Theory are in line with CDF assumptions. Learning theories within the dynamical systems perspective allow to respond to the challenges of acquiring functional movement behaviors in dynamic environments encountered in all sports (Edwards, 2010). Understanding how movement coordination emerges and its acquisition is a central issue. Coordination arises as many system degrees of freedom (i.e., movement possibilities) are continuously organized taking into account the interaction between learner, the task and environment (Chow et al., 2015). A three stage model was proposed to understanding how movement system degrees of freedom are continuously evolving (Bernstein, 1967; Newell, 1985). In the novice stage of learning the body is kept rigid and inflexible with restricted movements. Considering that the degrees of freedom are limited the coordination solutions are also reduced. Over the course of learning, the advanced stage of learning is related with a releasing of the degrees of freedom toward more functional, fluid, and smoothly coordinated movements. This stage is characterized by the freeing of movement possibilities called synergies as the individual learn how to control and coordinate complex movements. Gradually, through this exploratory process, the learners' moves into the expert stage of learning marked by the perception of the environment interaction. The learner is able to reorganize the degrees of freedom in order to reach the most efficient and flexible movement patterns. The information available in the performance environment is crucial in shaping how learners reorganize their individual motor system degrees of freedom (see Chow et al., 2015). The manipulation of tasks constraints can shape the learner's degrees of freedom, since the changes in movement patterns leads to a transition from one stable state of motor organization toward another (Edwards, 2010). In this sense, acquisition of coordination is an ongoing process. Still, this approach may have a distinct impact on different learners, as the acquisition of movement coordination is not a linear process.

Due to the dynamism and nature of complexity of team sports, the CDF structure was grounded in nonlinearity (Davids et al., 2003; Harbourne and Stergiou, 2009; Chow et al., 2011; Vilar et al., 2012; Lebed and Bar-Eli, 2013; Gordon, 2014) from the beginner until the rise stage (see Figure 4). Chow and colleagues proposed the term of Nonlinear Pedagogy, a constraints-led approach (Chow et al., 2007). Nonlinearity is the basis of multistability, which is defined as the existence of more than one solution to a goal and is regarded as a crucial element for the divergent training upgrading (Hristovski et al., 2011; Memmert, 2015b). Usually, the Nonlinear Pedagogy is putted in practice through the constraints-led approach which underpins the designed principles emanating from an ecological dynamics standpoint and provides a fundamental theoretical impetus for practitioners to thrive the creative tactical behavior: (a) manipulation of constraints; (b) functional variability; (c) attentional focus (d) representativeness, and (e) the maintenance of pertinent information-movement couplings (Chow, 2013; Chow et al., 2015). Firstly, the role of constraints has been put forth as a central tenet encouraging the emergence of functional movement solutions within game situations (Lee et al., 2014). Typically, task constraints can be readily manipulated to boost the discovery and exploration movement solutions (Hristovski et al., 2011). The associated variability in task performance inspires players to adapt and unlock their creative potential. Indeed, the noise provided by these challenging environments promote the exploratory behavior (Schollhörn et al., 2009) and players will be channeled to functional and versatile connections that may lead them to creative behaviors. The CDF reasons that the exploratory behavior is a central tenet and a precondition of player's creative development that should persist until the rise stage with different magnitudes. Moreover, giving opportunities to young players to explore their boundaries is fundamental, mainly in explorer and illuminati stages, making them more adaptive without being afraid to attempt and risk-taking in competitive situations. Players need the opportunity to search for their own task solutions instead of applying standardized responses. Therefore, the use of representative environment training situations seems to be the way in which players become more proficient at perceiving environment cues and constant changes in game situations. In this sense, the use of more ecological training situations allow players to attune relevant sources of information based on information-movement coupling. Passing in football, for example, should be developed with an opponent attempting to intercept the ball (perform under defensive pressure instead of passive or without defenders) and under variable task constraints (game rules, space and equipment change). Moreover, a constraints-led perspective can be used to sustain the design of training tasks across the learning styles. Concepts derived from the Mosston's Spectrum of Teaching Styles (Moston and Ashworth, 1990) reinforce the physical literacy and nonlinear previous statements. This theory comprises a spectrum moving from teacher-centered to student-centered styles. The further players-centered styles of the spectrum, are the most suitable for developing creative players (problem solving and creativity styles) (Sicilia-Camacho and Brown, 2008). In the field of sports, the Teaching Games for Understanding (TGfU), as a game-centered pedagogy fits perfectly with these problem solver styles.

FIGURE 4
www.frontiersin.org

Figure 4. The nonlinear pedagogy assumptions embodied in the creativity training stages.

Over the last twenty-years, research on popular pedagogical approaches such as the TGfU has been increasing in scientific literature (Butler, 2014). The focus of TGfU, which incorporates key aspects of Nonlinear Pedagogy principles, is to provide experiences centered in technical and tactical skills through modified game contexts (Tan et al., 2012; Butler, 2014; Harvey and Jarrett, 2014). Additionally, it favors the game understanding (e.g., critical-thinking and problem solving skills), since technical and tactical skills are developed simultaneously, clearly linked with the physical literacy's previous standpoints. Farther, the TGfU approach seems to be a suitable way to enhance physical literacy (Mandigo and Corlett, 2010). The framework considers these modified games applied in ecological situations, the fingerprint of the TGfU approach and the main driver for the tactical creative behavior (Memmert and Harvey, 2010). Nevertheless, the main critic pointed out to the TGfU approach is related with the progressive loss of the coaches' responsibility by simply allowing players to play games without any criteria. Indeed, designing representative practice tasks can be more time consuming and demanding for coaches (Memmert et al., 2015; Renshaw et al., 2015).

In order to promote tactical creativity and to better understand how to manipulate the task constraints, the TGfU model embraces four key pedagogical principles strongly supported by core principles of nonlinearity: sampling, modification-exaggeration, modification-representation, and tactical complexity level (see Tan et al., 2012; Chow et al., 2015), these are usually implemented in Small-Sided Games (Hill-Haas et al., 2011; Travassos et al., 2012; Halouani et al., 2014). Games with less tactical complexity should be taught first, during the explorer and illuminati stages, to ensure that novice players understand the game they play. It is important to consider that in early stages the constraints should be relaxed to enhance the exploratory behavior that consequently leads to a better efficacy and versatility of players actions (Hristovski et al., 2011). For these reasons, the CDF sustains that it is reasonable to start with simple game formats before raising tactical complexity, in creator and rise stages, by introducing Small-Sided Games with higher collective demands (Tan et al., 2012). In turn, as the game skills are mastered, the tactical complexity should be increased toward a proper adaptive response (Davids et al., 2013). The importance of high task complexity has been widely explored in the organizational field and it seems that creative people, with a certain level of expertise, tend to be attracted to complexity (Chae et al., 2015). To attend this issue, the CDF will use different levels of game complexity which gradually increase the tactical creative behavior adapted from previous works of Memmert and Harvey (2010), Mitchell et al. (2013) (see Table 1). Considering the decision-making models, in the nonlinear pedagogy approach predominates a naturalistic decision making, which result in a deeper understanding of the team member's contributions and the role of the environment in specific situations. This will enhance the collective synchrony toward a more effective play, mainly during complex situations (Macquet, 2009; Richards et al., 2012).

The CDF links the constraints-led (learner-environment) and TGfU (learner-centered) approaches in order to sustain the creativity development in team sports. Despite both using the core principles of nonlinear pedagogy as a theoretical background, it is important to make clear that they are slightly different (see Renshaw et al., 2015). These differences are harmoniously aligned allowing to stablish new conceptual insights. The key similarities include: (a) their holistic perspective of the learner; (b) consider the individual differences of the learner; (c) coach act as a facilitator to guide players' discovery; and (d) learning tasks design are sustained on the common ideas of representativeness (Renshaw et al., 2015). This framework also intends to provide clarification for sport stakeholders on the nature of the synergies that emerge within the dissimilarities between the two approaches. According to the framework the TGfU vision and proposals are of particular value until the illuminate stage. Significant increase of tactical creativity were confirmed in children among 7–10 years of age (Memmert, 2011), possibly indicating the optimal window of trainability. In fact, the TGfU is a more educational related approach designed for children to understand the generic tactical concepts of team sports and to capture a passion for playing games, clearly linked with previous standpoints of diversification and physical literacy. Likewise, the use of questioning as a main pedagogical tool toward a more critical thinking player. It seems that this approach captures these features better than the constraints-led approach, which consist in an advantage in supporting a wide-range creativity environment in early stages. Instead, the aim of the constraints-led approach is to reach the task goal taking into consideration the several possible ways of attaining the final outcome. This approach is more geared to performance and supports players to become autonomous of coaches' feedback and instructions, thus more indicated from the middle stages of the framework (from illuminati stage).

Further, as previously referred the TGfU sustains a simple to complex progression and during the early stages could simplify and boost the players learning. At this point, both approaches are distinct since constraints-led stages are not sequential (Chow et al., 2007). However, in later stages, given the players already have a sustained sport background this nonlinear process is crucial in the exploratory behavior. On the other hand, the TGfU approach also advocates taking students out of games to develop skills (Butler, 2014). In this point, nonlinear minor adjustments are necessary. Thus, to address this issue, the framework reinforces that a few TGfU designs based on the principles of nonlinearity would possibly lead to the creation of more effective games. For example, creating 1vs1 or 2vs1 situations instead of removing the player from the game environment. In middle and later stages (creator and rise stages), the constraints-led approach should prevail in its fullness. Note that there are minor differences among the two approaches that have not been addressed, since they have a trivial contribution to the framework.

Differential Learning

Building on current nonlinear pedagogies, differential learning explores the fluctuations, and adaptive mechanisms in perception-action coupling through performing complex movements without repetitions and adding permanent stochastic perturbations in tasks (Schollhörn et al., 2009; Schöllhorn et al., 2012). Specifically, this approach proposes infinite variations in technique movement to make the player ready to deal with disturbances in competitive environments (Frank et al., 2008; Schöllhorn et al., 2012). According to the current standpoint the variation and adaptability provided by the combination of different motor patterns allow players to better reorganize the knowledgeable skills and learn new patterns to produce a variety of novel motion configurations. In this sense, the players should be challenged in unfamiliar environments with maximal pattern variations of the initial situation, for example, the players are instructed to perform movement errors instead of avoiding them (e.g. kick a ball with arms raised) (Schöllhorn et al., 2006). In fact, differential learning provides a highly improvisation demand, one of the most complex forms of creative behavior. Research refers that improvisation is a learnable skill that requires a considerable amount of training (Beaty, 2015). Besides, the framework argues that training for improvisation is associated with a releasing effect, appreciated in creative behavior (Sawyer, 2000; Fink and Woschnjak, 2011; Kleinmintz et al., 2014). Thereby, the CDF suggests that the differential learning volume should have a significant increase starting at the illuminati stage and should attain their peak of prominence in the rise stage (see Figure 4). Differential learning should be considered with caution when it is used with young players, it seems that too much noise can slow the learning process. Nevertheless, the sport stakeholders should be aware of the differential learning applicability. Thus, this approach should be progressively introduced as the players develop their sporting fundamentals. In the illuminati and rise stages the players have already gathered an optimized technical-tactical and perceptual background as well as a greater game purposiveness.

Summary and Implications

To ensure a proper creative developmental process, the first developmental stages should be grounded on intrinsically motivating and low structured experiences, such as the involvement in deliberate play activities instead of high controlled activities. However, the transitioning from diversification (where prevails P-creativity type) to specialization (possibly an H-creativity type) should gradually occur at appropriate developmental times and players need to be correctly guided during this continuous change of sport demands. The central tenets of diversified practice leads to an enrichment of the physical literacy. The mastery of several motor and game skills during the beginner and explorer stages, guides players to move outside the box, to think critically and improve their breadth of attention to conveying knowledge to make creative connections among several contexts. Furthermore, the Framework sustains that creativity can only be requested if the environment request creativity. For this reason, players should be prepared for the next unpredictable action, which will imply the permanent challenge of adaption mechanisms. The ultimate achievement of tactical creative behavior is grounded in the nonlinear pedagogy, which is an important way to facilitate the emergence of novel and functional solutions through adaptive movement patterns. The manipulation of tasks constraints it is extremely important to promote randomness in player's actions. Moreover, this dynamical changes develops exploratory behavior that encourage players to discover new action possibilities (improving divergent thinking). In fact, the environmental information in team sports changes instantaneously, therefore it is extremely important for the players to develop their ability to attune the optimal affordances under representative learning environments.

Additionally, the constraints-led approach and TGfU is a meaningful tool for players to perceive the affordances during the game performance. Not devaluating the role of cognitive explanations, the CDF stresses the relationship between perception and action in the movement systems, which clarify how the learning occurs. Coordination emerges as learners adapt their movement behaviors to the constraints. In this sense, the creativity training process should focus on simulated versions of major games using small-sided games sustained in several types of constraints. This progression improves the tactical behavior learning, which must be grounded in creativity training components (attempts, efficacy, versatility, and originality). In later stages, the tactical creative behavior also needs to be supported by complex patterns skills acquisition through the differential learning approach and with a specialized commitment. These approaches makes the players more able to adapt against environment disturbances and preparing them to perform novel configurations during the game. Thus, the CDF stresses that players should be free to explore the possibilities unhindered and create without limits throughout all the developmental stages.

Overall, the CDF scrutinizes the key directions that lead to a sustainable development of the creative behavior according to age and expertise in team sports (see Table 2). In addition, this article might act as a starting point to understand creativity training, which should be gradually implemented in sports structures and physical education lessons. It was also highlighted the unpredictable environment in which team sports occur and the implications for the design of creativity long-term programs. During the developmental stages, the players will express different types of creativity (from P-creativity to H-creativity) or they even may never display the H-creativity, but certainly in the end they will be more adaptive and functional. As previously mentioned, the development of all players is an individualized bio-psycho-social process. Thus, coaches should not to wait until the complete skill development, otherwise they need to recognize and accept the limits in cognitive and motor maturity that may restrain the creative performance. Coaches should inspire players through shaping their environment. Nevertheless, we can be sure that we are on track if players feel comfortable to think differently without fear of failure, or of take risks, explore new behaviors and be innovative during the game. In this regard, the main concern of the CDF is how it will be understood and applied by coaches, teachers and practitioners. Considering that there is a substantial individual variation in creative development the presented stages are general guidelines, so they may not be sequential. During the course of all stages, many external factors, which are not mentioned interact and can interfere with the process. Still, the framework assumes that all players eventually will follow the same sequential pathway from beginner to rise stages and this assumption is not always fulfilled. Moreover, the framework only provide the overall early guidelines that should be followed in the clubs or schools, but the creative process continues beyond the rise stage. While the players' expertise increase, the likelihood of H-creativity appearance is higher and often occurs after the rise stage. In this sense, it would be necessary to incorporate later stages. However, considering the different purposes and structures of professional sports, could be extremely difficult to uniform the guidelines to be followed. Thus, the current theoretical framework should be considered as a preliminary guideline to support the coaches and teachers' understanding of creativity development issues in early stages, which is urgently required. Having this assumption in mind, it was suggested that sports stakeholders should support and adapt their training programs to embrace the players' creativity. Finally, this theoretical framework should be considered as a work in progress that offers a substantial potential for enhancing creative behavior.

TABLE 2
www.frontiersin.org

Table 2. Creativity stages of the Creativity Developmental Framework in team sports.

Author Contributions

SD has been involved in drafting, conception, and design of the manuscript, developed the draft of the creativity developmental framework, combined the training approaches with creative assumptions, wrote the general topics of the article and agreed with all aspects of the work. DM developed a red line for the developmental framework with the important aspect age, ensuring that the ideas presented in manuscript were appropriately investigated and articulated with creativity topic, upgraded the creativity developmental framework, revised it critically for important intellectual content, gave final approval of the version to be published and agreed with all aspects of the work. JS carried out the drafting, conception and design of the manuscript, analysis and interpretation of the approaches, upgraded the creativity developmental framework, wrote the introduction and revised it critically for important intellectual content and agreed with all aspects of the work. NL has been involved in drafting, conception, and design of the manuscript, wrote the implications, revised it critically, also gave final approval of the version to be published and agreed with all aspects of the work.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This work was supported by the Foundation for Science and Technology (FCT, Portugal) and European Social Fund (ESF), through a Doctoral grant endorsed to the first author (SFRH/BD/91836/2012) under the Human Potential Operating Program (POPH). Project Symbiotic technology for societal efficiency gains: Deus ex Machina (DEM), NORTE-01-0145-FEDER-000026, co-financed by Fundo Europeu de Desenvolvimento Regional (FEDER) by NORTE 2020.

References

Abernethy, B., Baker, J., and Côté, J. (2005). Transfer of pattern recall skills may contribute to the development of sport expertise. Appl. Cogn. Psychol. 19, 705–718. doi: 10.1002/acp.1102

CrossRef Full Text | Google Scholar

Abraham, A., Saiz, J., Mckeown, S., Morgan, G., Muir, B., North, J., et al. (2014). “Planning your coaching: A focus on youth participant development,” in Practical Sport Coaching, ed C. Nash (Abingdon: Routledge), 16–53.

Alfonso-Benlliure, V., Meléndez, J., and García-Ballesteros, M. (2013). Evaluation of a creativity intervention program for preschoolers. Think. Skills Creativity 10, 112–120. doi: 10.1016/j.tsc.2013.07.005

CrossRef Full Text | Google Scholar

Bandura, A. (1969). “Social-learning theory of identificatory processes,” in Handbook of Socialization Theory and Research, ed D. Goslin (Chicago, IL: C. R. McNally Ed.), 213–262.

PubMed Abstract

Beaty, R. (2015). The neuroscience of musical improvisation. Neurosci. Biobehav. Rev. 51, 108–117. doi: 10.1016/j.neubiorev.2015.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernstein, A. (1967). The Co-ordination and Regulation of Movements. London: Pergamon Press.

Google Scholar

Boden, M. A. (1996). Dimensions of Creativity. Cambridge: MIT Press.

Google Scholar

Bowers, M., Green, C., Hemme, F., and Chalip, L. (2014). Assessing the relationship between youth sport participation settings and creativity in adulthood. Creat. Res. J. 26, 314–327. doi: 10.1080/10400419.2014.929420

CrossRef Full Text | Google Scholar

Broadbent, D. P., Causer, J., Williams, A. M., and Ford, P. R. (2015). Perceptual-cognitive skill training and its transfer to expert performance in the field: Future research directions. Eur. J. Sport Sci. 15, 322–331. doi: 10.1080/17461391.2014.957727

PubMed Abstract | CrossRef Full Text | Google Scholar

Bryant, E. S., Duncan, M. J., and Birch, S. L. (2013). Fundamental movement skills and weight status in British primary school children. Eur. J. Sport Sci. 14, 730–736. doi: 10.1080/17461391.2013.870232

PubMed Abstract | CrossRef Full Text | Google Scholar

Butler, J. (2014). TGfU – Would you know it if you saw it? Benchmarks from the tactic knowledge of the founders. Eur. Phys. Educ. Rev. 20, 465–488. doi: 10.1177/1356336x14534356

CrossRef Full Text | Google Scholar

Byernes, J., and Dunbar, K. (2014). The nature and development of critical-analytic thinking. Educ. Psychol. Rev. 26, 477–493. doi: 10.1007/s10648-014-9284-0

CrossRef Full Text | Google Scholar

Chae, S., Seo, Y., and Lee, K. (2015). Effects of task complexity on individual creativity through knowledge interaction: a comparison of temporary and permanent teams. Comput. Hum. Behav. 42, 138–148. doi: 10.1016/j.chb.2013.10.015

CrossRef Full Text | Google Scholar

Chow, J., Davids, K., Button, C., and Renshaw, I. (2015). Nonlinear Pedagogy in Skill Acquisition: An Introduction. New York, NY: Taylor & Francis Group.

Google Scholar

Chow, J., Davids, K., Button, C., Shuttleworth, R., Renshaw, I., and Araújo, D. (2007). The role of nonlinear pedagogy in physical education. Rev. Educ. Res. 77, 251–278. doi: 10.3102/003465430305615

CrossRef Full Text | Google Scholar

Chow, J., Davids, K., Hristovski, R., Araújo, D., and Passos, P. (2011). Nonlinear pedagogy: learning design for self-organizing neurobiological systems. New Ideas Psychol. 29, 189–200. doi: 10.1016/j.newideapsych.2010.10.001

CrossRef Full Text | Google Scholar

Chow, J. (2013). Nonlinear learning underpinning pedagogy: evidence, challenges, and implications. Quest 65, 469–484. doi: 10.1080/00336297.2013.807746

CrossRef Full Text | Google Scholar

Claxton, A., Pannells, T., and Rhoads, P. (2005). Developmental trends in the creativity of school-age children. Creat. Res. J. 17, 327–335. doi: 10.1207/s15326934crj1704_4

CrossRef Full Text | Google Scholar

Collins, D., and MacNamara, A. (2011). Comments on ‘expert performance in sport and the dynamics of talent development’. Sports Med. 41, 609–610. doi: 10.2165/11593020-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Collins, D., MacNamara, Á., and McCarthy, N. (2016). Super champions, champions and almosts: important differences and commonalities on the rocky road. Front. Psychol. 6:2009. doi: 10.3389/fpsyg.2015.02009

PubMed Abstract | CrossRef Full Text | Google Scholar

Colzato, L. S., Szapora, A., Pannekoek, J. N., and Hommel, B. (2013). The impact of physical exercise on convergent and divergent thinking. Front. Hum. Neurosci. 7:824. doi: 10.3389/fnhum.2013.00824

PubMed Abstract | CrossRef Full Text | Google Scholar

Côté, J., Baker, J., and Abernethy, B. (2003). From play to practice: “A developmental framework for the acquisition of expertise in team sport,” in Recent Advances in Research on Sport Expertise, eds J. Starkes and K. A. Ericsson (Champaign, IL: Human Kinetics), 89–114.

Côté, J., and Ericsson, K. (2015). “Diversification and deliberate play during the sampling years,” in Routledge Handbook of Sport Expertise, eds J. Baker and D. Farrow (Abingdon: Routledge), 305–316.

Côté, J., Lidor, R., and Hackfort, D. (2009). ISSP position stand: to sample or to specialize? Seven postulates about youth sport activities that lead to continued participation and elite performance. Int. J. Sport Exerc. Psychol. 9, 7–17. doi: 10.1177/1941738112464626

CrossRef Full Text | Google Scholar

Côté, J., and Vierimaa, M. (2014). The developmental model of sport participation: 15 years after its first conceptualization. Sci. Sports 29, S63–S69. doi: 10.1016/j.scispo.2014.08.133

CrossRef Full Text

Coutinho, P., Mesquita, I., and Fonseca, A. (2016). Talent development in sport: a critical review of pathways to expert performance. Int. J. Sports Sci. Coach. 11, 279–293. doi: 10.1177/1747954116637499

CrossRef Full Text | Google Scholar

Cramond, B., Matthews-Morgan, J., Bandalos, D., and Zuo, L. (2005). A Report on the 40-Year follow-up of the torrance tests of creative thinking: alive and well in the new millennium. Gifted Child Q. 49, 283–291. doi: 10.1177/001698620504900402

CrossRef Full Text | Google Scholar

Davids, K., Araújo, D., Correia, V., and Vilar, L. (2013). How small-sided and conditioned games enhance acquisition of movement and decision-making skills. Exerc. Sport Sci. Rev. 41, 154–161. doi: 10.1097/JES.0b013e318292f3ec

PubMed Abstract | CrossRef Full Text | Google Scholar

Davids, K., Glazier, P., Araújo, D., and Bartlett, R. (2003). Movement systems as dynamical systems: the functional role of variability and its implications for sports medicine. Sports Med. 33, 245–260. doi: 10.2165/00007256-200333040-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

Davies, D., Jindal-Snape, D., Collier, C., Digby, R., Hay, P., and Howe, A. (2013). Creative learning environments in education - A systematic literature review. Think. Skills Creativity 8, 80–91. doi: 10.1016/j.tsc.2012.07.004

CrossRef Full Text | Google Scholar

Duffy, B. (2006). Supporting Creativity and Imagination in the Early Years. London: Open University Press.

Google Scholar

Edwards, W. (2010). Motor Learning and Control: From Theory to Practice. Wadsworth, OH: Cengage Learning.

Google Scholar

Ennis, D. (2015). Knowledge, transfer, and innovation in physical literacy curricula. J. Sport Health Sci. 4, 119–124. doi: 10.1016/j.jshs.2015.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ericsson, A., and Lehmann, C. (1999). “Expertise,” in Encyclopedia of Creativity, eds M. A. Runco and S. R. Pritzker (San Diego, CA: Academic Press), 695–707.

Ericsson, A. (2014). The Road to Excellence: the Acquisition of Expert Performance in the Arts and Sciences, Sports, and Games. New York, NY: Taylor & Francis.

Google Scholar

Fink, A., and Woschnjak, S. (2011). Creativity and personality in professional dancers. Pers. Individ. Diff. 51, 754–758. doi: 10.1016/j.paid.2011.06.024

CrossRef Full Text | Google Scholar

Ford, P., De Ste Croix, M., Lloyd, R., Meyers, R., Moosavi, M., Oliver, J., et al. (2011). The long-term athlete development model: physiological evidence and application. J. Sport Sci. 29, 389–402. doi: 10.1080/02640414.2010.536849

PubMed Abstract | CrossRef Full Text | Google Scholar

Ford, P., Ward, P., Hodges, N., and Williams, M. (2009). The role of deliberate practice and play in career progression in sport: the early engagement hypothesis. High Ability Stud. 20, 65–75. doi: 10.1080/13598130902860721

CrossRef Full Text | Google Scholar

Frank, T. D., Michelbrink, M., Beckmann, H., and Schöllhorn, W. I. (2008). A quantitative dynamical systems approach to differential learning: self-organization principle and order parameter equations. Biol. Cybern. 98, 19–31. doi: 10.1007/s00422-007-0193-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Furley, P., and Memmert, D. (2015). Creativity and working memory capacity in sports: working memory capacity is not a limiting factor in creative decision making amongst skilled performers. Front. Psychol. 6:115. doi: 10.3389/fpsyg.2015.00115

CrossRef Full Text | Google Scholar

Fürst, G., Ghisletta, P., and Lubart, T. (2016). Toward an integrative model of creativity and personality: theoretical suggestions and preliminary empirical testing. J. Creat. Behav. 50, 87–108. doi: 10.1002/jocb.71

CrossRef Full Text | Google Scholar

Gallahue, D., and Donnelly, F. (2007). Development of physical education for all children (4th Edn.). Champaign, IL: Human Kinetics.

Google Scholar

Gallahue, D. L., Ozmun, J. C., and Goodway, J. (2011). Understanding Motor Development: Infants, Children, Adolescents, Adults (7 th Edn.). New York, NY: McGraw-Hill.

Giblin, S., Collins, D., and Button, C. (2014). Physical literacy: importance, assessment and future directions. Sports Med. 44, 1177–1184. doi: 10.1007/s40279-014-0205-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Glăveanu, V. (2011). Children and creativity: a most (un)likely pair? Think. Skills Creat. 6, 122–131. doi: 10.1016/j.tsc.2011.03.002

CrossRef Full Text | Google Scholar

Gordon, D. (2014). The ecology of collective behavior. PLoS Biol. 12:e1001805. doi: 10.1371/journal.pbio.1001805

PubMed Abstract | CrossRef Full Text | Google Scholar

Greco, P., Memmert, D., and Morales, J. C. (2010). The effect of deliberate play on tactical performance in basketball. Percept. Motor Skills 110(3 Pt 1), 849–856. doi: 10.2466/pms.110.3.849-856

PubMed Abstract | CrossRef Full Text | Google Scholar

Halouani, J., Chtourou, H., Gabbett, T., Chaouachi, A., and Chamari, K. (2014). Small-sided games in team sports training: a brief review. J. Strength Cond. Res. 28, 3594–3618. doi: 10.1519/jsc.0000000000000564

PubMed Abstract | CrossRef Full Text | Google Scholar

Hambrick, D., Oswald, F., Altmann, E., Meinz, E., Gobet, F., and Campitelli, G. (2014). Deliberate practice: is that all it takes to become an expert? Intelligence 45, 34–45. doi: 10.1016/j.intell.2013.04.001

CrossRef Full Text | Google Scholar

Harbourne, R. T., and Stergiou, N. (2009). Movement variability and the use of nonlinear tools: principles to guide physical therapist practice. Phys. Ther. 89, 267–282. doi: 10.2522/ptj.20080130

PubMed Abstract | CrossRef Full Text | Google Scholar

Harvey, S., and Jarrett, K. (2014). A review of the game-centred approaches to teaching and coaching literature since 2006. Phys. Educ. Sport Pedagogy 19, 278–300. doi: 10.1080/17408989.2012.754005

CrossRef Full Text | Google Scholar

Hendry and Hoges, (2013). “Getting on the right track: Athllete-centred practice for expert performance,” in Routledge Handbook of Sports Performance Analysis, eds T. McGarry, P. O'Donoghue, and J. Sampaio (New York, NY: Routledge), 5–20.

Hill-Haas, S. V., Dawson, B., Impellizzeri, F. M., and Coutts, A. J. (2011). Physiology of small-sided games training in football. Sports Med. 41, 199–220. doi: 10.2165/11539740-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Hopsicker, P. (2011). In search of the ‘sporting genius’: exploring the benchmarks to creative behavior in sporting activity. J. Philos. Sport 38, 113–127. doi: 10.1080/00948705.2011.9714553

CrossRef Full Text | Google Scholar

Hornig, M., Aust, F., and Güllich, A. (2016). Practice and play in the development of German top-level professional football players. Eur. J. Sport Sci. 16, 96–105. doi: 10.1080/17461391.2014.982204

PubMed Abstract | CrossRef Full Text | Google Scholar

Hristovski, R., Davids, K., Araujo, D., and Passos, P. (2011). Constraints-induced emergence of functional novelty in complex neurobiological systems: a basis for creativity in sport. Nonlin. Dyn. Psychol. Life Sci. 15, 175–206.

PubMed Abstract | Google Scholar

Hristovski, R., Davids, K., Passos, P., and Araújo, D. (2012). Sport performance as a domain of creative problem solving for self organizing performer-environment systems. Open Sports Sci. J. 5(Suppl. 1–M4), 26–35. doi: 10.2174/1875399X01205010026

CrossRef Full Text | Google Scholar

Jaakkola, T., Yli-Piipari, S., Huotari, P., Watt, A., and Liukkonen, J. (2016). Fundamental movement skills and physical fitness as predictors of physical activity: a 6-year follow-up study. Scand. J. Med. Sci. Sports. 26, 74–81. doi: 10.1111/sms.12407

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalaja, S., Jaakkola, T., Liukkonen, J., and Digelidis, N. (2011). Development of junior high school students' fundamental movement skills and physical activity in a naturalistic physical education setting. Phys. Educ. Sport Pedagogy 17, 411–428. doi: 10.1080/17408989.2011.603124

CrossRef Full Text | Google Scholar

Kaufman, J., and Baer, J. (2012). Beyond new and appropriate: who decides what is creative? Creat. Res. J. 24, 83–91. doi: 10.1080/10400419.2012.649237

CrossRef Full Text | Google Scholar

Kim, K. (2011). The creativity crisis: the decrease in creative thinking scores on the torrance tests of creative thinking. Creat. Res. J. 23, 285–295. doi: 10.1080/10400419.2011.627805

CrossRef Full Text | Google Scholar

Kleinmintz, O., Goldstein, P., Mayseless, N., Abecasis, D., and Shamay-Tsoory, S. (2014). Expertise in musical improvisation and creativity: the mediation of idea evaluation. PLoS ONE 9:e101568. doi: 10.1371/journal.pone.0101568

PubMed Abstract | CrossRef Full Text | Google Scholar

Kreitz, C., Furley, P., Memmert, D., and Simons, D. J. (2015). Inattentional blindness and individual differences in cognitive abilities. PLoS ONE 10:e0134675. doi: 10.1371/journal.pone.0134675

PubMed Abstract | CrossRef Full Text | Google Scholar

Lai, S. K., Costigan, S. A., Morgan, P. J., Lubans, D. R., Stodden, D. F., Salmon, J., et al. (2014). Do school-based interventions focusing on physical activity, fitness, or fundamental movement skill competency produce a sustained impact in these outcomes in children and adolescents? A systematic review of follow-up studies. Sports Med. 44, 67–79. doi: 10.1007/s40279-013-0099-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Lebed, F., and Bar-Eli, M. (2013). Complexity and Control in Team Sports: Dialectics in Contesting Human Systems. New York, NY: Routledge.

Google Scholar

Lee, M. C. Y., Chow, J. Y., Komar, J., Tan, C. W. K, and Button, C. (2014). Nonlinear pedagogy: an effective approach to cater for individual differences in learning a sports skill. PLoS ONE 9:e104744. doi: 10.1371/journal.pone.0104744

PubMed Abstract | CrossRef Full Text | Google Scholar

Leite, N., Baker, J., and Sampaio, J. (2009). Paths to expertise in portuguese national team athletes. J. Sports Sci. Med. 8, 560–566.

PubMed Abstract | Google Scholar

Leite, N., and Sampaio, J. (2010). Early sport envolvement in young portuguese basketbal players. Percept. Motor Skills 111, 669–680. doi: 10.2466/05.10.PMS.111.6.669-680

PubMed Abstract | CrossRef Full Text | Google Scholar

Lloyd, R. S., Oliver, J. L., Faigenbaum, A. D., Howard, R., De Ste Croix, M. B., Williams, C. A., et al. (2015). Long-term athletic development - Part 1: a pathway for all youth. J. Strength Cond. Res. 29, 1439–1450. doi: 10.1519/jsc.0000000000000756

PubMed Abstract | CrossRef Full Text | Google Scholar

Longmuir, P., Boyer, C., Lloyd, M., Yang, Y., Boiarskaia, E., Zhu, W., et al. (2015). The canadian assessment of physical literacy: Methods for children in grades 4 to 6 (8 to 12years). BMC Public Health 15:767. doi: 10.1186/s12889-015-2106-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Longmuir, P. E., and Tremblay, M. S. (2016). Top 10 research questions related to physical literacy. Res. Q. Exerc. Sport 87, 28–35. doi: 10.1080/02701367.2016.1124671

PubMed Abstract | CrossRef Full Text | Google Scholar

Lubans, D. R., Morgan, P. J., Cliff, D. P., Barnett, L. M., and Okely, A. D. (2010). Fundamental movement skills in children and adolescents. Sports Med. 40, 1019–1035. doi: 10.2165/11536850-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, H. (2006). A synthetic analysis of the effectiveness of single components and packages in creativity training programs. Creat. Res. J. 18, 435–446. doi: 10.1207/s15326934crj1804_3

CrossRef Full Text | Google Scholar

Macnamara, Á., Collins, D., and Giblin, S. (2015). Just let them play? Deliberate preparation as the most appropriate foundation for lifelong physical activity. Front. Psychol. 6:1548. doi: 10.3389/fpsyg.2015.01548

PubMed Abstract | CrossRef Full Text | Google Scholar

MacNamara, Á., and Collins, D. (2015). Second chances: investigating athletes' experiences of talent transfer. PLoS ONE 10:e0143592. doi: 10.1371/journal.pone.0143592

PubMed Abstract | CrossRef Full Text | Google Scholar

Macquet, A. C. (2009). Recognition within the decision-making process: a case study of expert volleyball players. J. Appl. Sport Psychol. 21, 64–79. doi: 10.1080/10413200802575759

CrossRef Full Text | Google Scholar

Mandigo, J., and Corlett, J. (2010). “Teaching games for understanding of what? TGfU role in the development of physical literacy,” in More Teaching Games for Understanding: Moving Globally: Human Kinetics, eds J. Butler and L. Griffin (Champaign, IL: Human Kinetics), 69–78.

Memmert, D., Almond, L., Bunker, D., Butler, J., Fasold, F., Griffin, L., et al. (2015). Top 10 research questions related to teaching games for understanding. Res. Q. Exerc. Sport 86, 347–359. doi: 10.1080/02701367.2015.1087294

PubMed Abstract | CrossRef Full Text | Google Scholar

Memmert, D., Baker, J., and Bertsch, C. (2010). Play and practice in the development of sport-specific creativity in team ball sports. High Ability Stud. 21, 3–18. doi: 10.1080/13598139.2010.488083

CrossRef Full Text | Google Scholar

Memmert, D., and Furley, P. (2007). “I spy with my little eye!”: breadth of attention, inattentional blindness, and tactical decision making in team sports. J. Sport Exerc. Psychol. 29, 365–381. doi: 10.1123/jsep.29.3.365

PubMed Abstract | CrossRef Full Text | Google Scholar

Memmert, D., and Harvey, S. (2010). Identification of non-specific tactical tasks in invasion games. Phys. Educ. Sport Pedagogy 15, 287–305. doi: 10.1080/17408980903273121

CrossRef Full Text | Google Scholar

Memmert, D., and Roth, K. (2007). The effects of non-specific and specific concepts on tactical creativity in team ball sports. J. Sports Sci. 25, 1423–1432. doi: 10.1080/02640410601129755

PubMed Abstract | CrossRef Full Text | Google Scholar

Memmert, D. (2006). Developing creative thinking in a gifted sport enrichment program and the crucial role of attention processes. High Ability Stud. 17, 101–115. doi: 10.1080/13598130600947176

CrossRef Full Text | Google Scholar

Memmert, D. (2009). Pay attention! A review of visual attentional expertise in sport. Int. Rev. Sport Exerc. Psycholgy 2, 119–138. doi: 10.1080/17509840802641372

CrossRef Full Text | Google Scholar

Memmert, D. (2011). Creativity, expertise, and attention: exploring their development and their relationships. J. Sports Sci. 29, 93–102. doi: 10.1080/02640414.2010.528014

PubMed Abstract | CrossRef Full Text | Google Scholar

Memmert, D. (2013). “Tactical creativity,” in Routledge Handbook of Sports Performance Analysis, eds T. McGarry, P. O'Donoghue, and J. Sampaio (Abingdon: Routledge), 297–308.

Memmert, D. (2015a). “Development of tactical creativity in sports,” in Routledge Handbook of Sport Expertise, eds J. Baker and D. Farrow (Abingdon: Routledge), 363–372.

Memmert, D. (2015b). Teaching Tactical Creativity in Sport: Research and Practice. New York, NY: Routledge.

Google Scholar

Mitchell, S., Oslin, J., and Griffin, L. (2013). Teaching Sport Concepts and Skills: A Tactical Games Approach for Ages 7 to 18. Champaign, IL: Human Kinetics.

Google Scholar

Moesch, K., Elbe, A. M., Hauge, M. L., and Wikman, J. M. (2011). Late specialization: the key to success in centimeters, grams, or seconds (cgs) sports. Scand. J. Med. Sci. Sports 21, e282–290. doi: 10.1111/j.1600-0838.2010.01280.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Moston, M., and Ashworth, S. (1990). The Spectrum of Teaching Styles: From Command to Discovery. New York, NY: Longman.

Google Scholar

Newell, M. (1985). “Coordination, control and skill,” in Differing Perspectives in Motor Learning, Memory, and Control, eds D. Goodman, I. Franks, and R. Wilberg (Amsterdan: North-Holland), 295–317.

Onarheim, B., and Friis-Olivarius, M. (2013). Applying the neuroscience of creativity to creativity training. Front. Hum. Neurosci. 7:656. doi: 10.3389/fnhum.2013.00656

PubMed Abstract | CrossRef Full Text | Google Scholar

Pesce, C., Masci, I., Marchetti, R., Vazou, S., Sääkslahti, A., and Tomporowski, P. D. (2016). Deliberate play and preparation jointly benefit motor and cognitive development: mediated and moderated effects. Front. Psychol. 7:349. doi: 10.3389/fpsyg.2016.00349

PubMed Abstract | CrossRef Full Text | Google Scholar

Piffer, D. (2012). Can creativity be measured? An attempt to clarify the notion of creativity and general directions for future research. Think. Skills Creat. 7, 258–264. doi: 10.1016/j.tsc.2012.04.009

CrossRef Full Text | Google Scholar

Rees, T., Hardy, L., Güllich, A., Abernethy, B., Côté, J., Woodman, T., et al. (2016). The great British medalists project: a review of current knowledge on the development of the world's best sporting talent. Sports Med. 46, 1041–1058. doi: 10.1007/s40279-016-0476-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Renshaw, I., Araújo, D., Button, C., Chow, J. Y., Davids, K., and Moy, B. (2015). Why the constraints-led approach is not teaching games for understanding: a clarification. Phys. Educ. Sport Pedagogy 21, 459–480. doi: 10.1080/17408989.2015.1095870

CrossRef Full Text | Google Scholar

Richards, P., Collins, D., and Mascarenhas, D. (2012). Developing rapid high-pressure team decision-making skills. The integration of slow deliberate reflective learning within the competitive performance environment: a case study of elite netball. Reflective Pract. 13, 407–424. doi: 10.1080/14623943.2012.670111

CrossRef Full Text | Google Scholar

Runco, M., and Acar, S. (2012). Divergent thinking as an indicator of creative potential. Creat. Res. J. 24, 66–75. doi: 10.1080/10400419.2012.652929

CrossRef Full Text | Google Scholar

Runco, M., and Jaeger, G. (2012). The standard definition of creativity. Creat. Res. J. 24, 92–96. doi: 10.1080/10400419.2012.650092

CrossRef Full Text | Google Scholar

Runco, M. (2014). Creativity: Theories and themes: Research, Development, and Practice. London: Elsevier Science.

Google Scholar

Sawyer, R. K. (2000). Improvisation and the creative process: Dewey, Collingwood, and the aesthetics of spontaneity. J. Aesthetics Art Criticism 58, 149–161. doi: 10.2307/432094

CrossRef Full Text | Google Scholar

Schöllhorn, W. I., Beckmann, H., Michelbrink, M., Trockel, M., Sechelmann, M., and Davids, K. (2006). Does noise provide a basis for the unification of motor learning theories? Int. J. Sport Psychol. 37, 186–206. doi: 10.1177/0018720815602575

CrossRef Full Text | Google Scholar

Schöllhorn, W. I., Hegen, P., and Davids, K. (2012). The nonlinear nature of learning - A differential learning approach. Open Sports Sci. J. 5, 100–112. doi: 10.2174/1875399X01205010100

CrossRef Full Text | Google Scholar

Schöllhorn, W. I., Mayer-Kress, G., Newell, K. M., and Michelbrink, M. (2009). Time scales of adaptive behavior and motor learning in the presence of stochastic perturbations. Hum. Mov. Sci. 28, 319–333. doi: 10.1016/j.humov.2008.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Seefeldt, V. (1980). “Developmental motor patterns: implications for elementary school physical education,” in Psychology of Motor Behavior and Sport, eds C. Nadeau, W. Holliwell, K. Newell, and G. Roberts (Champaign, IL: Human Kinetics), 314–323.

Sicilia-Camacho, A., and Brown, D. (2008). Revisiting the paradigm shift from the versus to the non-versus notion of Mosston's Spectrum of teaching styles in physical education pedagogy: a critical pedagogical perspective. Phys. Educ. Sport Pedagogy, 13, 85–108. doi: 10.1080/17408980701345626

CrossRef Full Text | Google Scholar

Smith, W. (2014). Fundamental movement skills and fundamental games skills are complementary pairs and should be taught in complementary ways at all stages of skill development. Sport Educ. Soc. 21, 431–442. doi: 10.1080/13573322.2014.927757

CrossRef Full Text | Google Scholar

Sternberg, R., and Lubart, T. (1999). The concept of creativity: prospects and paradigms. Handbook Creat. 1, 3–15.

Google Scholar

Tan, C., Chow, J., and Davids, K. (2012). ‘How does TGfU work?’: examining the relationship between learning design in TGfU and a nonlinear pedagogy. Phys. Educ. Sport Pedagogy 17, 331–348. doi: 10.1080/17408989.2011.582486

CrossRef Full Text | Google Scholar

Travassos, B., Duarte, R., Vilar, L., Davids, K., and Araújo, D. (2012). Practice task design in team sports: representativeness enhanced by increasing opportunities for action. J. Sports Sci. 30, 1447–1454. doi: 10.1080/02640414.2012.712716

PubMed Abstract | CrossRef Full Text | Google Scholar

Vilar, L., Araújo, D., Davids, K., and Button, C. (2012). The role of ecological dynamics in analysing performance in team sports. Sports Med. 42, 1–10. doi: 10.2165/11596520-000000000-00000

PubMed Abstract | CrossRef Full Text | Google Scholar

Whitehead, M. (2010). Physical literacy: Throughout the Lifecourse. New York, NY: Taylor & Francis.

Google Scholar

Keywords: exploratory behavior, deliberate play, physical literacy, nonlinear pedagogy, expertise

Citation: Santos SDL, Memmert D, Sampaio J and Leite N (2016) The Spawns of Creative Behavior in Team Sports: A Creativity Developmental Framework. Front. Psychol. 7:1282. doi: 10.3389/fpsyg.2016.01282

Received: 19 April 2016; Accepted: 11 August 2016;
Published: 26 August 2016.

Edited by:

Costantino Balestra, Haute Ecole Paul-Henri Spaak, Belgium

Reviewed by:

Andrew Abraham, Leeds Beckett University, UK
Felix Lebed, Kaye Academic College of Education, Israel

Copyright © 2016 Santos, Memmert, Sampaio and Leite. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sara D. L. Santos, sarasantos_8@hotmail.com