Original Research ARTICLE
Affective Learning in Digital Education—Case Studies of Social Networking Systems, Games for Learning, and Digital Fabrication
- Faculty of Education, University of Oulu, Oulu, Finland
Technological innovations, such as social networking systems, games for learning, and digital fabrication, are extending learning and interaction opportunities of people in educational and professional contexts. These technological transformations have the ability to deepen, enrich, and adaptively guide learning and interaction, but they also hold potential risks for neglecting people's affective learning processes—that is, learners' emotional experiences and expressions in learning. We argue that technologies and their usage in particular should be designed with the goal of enhancing learning and interaction that acknowledges both fundamental aspects of learning: cognitive and affective. In our empirical research, we have explored the possibility of using various types of emerging digital tools as individual and group support for cognitively effortful and affectively meaningful learning. We present four case studies of experiments dealing with social networking systems, programming with computer games, and “makers culture” and digital fabrication as examples of digital education. All these experiments investigate novel ways of technological integration in learning by focusing on their affective potential. In the first study, a social networking system was used in a higher education context for providing a forum for online learning. The second study demonstrates a Minecraft experiment as game-based learning in primary school education. Finally, the third and the fourth case study showcases examples of “maker” contexts and digital fabrication in early education and in secondary school. It is concluded that digital systems and tools can provide multiple opportunities for affective learning in different contexts within different age groups. As a pedagogical implication, scaffolding in both cognitive and affective learning processes is necessary in order to make the learning experience with emerging digital tools meaningful and engaging.
Current technological transformations in society bring new abilities for sensing, adapting, and providing information to users within their environments (Laru et al., 2015; Chang et al., 2018; Huang et al., 2019). This can, for example, deepen, enrich, and guide educational and professional interactions (Rummel, 2018; Stracke and Tan, 2018). Technologies have already been used to improve participants' cognitive learning experiences, to create efficient and constructive communication, and to effectively use shared resources, as well as to find and build groups and communities (Jeong and Hmelo-Silver, 2016).
However, research has also shown that technology can alter social interactions. For instance, technology can affect the self-disclosure and identity management of individuals (Yee and Bailenson, 2007) as well as provide an arena for bullying (Santiago and Siklander, in review), thus running the risk of inhibiting productive social interactions or providing less than optimal support for them. In terms of group interactions and technologically enhanced collaborations in particular, challenges may relate to a cognitive load too excessive to efficiently handle content and task related activities simultaneously with social and technological factors (Bruyckere et al., 2015; May and Elder, 2018; Pedro et al., 2018) or the lack of available important social cues for social information processing, particularly in text-based communications (Kreijns et al., 2003; Walther, 2011; Terry and Cain, 2016). This discussion of technology's challenges is particularly relevant in bigger online learning communities and social networking systems, but also in small group collaboration (Bodemer and Dehler, 2011; Davis, 2016), such as in the context of games for learning, digital fabrication, and “maker” education.
Social networking systems, games for learning, and digital fabrication (making) will be further examined in this paper with case study examples. These case examples are chosen with regard to their likely impact on learning and instruction in current and future educational designs (Woolf, 2010; Chang et al., 2018; Huang et al., 2019). One of the main challenges that teachers face in the context of adopting contemporary technologies to support learning activities is the fact that professional knowledge and competencies are needed in both technology and pedagogy (Valtonen et al., 2019). This means that in addition to technical aspects, it is important that teachers understand and consider the basic processes of how people learn as an individual and as part of collaborative group (Häkkinen et al., 2017). Therefore, it is essential to explore and characterize learning and interaction processes, including cognitive and affective components, when digital tools and learning environments are implemented in educational contexts.
This paper is grounded in the premise that technologies should enhance the cognitive and affective learning processes in collaboration. Emotional experiences and expressions are recognized as an especially central part of successful collaborative learning (Baker et al., 2013). The use of potential technological enhancements in collaboration necessitates an interdisciplinary understanding of the social factors and emotional dynamics influencing the learning and interaction processes. We argue that when the affective interactions are more thoroughly accounted for and enhanced through technology, they can have positive implications for cognitively effortful and affectively meaningful collaborations, thus contributing to better competence building, social equity, and participation in group workings (Järvenoja and Järvelä, 2013; Isohätälä et al., 2017; Järvenoja et al., 2018).
Collaborative Learning as a Cognitive and Affective Learning Process
Collaborative learning is a specific type of learning and interaction process in which learners in a group share their overall learning process by negotiating their goals for learning and coordinating their mutual learning processes together (Roschelle and Teasley, 1995). Since the process of collaborative learning consists of discussions, negotiations, and reflections on the task at hand, it has the potential to lead to deeper information processing than individuals would achieve alone (Dillenbourg, 1999; Baker, 2015). The premise for successful collaborative learning is that group members are actively engaged in building, monitoring, and maintaining their shared learning processes on cognitive and affective levels (Barron, 2003; Näykki et al., 2017b; Isohätälä et al., 2019a). This means that interpreting and understanding who you are working with, what is being worked on, and how your actions and emotions affect others is essential to obtain successful collaborative learning (Linnenbrink-Garcia et al., 2011; Miyake and Kirschner, 2014). We follow the conceptualization that views successful collaborative learning as a combination of an outcome (deeper understanding and developed individual and group learning skills), and an experience (a student's own evaluation and interpretation of how [s]he succeeded) (Baker, 2015).
In general, affective processes play an important role in individuals' learning as well as in groups' learning and interaction processes (Linnenbrink-Garcia et al., 2011; Järvenoja et al., 2015; Polo et al., 2016; Isohätälä et al., 2019b). Students' emotions, such as enjoyment, boredom, pride, and anxiety, are seen to affect achievement by influencing their involvement and attitude toward learning and learning environments (e.g., Pekrun et al., 2002; Boekaerts, 2003, 2011; Pekrun and Linnenbrink-Garcia, 2012). These emotional experiences naturally have a great effect on how students and/or groups work on their task assignments. In our research, we have been particularly interested in the role of emotions as a part of groups' coordinated learning processes—how group members experience emotions and how they express their emotions in order to maintain and restore (when needed) a socio-emotionally secure atmosphere for learning and collaboration (Näykki et al., 2014). This has been done by observing student groups' interaction processes to understand how emotions are expressed, reflected, and shaped by social interaction (Baker et al., 2013; Isohätälä et al., 2017; Näykki et al., 2017a).
We ground this study in the increasing empirical understanding of the multifaceted interaction processes involved in collaborative learning, integrating cognitive, and affective components as the core of collaboration (Volet et al., 2009; Järvel et al., 2010, 2013; Näykki et al., 2014; Ucan and Webb, 2015; Sobocinski et al., 2016; Isohätälä et al., 2019a; Vuopala et al., 2019). In theory, collaborative learning requires group members to be aware of and to coordinate with their cognitive, metacognitive, motivational, and emotional resources and efforts (Hadwin et al., 2018). In practice, this involves students sharing their thinking and understanding, as well as showing verbally and behaviorally their commitment to the task and to the group (Järvelä et al., 2016; Isohätälä et al., 2017).
How to Enhance Opportunities for Cognitive and Affective Learning Processes With Pedagogical Designs and Digital Tools
Prior research has suggested that students need a scaffolding to engage with and progress in active and effective collaborative learning (Kirschner et al., 2006; Belland et al., 2013). In order to favor the emergence of productive interactions and thus to improve the quality of collaborative learning, different pedagogical models, and design approaches have been developed in collaborative learning research (Hämäläinen and Häkkinen, 2010). One example of a strategy to enhance the process of collaboration is to structure learners' actions with the aid of scripted cooperation (Fischer et al., 2013). Scripting is defined as “a set of instructions prescribing how students should perform in groups, how they should interact and collaborate and how they should solve the problem” (Dillenbourg, 2002, p. 63). In other words, scripts support collaborative processes by specifying, sequencing, and distributing the activities that learners are expected to engage in during collaboration (Dillenbourg, 2002; Kollar et al., 2006). Scripts typically aim to smooth coordination and communication, but there are also scripts that aim to promote high-level socio-cognitive activities—e.g., explaining, arguing, and question asking (Weinberger et al., 2005; Fischer et al., 2013; Tsovaltzi et al., 2017)—or acknowledge and promote socio-emotional activities (Näykki et al., 2017a).
In addition to designing certain learning activities with the scripting approach, previous research in the field of technologically enhanced learning has demonstrated how technology can function as a tool for individuals' and groups' learning, allowing meaningful learning interactions to occur (Jeong and Hmelo-Silver, 2016; Rosé et al., 2019). Recently, more generic digital tools such as social networking tools, games, or mobile phones have been increasingly popular among educators and instructional designers (Ludvigsen and Mørch, 2010; Laru et al., 2015). Such tools are being progressively more used in educational contexts but are not usually specifically designed to help students to engage in cognitively effortful interaction such as problem solving, collaborative knowledge construction, or inquiry learning (Gerjets and Hesse, 2004). Nor are these tools often designed for affectively meaningful interactions such as expression and reflection of emotional experiences (Jones and Issroff, 2005; Jeong and Hmelo-Silver, 2016).
Altogether, these tools rarely offer specific instructional guidance concerning collaborative learning (Kirschner et al., 2006). Instead, both generic and specific cognitive tools (Kim and Reeves, 2007) typically provide an open problem space, where learners are left to their own devices. In such spaces, learners are free to choose (a) what activities to engage in with respect to the problem at hand and (b) how they want to perform those activities (Kollar et al., 2007). Modern social networking systems, games for learning, and contexts for digital fabrication and making can be categorized into open problem spaces where learning is often supported without tightly structured socio-technological instructional design (Laru et al., 2015; Hira and Hynes, 2018).
Case Examples in Digital Education
We present and explore four cases (Table 1) involving social networking systems, games for learning, and digital fabrication where emergent and contemporary technologies are used to support collaborative learning in open problem spaces, especially focusing on cognitively effortful and affectively meaningful learning in groups. These emergent digital tools, with their respective socio-technical designs, were selected because they each represent different ways to provide opportunities for affective learning—for experiencing and expressing emotions as well as for supporting equal participation and a safe group atmosphere (cf. Baker et al., 2013). Traditionally all these technologies and activities have mainly been present in informal contexts as associated with social lives of the users, and thus, it can be assumed that this is one reason why they are able to access emotions in powerful ways. These technologies also hold the potential for learning in formal education as well, as a part of learning activities organized by educational institutions (Pedro et al., 2018).
Table 1. Summary of the case examples: social networking systems, games for learning, maker education, and digital fabrication.
CASE 1: Social Networking Systems for Supporting Equal Participation and Collaborative Argumentation
Social Networking Sites (SNS), such as Facebook, Twitter, and Instagram, are widely used communication platforms worldwide because of easy access and unrestricted interactivity (Bowman and Akcaoglu, 2014). They are mostly used for informal, everyday communication, but these platforms also offer possibilities to education by allowing idea sharing and a knowledge co-construction process (Laru et al., 2012; Vuopala et al., 2016; Tsovaltzi et al., 2017) where learners are interacting and building new frameworks to extend the knowledge and understanding of each individual student (Janssen et al., 2012). These productive interactional processes include sharing ideas, negotiating, asking thought-provoking questions, and providing justified arguments (Vuopala et al., 2016). Studies have also shown that the use of SNS can be beneficial for learning purposes by, for example, fostering affective interactions in academic life, allowing students to share emotional experiences, and providing support for socio-emotional presence (Pempek et al., 2009; Bennett, 2010; Ryan et al., 2011; Wodzicki et al., 2012; Bowman and Akcaoglu, 2014).
However, previous studies have proven that in SNS the level of knowledge co-construction and argumentation is often superficial, lacking solid arguments as well as affective interaction (Bull et al., 2008; Dabbagh and Reo, 2011). Engaging in these cognitive and affective processes is not necessarily spontaneous, therefore, it is essential to support students' learning processes. One way to promote productive collaborative learning is through the use of pedagogical scripts that have been used for guiding learners to engage both in knowledge co-construction and in affective processes (Dillenbourg, 2002; King, 2007; Fischer et al., 2013; Näykki et al., 2017a; Wang et al., 2017).
This case study presents research in which Facebook was used as a platform for argumentation. Higher education students (N = 88) from one German and two Finnish universities participated in a seven week long online course named “CSCL, Computer Supported Collaborative Learning” (Puhl et al., 2017). The course included the following learning topics: scripting, motivation and emotions, and metacognition. Students worked in ten groups with four participants in each. The first phase of the course was orientation and introduction (1 week). The main aim of the orientation week was to allow group members to meet each other (online) and to create a safe group atmosphere. After the orientation phase, each small group had a 2 week period to discuss each presented topic (overall, 6 weeks) in their own closed Facebook group.
Small group collaboration was supported with a micro-script (Weinberger et al., 2007; Noroozi et al., 2012), which guided learners into knowledge co-construction and argumentation. The study was particularly focused on exploring how different preassigned roles and sentence openers supported argumentation (Weinberger et al., 2010) and contributed to the groups' affective interactions especially by encouraging students to participate equally and motivating the group atmosphere. The roles given to each student were especially designed to prompt not only productive argumentation but also socio-emotional processes. The roles assigned to the students were: captain (motivated the group members' participation), contributor (identified and elaborated pro-arguments), critic (identified and elaborated counter-arguments), and composer (constructed a synthesis of the pro- and counter-arguments). To support their enactment of the named role, the students were given specific sentence openers, such as: “Have you all understood what is meant by…” (captain), “My claim is…” (contributor), “Here is a different claim I think needs to be taken into account …” (critic) and “To combine previously mentioned perspectives it can be concluded…” (composer). The script was faded out as the course proceeded. During the first 2 weeks, both the roles as well as the sentence openers were used to guide productive collaboration. Next, only the roles were given as a script, without sentence openers. However, students got a different role compared to the first week. And after that, the whole script was faded out; it was expected that, by that time, the learners had internalized the script and were thus able to interact purposefully without external support (Wecker and Fischer, 2011; Noroozi et al., 2017).
To reach an understanding of how the students interacted during the course, all discussion notes on Facebook were analyzed (Puhl et al., 2017). This was done by categorizing the discussion notes according to their transactivity to the following categories: quick consensus building, integration-oriented consensus building and conflict-oriented consensus building and in terms of their epistemic dimension: coordination, own explanation, misconception, learning content (Weinberger and Fischer, 2006). In general, students participated equally in the joint discussions according to the roles given to them, but the actual use of the sentence openers was more random. The main results indicated that, with this design, students engaged actively in argumentative knowledge co-construction, and that there were no significant differences in terms of the amount of activity between the differently scripted studying phases. All the assigned roles were treated as equally important in terms of both cognitive and affective aspects of learning even though they promoted different aspects of socio-emotional processes. However, during the course it came clear that the role of captain was especially crucial in promoting a good group atmosphere and keeping the motivation level high. The following examples from group discussions illustrate the captain's contributions:
“Thanks for your comments. These are all interesting thoughts. I agree with you that there is not a ‘one fits for all' solution. While regarding thought on ‘obligation’, well I agree that there is that component as well in any learning situation.”
“If you have some questions while you are reading, if something is unclear or something is just interesting, I'd like to encourage you to post something into the group that we can talk about it. So, enjoy the rest of your weekend and have a nice week.”
These examples illustrate how the captain encouraged group members to participate in joint discussions by giving positive feedback, and by making suggestions how to proceed. The results showed that the roles functioned also for affective level learning by, for example, managing the discourse, inducing conflicts through pro- and counter-arguments, and resolving the conflicts by bringing the different perspectives together. To conclude, in this case example, the roles assisted equal participation, feelings of belonging, and good working relationships between learners. The students' interaction was supportive, and arguments were well-structured. Furthermore, roles kept the discussion on task and there was no confusion about the responsibilities (Bruyckere et al., 2015; May and Elder, 2018; Pedro et al., 2018).
This example of Facebook as a SNS shows how an actively used “everyday digital tool” provided easy access to and a familiar platform for productive collaborative learning. While students used Facebook regularly for informal communication, they actively followed study-related discussions at the same time. It was obvious that in this case informal and formal communication and collaboration supported each other. The students in this study were asked to follow a specific micro-script, and thus their opportunities for designing their own learning activities were rather limited. Another way to integrate informal and formal education and to provide more open opportunities for creative thinking and problem solving is the use of games for learning, as will be described in the following example.
CASE 2: Games for Learning as Supporting Students' Creativity, Problem Solving, and Programming Skills
Currently, there is an increasing interest in implementing games in an educational context (Nebel et al., 2016; Qian and Clark, 2016). Connolly et al. (2012) found in their systematic literature review that playing computer games is linked to a range of perceptual, cognitive, behavioral, affective, and motivational impacts and outcomes. However, previous studies have shown that the game environment itself does not guarantee deep learning and meaningful learning experiences (Lye and Koh, 2014; Mayer, 2015). The challenge is that many educational games follow simple designs that are only narrowly focused on academic content and provide drill and practice methods similar to worksheets or stress memorization of facts (Qian and Clark, 2016).
Careful pedagogical design is needed in order to implement an educational game environment as a holistic problem-solving environment. For example, game design elements can provide opportunities for learners' self-expression, discovery, and control. These types of playing activities can create a learning environment that supports students' cognitively effortful and affectively meaningful learning, for example in terms of programming skills, creativity, problem solving (Kazimoglu et al., 2012; Qian and Clark, 2016), and motivational engagement (Bayliss, 2012; Zorn et al., 2013; Pellas, 2014).
This study was designed to integrate informal and formal learning activities for students in the context of an after-school Minecraft club. Minecraft is a multiplayer sandbox game designed around breaking and placing blocks. Unlike many other games, when played in its traditional settings, Minecraft does allow players the freedom to immerse themselves into their own narrative: to build, create, and explore. Minecraft, along with modification software (“mods”), has the tools for teaching and learning programming (Zorn et al., 2013; Risberg, 2015; Nebel et al., 2016).
The participants in this case study were primary school students (N = 16, 11 boys, 5 girls, 11 years old) who participated in the after-school Minecraft club (Ruotsalainen et al., 2020). The club included eight 90-min sessions of face-to-face meetings as well as unlimited collaboration time in the virtual space between the meetings. Minecraft gameplay was based on a storyline wherein pirates tried to survive after a shipwreck, escape, and expand their territories to other islands. To be able to escape from the island, several main quests (tasks) had to be solved: tutorial (weeks 1–2), electrical power (week 3), area and volume calculations (week 4), survival of zombie apocalypse (week 5), European flags (week 6), programming (week 7), and a final meeting (week 8). The majority of these quests were ill-structured and challenging problems. Therefore, the designed structure included repetitive pedagogical phases with teacher scaffolding (described below), but also full access to all content at any time (but not guided and explained).
Each week followed a similar structure:
a) Introduction (club meeting), a basic introduction to the session's theme.
b) Guided in-game tour (club meeting) where the respective main quest was presented, trained, and materials were distributed. The Captain (teacher) provided scaffolding for pirate students.
c) Main Quest (club meeting; between meetings, students performed task(s), e.g., building structures or coding).
d) Reflection (club meeting), a group discussion at the end of each session to reflect on task design and game experiences.
e) Free to Play (gameplay between meetings), the phase where students were able to continue their existing activities or explore the game on their own.
f) Captain's Quest (gameplay between meetings), which was similar to the main quest, but tasks were voluntary for students.
g) Presentation(s) for Rewards (next club meeting), an activity where students presented what they had done in the main quest and the Captain's quest. After successfully completing quests, student pirates received rewards in the form of Minecraft objects. Without rewards, student pirates were not able to survive, form society on the island, build better houses, or complete (“win”) the game.
The tools that were designed for the club were the Minecraft game, island map, and three Minecraft modifications (Figure 1). The game map was designed to include problem-based puzzles (quests) and a narrative about escaping from the deserted island after a shipwreck. Modifications enabled teachers to change Minecraft's 18 game rules, alter game content, redesign textures, and give players new abilities within the game (Kuhn and Dikkers, 2015). While the island map provided context for game narrative and gameplay itself, modifications worked as an engine, which enabled real electrical power simulation (ElectricalAge), programming (ComputerCraft), and easy redesign of the learning experiences (WorldEdit) during the game. The three major structures were: a deserted island with a sunken ship (home for the students' characters), the hall of quests, which was a building on the island (main quests were presented here), and the science center located outside of the island (a place with free access to formal lessons and informal training). Collaborative learning was regarded as a fundamental element of the activity in Minecraft gameplay. Therefore, many structural elements were designed to support collaborative game experience; for example, border blocks forced students' avatars to live in a small area next to each other. However, there were no detailed structures or scaffolds designed as a support for collaboration. Students were inhabitants of the Minecraft world, where collaboration is necessary to survive. The following example explains how one student described his/her experienced reasons for collaboration in an interview that were conducted right after the each face to face meeting. In this example one student describes his actions in the main quest “survival of zombie apocalypse.”
“We all came together at the ‘hall of quests’, it was safe and we had time to make up a plan together since there were no zombies. All players were here and we discussed what to do to survive. Most of my friends helped me and I helped them to survive. We had to trust each other, to survive you do teamwork.”
Figure 1. (A) Island at the start of the game when students' ship has wrecked. (B) Island after students have created their society (game activity between club meetings, Captain's quests). (C) Hall of quests, which was the place for information sharing, reflection, and teleportation to the science center. (D) Science center (main quests were played here) with a view into the coding quest.
Overall, the Minecraft game in this study was designed so that knowledge acquisition was prompted (e.g., about electricity), skill acquisition was supported (e.g., programming and collaboration), and affective and motivational outcomes were rewarded (e.g., strategies to accomplish quests and reflections during the meetings). Degrees of freedom guaranteed that the original constructionist gameplay was available for more advanced players, which was needed to avoid frustration or domination during the game (Connolly et al., 2012; Nebel et al., 2016). The students underlined in an interview how emotional the game playing experience was for them: “I usually do not really like these guys, but I am kind of sad that this experiment is over. I'm going to miss our village and society a lot. I am pretty sure I won't speak to half of the players anymore.”
To conclude, Minecraft is an example of a constructivist gaming experience in which players can play, modify the game, or even create their own games for learning (Kafai and Burke, 2015). In this case study, the students modified the game. This type of gaming approach has a strong pedagogical connection with another contemporary digital education phenomena: “maker's culture,” making and digital fabrication. While Minecraft is about a block-based world of “digital making,” digital fabrication and making enables learners to design their own artifacts in the situated (unstructured and open-ended) problem solving contexts.
CASE 3: Digital Fabrication and Makers Education for Supporting Collaborative Learning
Making is a central concept in the maker education approach. In practice, making is “a class of activities focused on designing, building, modifying, and/or repurposing material objects, for playing or useful ends, oriented toward making a ‘product' that can be used, interact with, or demonstrated” (Martin, 2015, p. 31). Digital fabrication is a concept in parallel with making that is commonly used to describe a process of making physical objects by utilizing digital tools for designing. Digital fabrication activities can be conducted in the context of Fab Lab, that is, a technical prototyping platform “comprised of off-the-shelf, industrial-grade fabrication and electronics tools, wrapped in open source software” (Fab Foundation, n.d.).
The basic idea of maker culture and digital fabrication places the learner firmly at the center of the learning process with a focus on a connection to real-world issues and meaningful problems. In the context of digital fabrication and Fab Labs, complex, undefined, open-ended, and unstructured problem-solving activities are typical (Halverson and Sheridan, 2014; Chan and Blikstein, 2018). Prior studies in educational contexts have found that maker culture activities hold great potential for developing a sense of personal agency, improving self-efficacy and self-esteem, and supporting learners in becoming an active member of a learning community (Halverson and Sheridan, 2014; Chu et al., 2017; Hira and Hynes, 2018). Taylor (2016) has concluded that the activities in “makerspaces” can be transformed into classroom projects that match the goals of twenty-first-century education. In other words, the overall learning experience through making can be empowering and can nurture students' creativity and inventiveness among other twenty-first-century skills (Blikstein, 2013; Iwata et al., 2019; Pitkänen et al., 2019).
This case study presents research that was conducted in an early education context (Siklander et al., 2019). Four to 5 year-old children (N = 16) took part in the making process in indoor and outdoor making environments: kindergarten, a forest, and Fab Lab facilities at the university (https://www.oulu.fi/fablab/).
In this case study, a narrative was built about an owl, a hand puppet, who asked for the children's help. The topic for learning was healthy food, and the aim was that the children learn to identify healthy and unhealthy food and to create a healthy plate through making, playing, and discussions. The experiment followed the playful learning process (Hyvönen, 2011; Hyvönen et al., 2016) and started with an orientation phase that aimed to support the children's activation of prior knowledge by creating a concept map about the topic of “good health.” In other words, the starting point for children's making activities was their own investigations of the concept and events closely connected with their living environments and personal experiences. After the orientation, the hand puppet owl asked for the children's assistance in creating a healthy plate. In the first making activity, children searched for and cut out figures representing healthy food and created a healthy plate by using the selected figures. Next, the owl asked the children to cook food in the nearby forest and to serve it to the forest animals. The children orienteered to the forest, collected items in accordance with the recipe, cooked the food, and laid the table on the ground. After feasting with the children, the owl asked children to feed all the forest animals. This challenging task requested children to prepare fabricated food.
The next phase of the experiment was conducted in the FabLab. The researchers' role (Hyvönen, 2011) was to understand and support the children's cognitive, emotional, and social views on making activities, although the environment was technical, noisy, and adult sized. The aim was to provide an emotionally and physically safe atmosphere and to encourage children to interact, enjoy, and express themselves while working together. After using the different senses (e.g., the smell of burning wood diffusing from the laser cutter), and taking a look at the facilities, technological equipment, and displayed outcomes, the owl's request was discussed. First, a big plate out of plywood was laser cutted. Research assistants guided the activities, and they let each child test the steering device and press the buttons. The children watched the cutting process very intensely, and were delighted while the plate was done, wanting also to touch and smell it. Finally, each child chose his or her favorite Muumin character and laser cut it to take home.
The process ended with the elaboration phase, in which the photo-elicitation method was used (Dockett et al., 2017) for reflecting on and discussing the entire process with the children. They chose photos which they felt were interesting and inspiring during the process; thus, these photos represent positive emotions. They chose photos taken from the forest trip and the FabLab activities. The most meaningful objects in the forest were the map, which facilitated orienteering, the recipe, which allowed them to find items and count them, and the fire, which they set for cooking. These elements combine affective and cognitive learning with physical actions. Children held the map each by each, and carefully looked at it and the path ahead (Pictures 1, 2).
Picture 1. Children cooking according to the recipe. Written informed consent was obtained from the parents of all depicted children for the publication of these images.
Picture 2. Children at the FabLab presenting their ideas for the owl, other children, and adults around. Written informed consent was obtained from the parents of all depicted children for the publication of these images.
The Fab Lab was regarded also as a meaningful makerspace. With its many technologies, it provided totally new experiences for the children. It was experienced as exciting and activated the children's collaboration, imagination, interest, and inspiration. During the experiment, the children's interaction was filled with humor and evolved in the process of thought bouncing.
In this case study, making activities and the playfulness of this process (Hyvönen, 2011; Hyvönen et al., 2016) denoted affectivity in two ways: first, the process of making was designed to allow children to experience emotions such as curiosity, joy, agency, acceptance, and excitement, but also negative feelings such as impatience, frustration, and disappointment (see also Hyvönen and Kangas, 2007). Secondly, during the activities and interaction, children were able to learn to recognize, and regulate their emotions. This was evident particularly in collaborative situations when children had to wait their turns, or when they were together and excited to express their ideas. To conclude, it can be said that, for children, making is not a specific type of activity, but rather the natural way of playfully being and engaging in any activity, including their own emotions, other people, and playthings (Duncan and Planes, 2015).
CASE 4. Supporting Fab Lab Facilitators to Develop Pedagogical Practices to Improve Learning in Digital Fabrication Activities
This case study was conducted also in the context of Fab Lab. The aim of this case study was to explore what technology experts should take into consideration in planning and facilitating students' learning processes in digital fabrication. This was done to provide research evidence about the design and implementation of digital fabrication activities. In practice, current undertakings in the local Fab Lab were explored from two perspectives: how current practices consider novice students' learning and how facilitators and teachers provide scaffolding in unstructured problem solving (Pitkänen et al., 2019).
The local Fab Lab was established in 2015 (see https://www.oulu.fi/fablab/). Since then, Fab Lab has arranged different types of digital fabrication activities for school groups. The activities have typically included 2D and 3D design and manufacturing, prototyping with electronics, programming, and utilizing tools and machines to fabricate prototypes (Georgiev et al., 2017; Iwata et al., 2019; Laru et al., 2019; Pitkänen et al., 2019).
In this case study (Iwata et al., in review), three schools participated in digital fabrication activities in Fab Lab (Table 2). The school participants, in total 41 students (aged 12–15 years old) and five teachers, were from three secondary schools. The activities were facilitated by two technology experts (facilitators), who work in the Fab Lab. In order to understand the making and digital fabrication activities, the participants were observed during the practice, and interviews of 14 students, the five teachers, and the two facilitators were conducted both during and at the end of the activities. Furthermore, the perspectives of the two expert groups (school teachers and Fab Lab facilitators) were investigated with focus group interviews.
The students worked on projects in teams with different design briefs and required conditions provided by facilitators and/or the teachers. All student projects were complex and required knowledge and skills in multiple subjects, such as mathematics, physics, and art (STEAM concept) (Table 2). Yet, these projects were difficult for them to complete without collaborative problem solving. The following excerpt is from a teacher's interview:
“One girl said that in normal group activities in school, she would have taken like the whole control, but this one was so huge, and she realized that she couldn't do that. So, she had to delegate. That was precious that she had to trust the team and that she can't control everything.”
Based on the interviews six factors were identified which influenced students' learning in the Fab Lab:
1) The tasks were complex and multidisciplinary.
2) Computers and digital tools were used frequently.
3) Students' own roles and responsibilities were emphasized in the guidance given.
4) Opportunities for reflection were supported.
5) Trial and error was encouraged.
6) An appropriate range of flexibility was embraced with time frame.
The following example shows how the school teacher explained the digital fabrication activities:
“You go and just try and error and it doesn't even matter if you totally succeed or fail on the product.… the important thing is what kind of cognitive skills and how you reflect, what you learn in the process, and if you came back, what would you do better.”
However, not all students who participated in these digital fabrication activities had previous knowledge and experience in the field. Moreover, many of them were not used to applied work methods that require competencies such as self-regulation, self-efficacy, and persistence. Based on the results, there is a need for defining clear learning goals and instructions, which would help students to engage in unstructured, open-ended, problem-solving activities. Furthermore, the lack of structure in the activities made both the teachers and facilitators point out the need to scaffold learning. The following is an excerpt from the interview of a teacher which underlines this need:
“….I feel like that we should guide them more…. giving them more guidance in choosing appropriate tasks they want to learn, because sometimes the tasks they choose might be too demanding for them to learn in a limited period time.”
Based on the analysis of the observations and interviews, several suggestions can be provided for integrating instructional scaffolding in the activities, taking into consideration novice learning, and the nature of unstructured problem solving activities. The first two elements relate to developing pedagogical practices in the activities: we recommend that teachers consider cognitive and affective processes of learning as a base for activity design and provide instructional scaffolding to improve opportunities for cognitively effortful and affectively meaningful learning. The next two elements suggest designing the activities in collaboration to enhance the application of digital fabrication to formal education, recommending that we familiarize teachers with Fab Labs and digital fabrication activities and increase collaboration between Fab Lab facilitators and school teachers.
Discussion—How to Design Cognitively Effortful and Affectively Meaningful Learning
Case studies of SNS, games for learning, makers education, and digital fabrication showed different ways of organizing digital education and illustrated in particular how different types of pedagogical design and digital tools have been used to support cognitively effortful and affectively meaningful learning in groups. In other words, in addition to knowledge co-construction, argumentation, and problem solving, opportunities for positive affective learning processes were provided, such as experiencing and expressing emotions in learning.
The first example, SNS, presented a learning environment that is familiar for students as an everyday communication tool. It provided an interaction arena to discuss and debate the course topics with the support of a micro-script (Noroozi et al., 2012). In terms of the cognitive and affective potential of SNS, it can be concluded that structured roles functioned as a support for affective interactions by managing the discourse, inducing and resolving conflicts, and assisting in creating equal participation and feelings of belonging between students (Isohätälä et al., 2017). However, as this case study was tightly pre-structured with a specific micro-script, the following examples presented open-ended collaborative problem-solving spaces. The second case study, the Minecraft game environment, showed how a commercial game was further designed and implemented in a primary school after school club. This was an example of a constructivist game approach where learners played but also modified their own games (Kafai and Burke, 2015). This study showed how game experience prompted students' knowledge acquisition as well as supported students' learning skills in terms of programming and collaboration. Furthermore, the study also indicated that the experience was highly emotionally engaging for the students, based on the students' descriptions of their emotional experiences of playing the game and the experiences they had when the game was over.
Minecraft is a block based world of “digital making”; digital fabrication and making enables a more thorough design experience to plan and fabricate students' own artifacts in the situated (unstructured and open-ended) problem solving contexts (Halverson and Sheridan, 2014; Martin, 2015; Taylor, 2016). Two different examples that were selected to illustrate maker education and digital fabrication showed the making activities in practice. The example from an early education context showed young children making in several contexts, including outdoor, and indoor locations (Siklander et al., 2019). These activities were observed to contribute to affectivity by allowing children to experience several different types of emotions while learning, such as curiosity, joy, and excitement, but also negative feelings such as impatience, frustration, and disappointment (Hyvönen and Kangas, 2007). These emotional expressions were particularly visible in their collaborative situations. The last case example turned the focus toward the teachers' and facilitators' point of view, investigating how they see making activities and how they understand what kind of support students need from them during these activities. This study, through the design principles of the Fab Lab activities, characterized the important factors that help teachers and facilitators to engage and support students' learning, such as implementing complex tasks, using digital tools, highlighting students' own roles and responsibilities, providing opportunities for reflection, encouraging trial and error, and providing flexibility in the timeframe (Blikstein, 2013; Georgiev et al., 2017; Hira and Hynes, 2018; Iwata et al., 2019). In addition to these principles, this study pointed out that adequate scaffolding is needed to improve opportunities for cognitively effortful and affectively meaningful learning. This is especially important in the situations where maker activities and digital fabrication procedures are introduced to novice makers, since they need to be familiarized with making culture as well as possibilities and tools for making (Gerjets and Hesse, 2004; Blikstein, 2013; Chu et al., 2017). Fab Lab and maker education differ in the use of social networking tools and games for learning, because digital tools are part of the making process and the learning environment is situated in the physical fabrication laboratory instead of online context (Kim and Reeves, 2007; Qian and Clark, 2016).
In general, SNS, digital gaming, and maker education have become increasingly interesting as a learning context in a modern education, mixing technological and creative skills, exploration and discovery, problem-solving and playfulness, as well as formal and informal education (Connolly et al., 2012; Davies and West, 2014; Georgiev et al., 2017). These types of learning opportunities have the potential to impact current and future educational practices and pedagogy. However, when critically evaluating these learning contexts' opportunities for cognitive and affective learning, it can be noted that the implementation of digital tools and environments alone is not enough (Gerjets and Hesse, 2004). Therefore, planning and facilitating learning activities in digital education requires knowledge of both technology and pedagogy (Laru et al., 2015; Häkkinen et al., 2017; Valtonen et al., 2019). For example, when designing learning with digital tools, it is important that technologies are embedded into the environment and that their use is designed prior the activities but also facilitated during the learning activities (Kirschner et al., 2006; Dillenbourg, 2013). This is the case especially in the maker education context where tools and devices for various kinds of fabrication need to be provided for the use of students with heterogeneous skills, knowledge, and aims (Blikstein, 2013; Chan and Blikstein, 2018).
In addition to pre-structured and facilitated learning activities, more spontaneous collaborative activities are recommended. This means that students should be provided opportunities to engage in learning activities which places students' needs, interests, and experiences as the starting point for their explorations. This type of learner-centered approach creates a learning environment that is built around creativity and allows personal emotional experiences, such as fun and enjoyment (Hyvönen and Kangas, 2007; Hyvönen, 2011; Hyvönen et al., 2014). A sound learning environment also guides and supports students' interest and promotes their active involvement in learning (Baker, 2015; Järvelä et al., 2016; Hadwin et al., 2018). In order to support learning activities in the ways described above, pedagogically sound practices will need to be established, and teachers' professional development will need to focus more on using technology to improve learning—not just on changing teachers' attitudes and abilities in more general ways (Davies and West, 2014). To conclude, we agree with Lowyck (2014, p. 15), who argues that “both learning theories and technology are empty concepts, when not connected to actors such as instructional designers, teachers and learners.” He continues with the image of teachers and learners as co-designers, which is well-aligned with the case studies presented in this paper, by claiming that “…they are co-designer of learning processes, which affect knowledge-construction, and management as well as products that result from collaboration in distributed knowledge environments.” Finally, this paper reinforces the idea suggested by Roschelle (2003) that we should focus on rich pedagogical practices and simple digital tools. In the context of the four case studies described in this paper, we can summarize that applying digital tools for education is meaningful when the aim is to provide opportunities for interactions and sharing ideas and thus increase students' opportunities to turn an active mind to multiple contexts.
This paper introduced studies that implemented the exploratory case approach and thus it can be criticized due to the lack of generalizability of the results. As case descriptions afford details and context specific illustrations, the possibility to draw general conclusions is limited (Stake, 1995; Yin, 2013). In these case studies a various different types of methods were used. For example, discussion notes from Facebook group discussions were analyzed, interviews after the each face to face meeting during the Minecraft experiment were conducted, and photo elicitation interviews as a method in a Fab Lab working was used as well as observations and teacher and student interviews were done during a second Fab lab experiment. All these case studies and related data collections illustrate participants' experiences during the digital learning. As research of affective learning in digital education emerges, a key direction for future studies is to explore how tools and technologies support affective learning and interaction, but also how different types of pedagogical designs can scaffold affective learning (Näykki et al., 2017a). Design studies could explore and develop tools and design principles to support the use of social media tools in learning, the design and use of games for learning, and the involvement of makers and digital fabrication activities in educational settings. The current study provides interesting research questions based on our observations of the case studies to be explored in the future studies. For example, it can be explored how to design tools to support affective learning in gaming or making contexts where learning designs are not usually the main focus of the activity. The contexts of the cases were unstructured or open problem spaces, although special pedagogical designs were implemented. However, much remains to be understood regarding the types and configurations of technological and pedagogical support that best promote cognitive and affective processes of collaborative learning.
The results obtained from these case studies are applicable to formal education, such as early childhood education, primary school education, teacher education, and in-service training, but also to informal learning contexts, such as game designing and Fab Lab facilitation. Engagement in creative making activities, productive group work, and seamless use of technology are essential twenty-first-century skills needed in all fields of work and in life in general. Teachers at all educational levels have an especially crucial role in developing these skills in their students, and therefore future teachers have to be offered opportunities to experience and learn within various collaborative environments.
Data Availability Statement
The datasets generated for this study will not be made publicly available Studies involving human subjects.
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.
Written informed consent was obtained from all adult participants and the parents of non-adult participants for the purposes of research participation. The raw data supporting the conclusions of this manuscript can be made available by the authors, from request, to any qualified researcher.
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
This study was supported by the Academy of Finland (316129) and Nordplus Horizontal (NPHZ-2018/10123).
Conflict of Interest
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.
Blikstein, P. (2013). “Digital fabrication, and ‘Making' in education: the democratization of invention,” in FabLabs: of Machines, Makers, and Inventors, eds J. Walter-Herrmann and C. Büching (Bielefeld: Transcript Publishers), 203–222. doi: 10.14361/transcript.9783839423820.203
Bowman, N. D., and Akcaoglu, M. (2014). ‘I See Smart People!': using facebook to supplement cognitive and affective learning in the university mass lecture. Int. High. Educ. 23, 1–8. doi: 10.1016/j.iheduc.2014.05.003.
Bull, G., Thompson, A., Searson, M., Garofalo, J., Park, J., Young, C., et al. (2008). Connecting informal and formal learning: experiences in the age of participatory media. Contemp. Issues Tech. Teach. Educ. 8, 100–7.
Chan, M. M., and Blikstein, P. (2018). Exploring problem-based learning for middle school design and engineering education in digital fabrication laboratories. Interdiscip. J. Problem-Based Learn. 12:7. doi: 10.7771/1541-5015.1746
Chu, S. L., Schlegel, R., Quek, F., Christy, A., and Chen, K. (2017). “‘I Make, Therefore I Am': the effects of curriculum-aligned making on children's self-identity,” in Proceedings of the CHI 2017 conference on Human Factors in Computing Systems (Denver, CO). doi: 10.1145/3025453.3025458
Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., and Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Comput. Educ. 59, 661–686. doi: 10.1016/j.compedu.2012.03.004
Dabbagh, N., and Reo, R. (2011). “Back to the future: tracing the roots and learning affordances of social software,” in Web 2.0-Based E-Learning: Applying Social Informatics for Tertiary Teaching, eds M. J. W. Lee and C. McLoughlin (Hershey, PA: IGI Global), 1–11. doi: 10.4018/978-1-60566-294-7.ch001
Davies, R. S., and West, R. E. (2014). “Technology integration in schools,” in Handbook of Research on Educational Communications and Technology, eds M. Spector, M. J. Bishop, M. D. Merrill, and J. Elen (New York, NY: Springer), 841–853. doi: 10.1007/978-1-4614-3185-5_68
Dillenbourg, P. (1999). “Introduction: what do you mean by ‘Collaborative Learning'?” in Collaborative Learning: Cognitive and Computational Approaches, ed P.Dillenbourg (Oxford: Elsevier Science, 1–19.
Dillenbourg, P. (2002). “Over-scripting CSCL: the risks of blending collaborative learning with instructional design,” in Three Worlds of CSCL: Can We Support CSCL?, eds P. A. Kirschner, W. Jochems, F. Catherine, and R. Magliozzi (Heerlen: Open Universiteit Nederland, 61–91.
Fab Foundation. What Is A Fab Lab? Fablab Foundation. Retrieved from: http://fabfoundation.org/index.php/what-is-a-fab-lab/index.html (accessed May 15, 2019).
Fischer, F., Kollar, I., Stegmann, K., and Wecker, C. (2013). Toward a script theory of guidance in computer supported collaborative learning. Educ. Psychol. 48, 56–66. doi: 10.1080/00461520.2012.748005
Gerjets, P. H., and Hesse, W. F. (2004). When are powerful learning environments effective? the role of learner activities and of students' conceptions of educational technology. Int. J. Educ. Res. 41, 445–465. doi: 10.1016/j.ijer.2005.08.011
Hadwin, A. F., Järvelä, S., and Miller, M. (2018). “Self-regulation, co-regulation and shared regulation in collaborative learning environments,” in Handbook of Self-Regulation of Learning and Performance, 2nd Edn, eds D. Schunk and J. Greene (New York, NY: Routledge), 83–106. doi: 10.4324/9781315697048-6
Häkkinen, P., Järvelä, S., Mäkitalo-Siegl, K., Ahonen, A., Näykki, P., and Valtonen, T. (2017). Preparing teacher students for 21st century learning practices (PREP 21) a framework for enhancing collaborative problem solving and strategic learning skills. Teach. Teach. 23, 1–17. doi: 10.1080/13540602.2016.1203772
Hämäläinen, R., and Häkkinen, P. (2010). Teachers' instructional planning for computer-supported collaborative learning: macro-scripts as a pedagogical method to facilitate collaborative learning. Teach. Teach. Educ. 26, 871–877. doi: 10.1016/j.tate.2009.10.025
Hyvönen, P., Helenius, A., and Hujala, E. (2016). “Enhancing children's competencies in playful learning and teaching,” in Play in Early Childhood Education: Learning in Diverse Contexts, eds M. Ebbeck and M. Waniganayake (South Melbourne: Oxford University Press, 99–116.
Hyvönen, P., Kronqvist, E.-L., Järvelä, S., Määttä, E., Mykkänen, A., and Kurki Interactive, K. (2014). Child-centred research methods for investigating efficacious agency of children. J. Early Childh. Educ. Res. 3, 82–107.
Isohätälä, J., Näykki, P., and Järvelä, S. (2019a). Cognitive and socio-emotional interaction in collaborative learning: exploring fluctuations in students' participation. Scand. J. Educat. Res. doi: 10.1080/00313831.2019.1623310. [Epub ahead of print].
Isohätälä, J., Näykki, P., Järvelä, S., and Baker, M. J. (2017). Striking a balance: socio-emotional processes during argumentation in collaborative learning interaction. Learn. Cult. Soc. Int. 16, 1–19. doi: 10.1016/j.lcsi.2017.09.003
Iwata, M., Pitkänen, K., Laru, J., and Mäkitalo, K. (2019). “Developing computational thinking practises through digital fabrication activities. paper presented,” in International Conference on Computational Thinking Education (Hong Kong).
Järvel,ä, S., Järvenoja, H., and Näykki, P. (2013). “Analyzing regulation of motivation as an individual and social process: a situated approach,” in Interpersonal Regulation of Learning and Motivation – Methodological Advances, eds S. Volet and M. Vauras (London: Routledge, 170–187.
Järvel,ä, S., Volet, S., and Järvenoja, H. (2010). Research on motivation in collaborative learning: moving beyond the cognitive-situative divide and combining individual and social processes. Educat. Psychol. 45, 15–27. doi: 10.1080/00461520903433539
Järvelä, S., Järvenoja, H., Malmberg, J., Isohätälä, J., and Sobocinski, M. (2016). How do types of interaction and phases of self-regulated learning set a stage for collaborative engagement? Learn. Instruct. 43, 39–51. doi: 10.1016/j.cedpsych.2017.01.009
Järvenoja, H., and Järvelä, S. (2013). “Regulating emotions together for motivated collaboration,” in Affective Learning Together: Social and Emotional Dimensions of Collaborative Learning, eds M. J. Baker, J. Andriessen, and S. Järvelä (London: Routledge, 162–181.
Järvenoja, H., Järvelä, S., Törmänen, T., Näykki, P., Malmberg, J., Mykkänen, A., et al. (2018). Capturing motivation and emotion regulation during a learning process. Front. Learn. Res. 6, 85–104. doi: 10.14786/flr.v6i3.369
Jeong, H., and Hmelo-Silver, C. E. (2016). Seven affordances of computer-supported collaborative learning: how to support collaborative learning? how can technologies help? Educat. Psychol. 51, 247–265. doi: 10.1080/00461520.2016.1158654
Kazimoglu, C., Kiernan, M., Bacon, L., and Mackinnon, L. (2012). A serious game for developing computational thinking and learning introductory computer programming. Proce. Soc. Behav. Sci. 47, 1991–1999. doi: 10.1016/j.sbspro.2012.06.938
King, A. (2007). “Scripting collaborative learning processes: a cognitive perspective,” in Scripting Computer-Supported Collaborative Learning: Cognitive, Computational and Educational Perspectives, eds F. Fischer, I. Kollar, H. Mandl, and J. Haake (New York, NY: Springer), 13–37. doi: 10.1007/978-0-387-36949-5_2
Kirschner, P. A., Sweller, J., and Clark, R. E. (2006). Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educat. Psychol. 41, 75–86. doi: 10.1207/s15326985ep4102_1
Kollar, I., Fischer, F., and Slotta, J. (2007). Internal and external scripts in computer-supported collaborative inquiry learning. Learn. Instruct. 17, 708–721. doi: 10.1016/j.learninstruc.2007.09.021
Kreijns, K., Kirschner, P. A., and Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Comput. Hum. Behav. 19, 335–353. doi: 10.1016/S0747-5632(02)00057-2
Kuhn, J., and Dikkers, S. (2015). “How can third party tools be used in minecraft?.” in Teacher Craft: How Teachers Learn to Use Minecraft in Their Classrooms, ed S. Dikkers (Pittsburgh, PA: ETC Press; Carnegie Mellon University, 123–39.
Laru, J., Näykki, P., and Järvelä, S. (2012). Supporting small-group learning using multiple web 2.0 Tools: a case study in the higher education context. Int. Higher Educ. 15, 29–38. doi: 10.1016/j.iheduc.2011.08.004
Laru, J., Vuopala, E., Iwata, M., Pitkänen, K., Sánchez, M. L., and Näykki, J. (2019). “Designing seamless learning activities for school visitors in the context of fablab oulu,” in Seamless Learning: Perspectives, Challenges and Opportunities. Lecture Notes in Educational Technology, eds C. Looi, L. Wong, C. Glahn, and S. Cai (Singapore: Springer), 153–169. doi: 10.1007/978-981-13-3071-1_8
Lowyck, J. (2014). “Bridging learning theories and technology-enhanced environments: a critical appraisal of its history,” in Handbook of Research on Educational Communications and Technology eds M. Spector, M. J. Bishop, M. D. Merrill, and J. Elen (New York, NY: Springer), 3–20. doi: 10.1007/978-1-4614-3185-5_1
Ludvigsen, S., and Mørch, A. (2010). Computer-supported collaborative learning: basic concepts, multiple perspectives, and emerging trends. Int. Encycl. Educ. 5, 290–296. doi: 10.1016/B978-0-08-044894-7.00493-0
Lye, S. Y., and Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: what is next for K-12? Comput. Hum. Behav. 41, 51–61. doi: 10.1016/j.chb.2014.09.012
May, K., and Elder, A. (2018). Efficient, helpful, or distracting? a literature review of media multitasking in relation to academic performance. Int. J. Educ. Tech. Higher Educat. 15, 1–17. doi: 10.1186/s41239-018-0096-z
Miyake, N., and Kirschner, P. (2014). “The social and interactive dimensions of collaborative learning,” in The Cambridge Handbook of the Learning Sciences: Cambridge Handbooks in Psychology, ed R. Sawyer (Cambridge: Cambridge University Press), 418–438. doi: 10.1017/CBO9781139519526.026
Näykki, P., Isohätälä, J., Järvelä, S., Pöysä-Tarhonen, J., and Häkkinen, P. (2017a). Facilitating socio-cognitive and socio-emotional monitoring in collaborative learning with a regulation macro script: an exploratory study. Int. J. Comput. Support. Collab. Learn. 12, 251–279. doi: 10.1007/s11412-017-9259-5
Näykki, P., Järvelä, S., Kirschner, P., and Järvenoja, H. (2014). Socio-emotional conflict in collaborative learning – a process-oriented case study in a higher education context. Int. J. Educat. Res. 68, 1–14. doi: 10.1016/j.ijer.2014.07.001
Näykki, P., Järvenoja, H., Järvelä, S., and Kirschner, P. (2017b). Monitoring makes a difference: quality and temporal variation in teacher education students' collaborative learning. Scand. J. Educ. Res. 61, 31–46. doi: 10.1080/00313831.2015.1066440
Nebel, S., Schneider, S., and Rey, G. D. (2016). Mining learning and crafting scientific experiments: a literature review on the use of minecraft in education and research. J. Educat. Technol. Soc. 19, 355–366.
Noroozi, O., Kirschner, P. A., Biemans, H. J., and Mulder, M. A. (2017). Promoting argumentation competence: extending from first- to second-order scaffolding through adaptive fading. Educat. Psychol. Rev. 30, 153–176. doi: 10.1007/s10648-017-9400-z
Noroozi, O., Weinberger, A., Biemans, H. J., Mulder, A. M., and Chizari, M. (2012). Argumentation-based computer supported collaborative learning (ABCSCL): a synthesis of 15 years of research. Educat. Res. Rev. 7, 79–106. doi: 10.1016/j.edurev.2011.11.006
Pedro, L., Barbosa, C., and Santos, C. (2018). A critical review of mobile learning integration in formal educational contexts. Int. J. Educat. Tech. High. Educ. 15, 1–15. doi: 10.1186/s41239-018-0091-4
Pekrun, R., Goetz, T., Titz, W., and Perry, R. P. (2002). Academic emotions in students' self-regulated learning and achievement: a program of qualitative and quantitative research. Educ. Psychol. 37, 91–106. doi: 10.1207/S15326985EP3702_4
Pekrun, R., and Linnenbrink-Garcia, L. (2012). “Academic emotions and student engagement,” in Handbook of Research on Student Engagement, eds S. L.Christenson, A. L. Reschly, and C. Wylie (New York, NY: Springer), 259–282. doi: 10.1007/978-1-4614-2018-7_12
Pellas, N. (2014). Exploring interrelationships among high school students' engagement factors in introductory programming courses via a 3d multi-user serious game created in open sim. J. UCS 20, 1608–1628.
Pitkänen, K., Iwata, M., and Laru, J. (2019). Supporting fab lab facilitators to develop pedagogical practices to improve learning in digital fabrication activities. Paper presented at Fab Learn Europe 2019 Conference. Oulu, Finland. doi: 10.1145/3335055.3335061
Puhl, T., Vuopala, E. T., Hurme, R., and Weinberger, A. (2017). “Effects of fading-out collaboration scripts on argumentation and learning outcomes in facebook,” in Symposium Presentation in Earli Conference (Tampere).
Risberg, C. (2015). More than just a video game: tips for using minecraft to personalize the curriculum and promote creativity, collaboration, and problem solving. Illinois Assoc. Gifted Child. J. 44–48.
Roschelle, J., and Teasley, S. D. (1995). “The construction of shared knowledge in collaborative problem solving,” in Computer Supported Collaborative Learning, ed C. O'Malley (Berlin: Springer Verlag), 69–97. doi: 10.1007/978-3-642-85098-1_5
Rosé, C. P., Law, N., Cress, U., and Ludvigsen, S. (2019). Highlighting tools and technologies for collaborative learning. Int. J. Comput.-Support. Collab. Learn. 14, 1–6. doi: 10.1007/s11412-019-09297-z
Ruotsalainen, H., Steinbeiss, G.- J., and Laru, J. (2020). Designing Integrated Game Experiences for Informal and Formal Learning Activities in the Context of the K-12 Minecraft After School Club. Faculty of Educational Sciences, University of Oulu: Unpublished manuscript.
Sobocinski, M., Malmberg, J., and Järvelä, S. (2016). Exploring temporal sequences of regulatory phases and associated interaction types in collaborative learning tasks. Metacogn. Learn. 12, 275–294. doi: 10.1007/s11409-016-9167-5
Stracke, C. M., and Tan, E. (2018). “The quality of open online learning and education,” in Rethinking Learning in The Digital Age - Making the Learning Sciences Count: The International Conference of the Learning Sciences (ICLS) 2018, eds J. Kay, R. Luckin, M. Mavrikis, and K. Porayska-Pomsta (London: International Society of the Learning Sciences).
Tsovaltzi, D. R., Judele, T., Puhl, and Weinberger, A. (2017). Leveraging social networking sites for knowledge co-construction: positive effects of argumentation structure, but premature knowledge consolidation after individual preparation. Learn. Instruc. 52, 161–179. doi: 10.1016/j.learninstruc.2017.06.004
Ucan, S., and Webb, M. (2015). Social regulation of learning during collaborative inquiry learning in science: how does it emerge and what are its functions? Int. J. Sci. Educ. 37, 2503–2532. doi: 10.1080/09500693.2015.1083634
Valtonen, T., Sointu, E., Kukkonen, J., Mäkitalo, K., Hoang, N., Häkkinen, P., et al. (2019). Examining pre-service teachers' technological pedagogical content knowledge as evolving knowledge domains: a longitudinal approach. J. Comput. Assist. Learn. 35, 491–502. doi: 10.1111/jcal.12353
Volet, S., Summers, M., and Thurman, J. (2009). High-level co-regulation in collaborative learning: how does it emerge and how is it sustained? Learn. Instruct. 19, 128–143. doi: 10.1016/j.learninstruc.2008.03.001
Vuopala, E., Hyvönen, P., and Järvelä, S. (2016). Interactional features in successful collaborative learning in virtual learning spaces. Active Learn. Higher Educ. 17, 25–38. doi: 10.1177/1469787415616730
Vuopala, E., Näykki, P., Isohätälä, J., and Järvelä, S. (2019). Knowledge co-construction and task monitoring in scripted collaborative learning. Learn. Cult. Soc. Interact. 21, 234–249. doi: 10.1016/j.lcsi.2019.03.011
Wang, X., Kollar, I., and Stegmann, K. (2017). Adaptable scripting to foster regulation processes and skills in computer-supported collaborative learning. Int. J. Comput. Support. Collab. Learn. 12, 153–172. doi: 10.1007/s11412-017-9254-x
Wecker, C., and Fischer, F. (2011). From guided to self-regulated performance of domain-general skills: the role of peer monitoring during the fading of instructional scripts. Learn. Instruct. 21, 746–756. doi: 10.1016/j.learninstruc.2011.05.001
Weinberger, A., and Fischer, F. (2006). A framework to analyse argumentative knowledge construction in computer-supported collaborative learning. Comput. Educ. 46, 71–95. doi: 10.1016/j.compedu.2005.04.003
Weinberger, A., Stegmann, K., and Fischer, F. (2010). Learning to argue online: scripted groups surpass individuals (Unscripted Groups Do Not). Comput. Hum. Behav. 26, 506–515. doi: 10.1016/j.chb.2009.08.007
Wodzicki, K., Schwämmlein, E., and Moskaliuk, J. (2012). ‘Actually, I wanted to learn: study-related knowledge exchange on social networking sites. Int. Higher Educ. 15, 9–14. doi: 10.1016/j.iheduc.2011.05.008
Woolf, B. P. (2010). A roadmap for education technology. Computing Research Association. Retrieved from: http://www.cra.org/ccc/files/docs/groe/GROE%20Roadmap%20for%20Education%20Technology%20Final%20Report.pdf (accessed May 25, 2019).
Zorn, C., Wingrave, C. A., Charbonneau, E., and LaViola, J. J. Jr. (2013). “Exploring Minecraft as a conduit for increasing interest in programming,” in Proceedings of the 8th International Conference on the Foundations of Digital Games (FDG 2013), Chania, Crete, Greece. Available online at: http://www.fdg2013.org/program/papers/paper46_zorn_etal.pdf
Keywords: affective learning, collaborative learning, digital education, digital fabrication, maker education, social networking systems
Citation: Näykki P, Laru J, Vuopala E, Siklander P and Järvelä S (2019) Affective Learning in Digital Education—Case Studies of Social Networking Systems, Games for Learning, and Digital Fabrication. Front. Educ. 4:128. doi: 10.3389/feduc.2019.00128
Received: 03 June 2019; Accepted: 16 October 2019;
Published: 01 November 2019.
Edited by:Leman Figen Gul, Istanbul Technical University, Turkey
Reviewed by:Katy Jordan, University of Cambridge, United Kingdom
Aydin Oztoprak, TOBB University of Economics and Technology, Turkey
Copyright © 2019 Näykki, Laru, Vuopala, Siklander and Järvelä. 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) and the copyright owner(s) 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: Piia Näykki, firstname.lastname@example.org