Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Psychol., 01 August 2025

Sec. Educational Psychology

Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1650271

This article is part of the Research TopicEmotional Intelligence in Educational Psychology: Enhancing Learning and DevelopmentView all 13 articles

Exploring the predictors of academic performance: the role of personality, rational beliefs, and self-efficacy


Lucica Emilia Coa
Lucica Emilia Coşa*Vasile Cernat Vasile Cernat
  • Department of Teacher Training, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureş, Târgu Mureş, Romania

Introduction: This study examines the predictive roles of personality traits, rational/irrational beliefs, and self-efficacy in academic performance, while also investigating how these factors interact with gender, residence, and school type.

Methods: Data were collected from 453 students at George Emil Palade University of Medicine, Pharmacy, Science, and Technology in Târgu Mureş using the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ), the General Self-Efficacy Scale (SES), and the short-form Attitudes and Beliefs Scale (ABSs).

Results: Results revealed that institutional factors, particularly high school type, emerged as the strongest predictors of academic performance. Among the psychological traits, aggressiveness/hostility, impulsive sensation seeking, and rationality significantly predicted academic performance. Notably, impulsive sensation seeking was positively linked to higher performance in female but not male students, while aggressiveness/hostility predicted better performance only among students with high self-efficacy.

Discussion: These findings highlight the potential for tailored intervention programs that take into account gender and personality differences to improve academic outcomes.

1 Introduction

Academic performance is a cornerstone of future professional success and overall life achievement (Kuncel et al., 2004). Given its significance, researchers have sought to identify key factors that influence academic outcomes (Mammadov, 2022; Abd-Elmotaleb and Saha, 2013). While some studies emphasize the role of personality traits (Mammadov, 2022), others highlight the contributions of self-efficacy and cognitive evaluations (Byars-Winston et al., 2017; Abd-Elmotaleb and Saha, 2013). Despite these insights, findings remain inconsistent, warranting further investigation into the psychological determinants of academic performance, particularly in exam settings. The present study addresses this gap by examining the alternative five-factor model of personality and the moderating effects of self-efficacy and rational/irrational beliefs.

The relationship between personality traits and educational success has been widely examined, particularly within the framework of the Big Five model (Poropat, 2009). Among these traits, conscientiousness consistently emerges as one of the strongest predictors of academic achievement (Rani Bhattacharjee and Ramkumar, 2015; Conard, 2006; Furnham et al., 2013; Hübner et al., 2022; O’Connor and Paunonen, 2007; Poropat, 2009; Verbree et al., 2023). Openness to experience also plays a significant role, likely due to its association with deep learning strategies (Chamorro-Premuzic and Furnham, 2008; Farsides and Woodfield, 2003).

Agreeableness has been linked to academic success, though its influence appears weaker (Poropat, 2009; Furnham et al., 2013; Farsides and Woodfield, 2003). Agreeable individuals tend to engage in collaborative learning, seek academic support, and provide emotional encouragement during assessments (Furnham et al., 2013).

Findings regarding neuroticism and extraversion are less consistent. While some studies report no significant association between neuroticism and academic performance (Mammadov, 2022), others indicate a negative correlation, particularly in primary education, but not at higher academic levels (Poropat, 2009). Moderating effects have also been observed; for instance, neuroticism may indirectly enhance performance at high self-efficacy levels while exerting a direct negative effect when self-efficacy is low (De Feyter et al., 2012).

How can these findings be explained? Some researchers propose that neurotic students experience heightened anxiety and diminished self-confidence, hindering their full engagement in learning (Chamorro-Premuzic, 2007). Others suggest that neuroticism may impair academic performance through ineffective learning strategies, specifically by hindering the ability to organize new information into coherent cognitive structures (Kokkinos et al., 2015).

The link between extraversion and academic performance appears most pronounced in primary education, where teacher-student relationships play a more central role in shaping outcomes (Poropat, 2011). At higher educational levels, assessment methods (e.g., written exams) and shifting motivations may weaken this association. Extraverted students may view studying instrumentally, as a means to obtain a degree or secure employment, rather than being intrinsically motivated (Komarraju et al., 2009). Additionally, their stronger focus on social engagement (O’Connor and Paunonen, 2007) could further detract from academic achievement, potentially leading to negative correlations in some contexts.

While most research on personality and academic performance has employed the Big Five model, few studies have utilized the alternative five-factor model (AFFM) (Stelmack, 2004). Evidence suggests significant correlations between factors across these two frameworks: sociability aligns with extraversion, neuroticism-anxiety with emotional stability, aggressiveness-hostility with openness and agreeableness, and activity with both extraversion and conscientiousness (Joireman, 2004; Zuckerman et al., 1993; Zuckerman, 2008).

Studies applying the AFFM reveal notable associations between aggressiveness and academic performance (Aluja-Fabregat and Torrubia-Beltri, 1998; Balkin, 1987; Lounsbury et al., 2003; Loveland et al., 2007). Research incorporating cognitive and temperamental factors further identifies sensation seeking, impulsivity, and fearlessness as key predictors (Colom et al., 2007). Gender differences also emerge, with evidence suggesting girls’ superior impulse control may contribute to stronger academic outcomes (Carvalho, 2016).

The link between impulsive sensation-seeking and academic performance is nuanced. Although traits like organization and routine tolerance typically facilitate learning, qualities seemingly at odds with impulsive sensation-seeking (Azikiwe, 1998; Cladellas et al., 2017; Cohen, 1991), exploratory learning methods may engage such individuals, enabling high achievement (Poropat, 2014; Gomá-i-Freixanet, 2001; Wismeijer and Gomà-i-Freixanet, 2012).

Caution is warranted in generalizing these findings, as personality profiles vary across academic disciplines (Coşa and Cernat, 2024). Person-environment fit theory posits that students self-select into fields aligning with their traits (Kaufman et al., 2013; Vedel, 2016), a congruence that enhances success (Wen et al., 2021; Vedel, 2016). Additionally, the influence of personality may differ by assessment type, with traits more strongly predicting performance in coursework than in final exams (Furnham et al., 2013).

Social cognitive theory views personality as a dynamic system of intrapersonal factors that motivate and regulate behavior (Bandura, 1991). Within this framework, self-efficacy emerges as a malleable construct developed through experience, particularly in challenging situations requiring sustained effort (Bandura, 2001). This theory posits that individuals’ performance outcomes depend fundamentally on their beliefs about their capability to execute specific tasks (Bandura, 1993). While some researchers suggest self-efficacy plays a relatively modest role in performance prediction (Heggestad and Kanfer, 2005), most studies emphasize its critical importance (Richardson et al., 2012; Talsma et al., 2018).

Meta-analytic research reveals only minor gender differences in academic self-efficacy (Huang, 2013), while consistently supporting a significant association between self-efficacy and academic achievement. These studies further identify various cognitive and non-cognitive factors that mediate or moderate this relationship, including reciprocal effects between self-efficacy and performance (Honicke and Broadbent, 2016). Notably, self-efficacy appears particularly beneficial for neurotic students’ academic performance (De Feyter et al., 2012), though evidence also suggests personality traits may themselves be mediated by self-efficacy (Stajkovic et al., 2018; Judge et al., 2007).

Rational Emotive Behavior Theory (Ellis et al., 2010) posits that belief systems mediate emotional responses to events. Irrational beliefs—characterized by rigidity and illogical extremes—tend to hinder goal attainment, while rational beliefs—flexible, logical, and pragmatic—facilitate achievement (Dryden and Branch, 2008). In academic contexts, these belief systems may indirectly influence performance through study behaviors. Specifically, irrational beliefs correlate with procrastination, subsequently impairing performance through rushed preparation or test anxiety (Balkis, 2013). While some studies report no direct link between irrational beliefs and objective academic outcomes (Allen et al., 2017), the association between negative affect and impaired performance is well-established (Callaghan and Papageorgiou, 2014). Conversely, rational beliefs consistently predict stronger academic results (Balkis et al., 2013; Balkıs, 2015). Students endorsing rational academic beliefs typically begin exam preparation earlier, thereby avoiding procrastination and achieving better outcomes through more effective study periods (Balkis et al., 2024; Sapp, 1996).

This review highlights persistent gaps and contradictions in understanding how personality traits and related factors influence academic performance. Future research should employ more nuanced analyses examining not only individual traits but also their interactions. Particularly valuable would be investigations using the alternative five-factor model (AFFM), which offers a distinct perspective from the dominant Big Five framework, while also accounting for contextual variables like gender and educational background. Additionally, given Romania’s pronounced rural-urban educational disparities (Munteanu, 2024), students’ geographical residence represents a critical moderating variable that may shape personality-performance relationships. Addressing these dimensions could resolve existing theoretical conflicts and provide a more comprehensive model of academic achievement determinants.

Objectives and hypotheses

General objective

This study aims to investigate the predictive role of personality traits in academic performance on the high school graduation examination, and to examine the potential moderating effects of self-efficacy and rational/irrational beliefs on these relationships.

Specific objectives

I. Confirmatory objectives

1. To assess the direct effects of personality traits, self-efficacy, and rational/irrational beliefs on graduation exam performance.

2. To evaluate whether self-efficacy and rational/irrational beliefs moderate the relationship between personality traits and academic performance.

II. Exploratory objectives

1. To investigate gender differences (male vs. female students) in the associations between psychological variables (personality, self-efficacy, rational/irrational beliefs) and exam performance.

2. To analyze how residential environment (urban vs. rural) interacts with psychological variables to influence academic outcomes.

Research hypotheses

H1: Personality traits, self-efficacy, and rational/irrational beliefs significantly predict performance on the high school graduation examination.

H2: The relationship between personality traits and academic performance is moderated by self-efficacy and rational/irrational beliefs.

The exploratory objectives do not include a priori hypotheses but will be examined through data-driven analyses to identify potential patterns related to gender and residential environment.

2 Materials and methods

2.1 Participants

Throughout the duration of this study, ethical protocols were followed, and participation in the research was voluntary. All participants were required to provide written informed consent, and the confidentiality and anonymity of their data were guaranteed. We used a cross-sectional research design and collected data from 453 students; 157 were boys, 295 were girls, and one participant did not specify their gender. The participants are first-year students from the Department for Teacher Training at the “G.E. Palade” University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş, who have just graduated from high school. In Romania, the Departments of Teacher Education prepare students who simultaneously pursue their primary academic majors. Consequently, the sample includes students studying diverse scientific disciplines, including medicine, engineering, economics, law, history, and sports.

2.2 Measures

The study utilized the Zuckerman–Kuhlman Personality Questionnaire (ZKPQ), which was adapted for the Romanian population by Opre and Albu (2010) and Sârbescu and Neguţ (2013). Zuckerman defined the five factors from the alternative factor model as follows (Zuckerman et al., 1993):

- Impulsive sensation seeking: Consists of two facets: impulsivity and sensation seeking. Impulsivity refers to a lack of planning and a tendency to act quickly on impulse without consideration. Sensation-seeking describes a general desire for thrills or the willingness to take risks for excitement, a preference for unpredictable friends and situations, and a need for change and novelty (Cronbach’s alpha = 0.760).

- Neuroticism-anxiety: Describes emotional upset, fearfulness, tension, worry, lack of self-confidence, sensitivity to criticism, and obsessive indecision (Cronbach’s alpha = 0.869).

- Aggression-hostility: Depicts readiness to express verbal aggression, rude antisocial behavior, vengefulness, spitefulness, a quick temper, and impatience with others (Cronbach’s alpha = 0.632).

- Sociability: Differentiated into two aspects: enjoying large social events, interacting with many people, having many friends, and intolerance for social isolation (Cronbach’s alpha = 0.784).

- Activity: Consists of two facets: the need for general activity, impatience, and restlessness when there is nothing to do, and a preference for challenging and hard work, and an active and busy life (Cronbach’s alpha = 0.718).

The General Self-Efficacy Scale (SES) by Schwarzer and Jerusalem (1995), adapted and standardized for the Romanian population (Vasiliu et al., 2015), allows for obtaining a global indicator of self-efficacy (Cronbach’s alpha = 0.921).

The Attitudes and Beliefs Scale short form (ABS-SV; David, 2007) consists of 8 items and measures rational and irrational evaluative beliefs as described by Ellis and Dryden (1997) (Cronbach’s alpha for irrationality = 0.764 and for rationality = 0.766).

Academic results were measured by the general average obtained in the baccalaureate exam. The exam takes place at the end of the 12th grade. The results obtained were categorized into four performance categories.

3 Results

The descriptive statistics and correlation coefficients are presented in Table 1. Impulsive sensation seeking and aggressivity were negatively associated with academic performance (r = −0.13, p < 0.01 and r = −0.17, p < 0.01, respectively). In contrast, rationality was positively associated with academic performance (r = 0.19, p < 0.01). Multiple regression analysis showed that these three variables explained 6.3% of the variance in academic performance. Impulsive sensation seeking had a marginal effect (β = −0.08, p = 0.11), whereas aggressivity and rationality had significant effects (β = −0.13, p < 0.01 and β = 0.17, p < 0.001, respectively).

TABLE 1
www.frontiersin.org

Table 1. Means, standard deviations, and correlations.

Given the important role of student gender and residence highlighted in previous studies, the analysis also controlled for these variables. When gender and residence were included in the analysis, the total variance explained by the model increased to 8.1%. The rural versus urban residence of the students had a significant effect on academic performance (β = 0.12, p < 0.01), whereas the effect of gender was not significant (β = 0.07, p = 0.11).

The next step of the analysis was to test for the hypothesized interactions. The first tested interaction was between neuroticism and gender. As expected, the change in R2 was significant when the equation also included the interaction term [R2-change = 0.013, F(1, 443) = 5.809, p < 0.05]. While among female students, neuroticism had no significant effect on academic performance (B = −0.009, p = ns), among male students it had a significant positive effect (B = 0.041, p < 0.05), indicating that higher levels of neuroticism are associated with greater academic performance for this group.

The interaction between neuroticism and gender on academic performance was qualified by a three-way interaction between these variables and participants’ irrationality [R2-change = 0.013, F(1, 433) = 7.41, p = 0.007]. As illustrated in Figure 1, participants’ neuroticism and irrationality interacted differently for the male and female students. Specifically, while the slopes of irrationality were significant for both male and female students only at low levels of neuroticism, the signs of these slopes were opposite: positive for male students and negative for female students (B = 0.06, p = 0.04 and B = −0.08, p = 0.01, respectively).

FIGURE 1
Line graphs comparing academic performance against irrationality for males and females. Males show increasing performance across low, medium, and high neuroticism levels. Females show decreasing performance for low neuroticism and increasing for high neuroticism as irrationality increases.

Figure 1. Three-way interaction effect of neuroticism (low, medium, high), irrational beliefs (x-axis), and gender (left: male; right: female) on academic performance (y-axis).

Gender also interacted marginally with impulsive sensation seeking and rationality [R2-change = 0.01, F(1, 433) = 4.17, p = 0.042]. As depicted in Figure 2, while all rationality slopes were positive, for men they were significant at medium and low levels of impulsive sensation seeking (B = 0.09, p = 0.01 and B = 0.06, p = 0.01, respectively), for females they were significant at medium and high levels of impulsive sensation (B = 0.03, p = 0.04 and B = 0.05, p = 0.01, respectively).

FIGURE 2
Line graphs displaying the relationship between rationality and academic performance for males and females, with lines for low, medium, and high impulsive sensation seeking levels. Both genders show a positive correlation, with high sensation seekers performing best as rationality increases.

Figure 2. Three-way interaction effect of impulsive sensation seeking (low, medium, high), rational beliefs (x-axis), and gender (left panel: male; right panel: female) on academic performance (y-axis).

Finally, the effects of aggressivity on academic performance depended on self-efficacy [R2-change = 0.02, F(1, 436) = 13.75, p < 0.001]. As illustrated in Figure 3, aggressiveness tended to have a positive effect on academic performance at higher levels of self-efficacy but negative effects at low levels of self-efficacy. However, only the last effect was significant (B = −0.08, p < 0.001). This two-way interaction was not qualified by students’ gender.

FIGURE 3
Line graph showing the relationship between aggression and academic performance across self-efficacy levels. High self-efficacy is a solid line increasing slightly. Medium is a dashed line decreasing, while low is a dotted line decreasing steeply.

Figure 3. Two-way interaction between aggressivity (x-axis) and self-efficacy (low, medium, and high) on academic performance (y-axis).

4 Discussion

This study examined two hypotheses concerning predictors of academic performance, operationalized through baccalaureate exam results in a sample of 453 Romanian students. Using three validated instruments, we assessed the Alternative Five Factor Model personality traits, self-efficacy, and rational/irrational beliefs. Our findings partially supported Hypothesis 1 (H1), revealing significant negative associations between academic performance and both impulsive sensation seeking and aggression/hostility. These results align with prior research (Balkin, 1987; Cladellas et al., 2017; Colom et al., 2007; Cohen, 1991; Lounsbury et al., 2003; Loveland et al., 2007; Poropat, 2014), though they contrast with Aluja-Fabregat and Torrubia-Beltri’s (1998) gender-specific findings regarding aggression.

However, when controlling for high school type, a proxy for prior academic achievement in Romania’s tracked education system (Munteanu, 2024), most personality effects became non-significant. Only rational beliefs maintained predictive power, suggesting their unique role in academic success, independent of institutional factors, gender, and residential environment.

The finding that personality traits accounted for only a modest proportion of variance in performance compared to high school type aligns with meta-analytic evidence underscoring the strong predictive role of prior academic achievement (Richardson et al., 2012). While the substantial influence of high school type highlights the importance of educational context over individual differences, it should be noted that high school type likely serves as a proxy not only for prior academic performance but also for cognitive and motivational factors that significantly shape academic performance.

Contrary to H1, our analysis found no significant associations between academic performance and the remaining personality factors (activity, neuroticism/anxiety, and sociability). These null findings align with Poropat’s (2009) and Mammadov’s (2022) conclusions for this age group, but contrast with studies reporting significant links between neuroticism (Chamorro-Premuzic, 2007; Kokkinos et al., 2015) or extraversion/sociability (Bidjerano and Dai, 2007; O’Connor and Paunonen, 2007; Komarraju et al., 2009) and academic achievement. Similarly, we found no direct relationship between self-efficacy and exam performance, a finding that contradicts some studies (Richardson et al., 2012; Talsma et al., 2018) but is consistent with others (Judge et al., 2007).

This discrepancy may reflect unique aspects of the Romanian educational context, where several factors could attenuate the predictive power of self-efficacy. First, the baccalaureate represents a high-stakes testing situation with significant consequences for university admission. This may create external pressures that override students’ self-efficacy beliefs. Second, this high-stakes context could further magnify the negative effects of test anxiety on performance (Richardson et al., 2012). These contextual factors may help explain why certain psychological predictors that emerge consistently in other educational systems failed to demonstrate significant effects in our study. Finally, we should also consider that this study employed a measure of general self-efficacy rather than one focused on academic performance.

Our second hypothesis (H2) proposed that rational/irrational beliefs and self-efficacy would moderate the relationship between personality traits and academic performance. The results partially support this hypothesis, revealing complex interaction patterns. Consistent with previous research (Balkis et al., 2024; Sapp, 1996), we found a general positive association between rational beliefs and academic performance. However, this relationship was moderated by both gender and impulsive sensation seeking. For male students, rational beliefs predicted better performance primarily at medium or low levels of impulsive sensation seeking. This aligns with Cohen’s (1991) assertion that academic success requires organization and planning–cognitive processes that rational, less impulsive individuals may implement more effectively. On the other hand, for female students rational beliefs enhanced performance even at medium-high levels of impulsive sensation seeking. This suggests that impulsive female students may compensate through exploratory learning strategies (Gomá-i-Freixanet, 2001; Poropat, 2014), while still benefiting from rational belief structures.

The analyses further showed that the aggression/hostility trait showed differential effects depending on self-efficacy levels. At high self-efficacy, aggression/hostility was positively associated with performance, suggesting these students may channel aggressive tendencies motivationally (Honicke and Broadbent, 2016). At low self-efficacy, aggression/hostility correlated with poorer performance, indicating maladaptive outcomes when combined with low confidence. These patterns were consistent across genders, though prior research suggests stronger effects in males (Aluja-Fabregat and Torrubia-Beltri, 1998).

In conclusion, our results support a dynamic conceptualization where traits manifest differently depending on cognitive/affective moderators, gender influences how personality-behavior relationships unfold, and high self-efficacy may help “reframe” typically negative traits (like aggression) into performance-enhancing factors.

4.1 Limitations

While this research offers valuable insights into personality-academic performance relationships, its findings are constrained by several limitations. The study’s reliance on self-report measures for assessing personality traits introduces potential response biases, including social desirability effects and subjective interpretations of questionnaire items, which may not fully capture the complexity of these psychological constructs. Furthermore, personality is a complex construct that cannot be fully captured through an evaluation tool such as the one used in the current study. Finally, the exclusive use of students from a single university limits the generalizability of our results to broader student populations. The non-representative nature of our sample suggests these findings should be complemented by future research employing more diverse, representative samples.

5 Conclusion

This study investigated the predictive relationships between personality traits (alternative five-factor model), rational beliefs, self-efficacy, and academic performance. Our findings revealed several key insights:

Initial analyses showed negative associations between academic performance and both impulsive sensation-seeking and aggression/hostility. However, after controlling for high school type (likely a proxy for prior academic achievement), gender, and residential environment, only rational beliefs maintained a significant direct relationship with performance. The strongest predictors emerged as institutional factors, particularly high school type, rather than individual psychological traits.

The study uncovered important interaction effects that qualify these relationships. The beneficial effect of rational beliefs on academic performance varied significantly by both gender and levels of impulsive sensation-seeking. Similarly, the impact of aggression/hostility depended crucially on students’ self-efficacy levels, demonstrating how motivational factors can modulate trait expression.

5.1 Implications

These results suggest three lines of action. First, the development of targeted personalized intervention programs that account for gender differences in how rational beliefs and personality traits influence learning outcomes. Second, training programs to enhance students’ academic self-efficacy, particularly for those displaying aggression/hostility traits, to help channel these characteristics productively. And third, greater support for students from rural areas, who demonstrated systematically lower performance despite comparable trait profiles.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

This is an observational study, Research Ethics Committee has confirmed that no ethical approval is required. Informed consent was obtained from all individual participants included in the study.

Author contributions

LC: Formal Analysis, Writing – review and editing, Software, Methodology, Writing – original draft, Data curation, Project administration, Conceptualization, Validation, Investigation, Supervision. VC: Software, Writing – review and editing, Writing – original draft, Data curation, Validation, Formal Analysis, Methodology.

Funding

The authors declare that no financial support was received for the research and/or publication of this article.

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.

Generative AI statement

The authors declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abd-Elmotaleb, M., and Saha, S. K. (2013). The role of academic self-efficacy as a mediator variable between perceived academic climate and academic performance. J. Educ. Learn. 2, 117–129. doi: 10.5539/jel.v2n3p117

Crossref Full Text | Google Scholar

Allen, M. S., El-Cheikh, S., and Turner, M. J. (2017). A longitudinal investigation of irrational beliefs, hedonic balance and academic achievement. Learn. Individ. Dif. 58, 41–45. doi: 10.1016/j.lindif.2017.07.003

Crossref Full Text | Google Scholar

Aluja-Fabregat, A., and Torrubia-Beltri, R. (1998). Viewing of mass media violence, perception of violence, personality and academic achievement. Pers. Individ. Dif. 25, 973–989. doi: 10.1016/S0191-8869(98)00122-6

Crossref Full Text | Google Scholar

Azikiwe, U. (1998). “Study approaches of university students,” in WCCI region II forum, Vol. 2, 106–114.

Google Scholar

Balkin, J. (1987). Psychological correlates of success in college. Educ. Psychol. Meas. 47, 795–798. doi: 10.1177/001316448704700333

Crossref Full Text | Google Scholar

Balkis, M. (2013). Academic procrastination, academic life satisfaction and academic achievement: The mediation role of rational beliefs about studying. J. Cogn. Behav. Psychother. 13, 57–74.

Google Scholar

Balkıs, M. (2015). The moderator role of rational beliefs in relation to procrastination, academic achievement and academic satisfaction. Ankara University J. Faculty Educ. Sci. 48, 87–108. doi: 10.1501/Egifak_0000001354

PubMed Abstract | Crossref Full Text | Google Scholar

Balkis, M., Duru, E., and Bulus, M. (2013). Analysis of the relation between academic procrastination, academic rational/irrational beliefs, time preferences to study for exams, and academic achievement: A structural model. Eur. J. Psychol. Educ. 28, 825–839. doi: 10.1007/s10212-012-0142-5

Crossref Full Text | Google Scholar

Balkis, M., Duru, S., and Duru, E. (2024). Academic procrastination and fear of failure: The role of irrational/rational academic beliefs. Psychol. Schools 61, 2376–2387. doi: 10.1002/pits.23171

Crossref Full Text | Google Scholar

Bandura, A. (1991). Social cognitive theory of self-regulation. Organ. Behav. Hum. Decision Process. 50, 248–287. doi: 10.1016/0749-5978(91)90022-L

Crossref Full Text | Google Scholar

Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educ. Psychol. 28, 117–148. doi: 10.1207/s15326985ep2802_3

Crossref Full Text | Google Scholar

Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annu. Rev. Psychol. 52, 1–26. doi: 10.1146/annurev.psych.52.1.1

PubMed Abstract | Crossref Full Text | Google Scholar

Bidjerano, T., and Dai, D. Y. (2007). The relationship between the big-five model of personality and self-regulated learning strategies. Learn. Individ. Dif. 17, 69–81. doi: 10.1016/j.lindif.2007.02.001

Crossref Full Text | Google Scholar

Byars-Winston, A., Diestelmann, J., Savoy, J. N., and Hoyt, W. T. (2017). Unique effects and moderators of effects of sources on self-efficacy: A model-based meta-analysis. J. Counseling Psychol. 64, 645–658. doi: 10.1037/cou0000219

PubMed Abstract | Crossref Full Text | Google Scholar

Callaghan, C. W., and Papageorgiou, E. (2014). The use of human resources literature regarding the relationship between affect and student academic performance. SA J. Hum. Resour. Manag. 12:11. doi: 10.4102/sajhrm.v12i1.617

Crossref Full Text | Google Scholar

Carvalho, R. G. G. (2016). Gender differences in academic achievement: The mediating role of personality. Pers. Individ. Dif. 94, 54–58. doi: 10.1016/j.paid.2016.01.011

Crossref Full Text | Google Scholar

Chamorro-Premuzic, T. (2007). The relationship between intelligence, personality, and earnings. Learn. Individ. Diff. 17, 168–181.

Google Scholar

Chamorro-Premuzic, T., and Furnham, A. (2008). Personality, intelligence and approaches to learning as predictors of academic performance. Pers. Individ. Dif. 44, 1596–1603. doi: 10.1016/j.paid.2008.01.003

Crossref Full Text | Google Scholar

Cladellas, R., Muro, A., Vargas-Guzmán, E. A., Bastardas, A., and Gomà-i-Freixanet, M. (2017). Sensation seeking and high school performance. Pers. Individ. Dif. 117, 117–121. doi: 10.1016/j.paid.2017.05.049

Crossref Full Text | Google Scholar

Cohen, M. D. (1991). Individual learning and organizational routine: Emerging connections. Organ. Sci. 2, 135–139. doi: 10.1287/orsc.2.1.135

PubMed Abstract | Crossref Full Text | Google Scholar

Colom, R., Escorial, S., Shih, P. C., and Privado, J. (2007). Fluid intelligence, memory span, and temperament difficulties predict academic performance of young adolescents. Pers. Individ. Dif. 42, 1503–1514. doi: 10.1016/j.paid.2006.10.023

Crossref Full Text | Google Scholar

Conard, M. A. (2006). Aptitude is not enough: How personality and behavior predict academic performance. J. Res. Pers. 40, 339–346. doi: 10.1016/j.jrp.2004.10.003

Crossref Full Text | Google Scholar

Coşa, L. E., and Cernat, V. (2024). Personality and specialization choice. Curr. Psychol. 43, 15602–15610. doi: 10.1007/s12144-023-05511-2

Crossref Full Text | Google Scholar

David, D. (2007). Scala de atitudini şi convingeri forma scurtã. Sistem de evaluare clinicã [clinical assessment system]. Dayton, OH: Editura RTS.

Google Scholar

De Feyter, T., Caers, R., Vigna, C., and Berings, D. (2012). Unraveling the impact of the Big Five personality traits on academic performance: The moderating and mediating effects of self-efficacy and academic motivation. Learn. Individ. Dif. 22, 439–448. doi: 10.1016/j.lindif.2012.03.013

Crossref Full Text | Google Scholar

Dryden, W., and Branch, R. (2008). The fundamentals of rational emotive behaviour therapy. Hoboken, NJ: John Wiley & Sons.

Google Scholar

Ellis, A., and Dryden, W. (1997). The practice of rational emotive behavior therapy. Berlin: Springer Publishing Company.

Google Scholar

Ellis, A., David, D., and Lynn, S. J. (2010). “Rational and irrational beliefs: A historical and conceptual perspective,” in Rational and Irrational Beliefs: Research, Theory, and Clinical Practice, eds D. David, S. J. Lynn, and A. Ellis (Oxford: Oxford University Press), 3–22.

Google Scholar

Farsides, T., and Woodfield, R. (2003). Individual differences and undergraduate academic success: The roles of personality, intelligence, and application. Pers. Individ. Dif. 34, 1225–1243. doi: 10.1016/S0191-8869(02)00111-3

Crossref Full Text | Google Scholar

Furnham, A., Nuygards, S., and Chamorro-Premuzic, T. (2013). Personality, assessment methods and academic performance. Instr. Sci. 41, 975–987. doi: 10.1007/s11251-012-9259-9

Crossref Full Text | Google Scholar

Gomá-i-Freixanet, M. (2001). Prosocial and antisocial aspects of personality in women: A replication study. Pers. Individ. Diff. 30, 1401–1411. doi: 10.1016/S0191-8869(00)00121-5

Crossref Full Text | Google Scholar

Heggestad, E. D., and Kanfer, R. (2005). The predictive validity of self-efficacy in training performance: little more than past performance. J. Exp. Psychol. Appl. 11, 84–97. doi: 10.1037/1076-898X.11.2.84

PubMed Abstract | Crossref Full Text | Google Scholar

Honicke, T., and Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educ. Res. Rev. 17, 63–84. doi: 10.1016/j.edurev.2015.11.002

Crossref Full Text | Google Scholar

Huang, C. (2013). Gender differences in academic self-efficacy: A meta-analysis. Eur. J. Psychol. Educ. 28, 1–35. doi: 10.1007/s10212-011-0097-y

Crossref Full Text | Google Scholar

Hübner, N., Spengler, M., Nagengast, B., Borghans, L., Schils, T., and Trautwein, U. (2022). When academic achievement (also) reflects personality: Using the personality-achievement saturation hypothesis (PASH) to explain differential associations between achievement measures and personality traits. J. Educ. Psychol. 114, 326–345. doi: 10.1037/edu0000571

Crossref Full Text | Google Scholar

Joireman, J. (2004). “The Zuckerman-Kuhlman Personality Questionnaire: Origin, development, and validity of a measure to assess an alternative five-factor model of personality,” On the psychobiology of personality: Essays in honor of Marvin Zuckerman, ed. R. M. Stelmack (Elsevier Science), 49–64.

Google Scholar

Judge, T. A., Jackson, C. L., Shaw, J. C., Scott, B. A., and Rich, B. L. (2007). Self-efficacy and work-related performance: The integral role of individual differences. J. Appl. Psychol. 92, 107–127. doi: 10.1037/0021-9010.92.1.107

PubMed Abstract | Crossref Full Text | Google Scholar

Kaufman, J. C., Pumaccahua, T. T., and Holt, R. E. (2013). Personality and creativity in realistic, investigative, artistic, social, and enterprising college majors. Pers. Individ. Dif. 54, 913–917. doi: 10.1016/j.paid.2013.01.013

Crossref Full Text | Google Scholar

Kokkinos, C. M., Kargiotidis, A., and Markos, A. (2015). The relationship between learning and study strategies and big five personality traits among junior university student teachers. Learn. Individ. Dif. 43, 394–397. doi: 10.1016/j.lindif.2015.08.031

Crossref Full Text | Google Scholar

Komarraju, M., Karau, S. J., and Schmeck, R. R. (2009). Role of the Big Five personality traits in predicting college students’ academic motivation and achievement. Learn. Individ. Dif. 19, 47–52. doi: 10.1016/j.lindif.2008.07.001

Crossref Full Text | Google Scholar

Kuncel, N. R., Hezlett, S. A., and Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: Can one construct predict them all? J. Pers. Soc. Psychol. 86, 148–161. doi: 10.1037/0022-3514.86.1.148

PubMed Abstract | Crossref Full Text | Google Scholar

Lounsbury, J. W., Sundstrom, E., Loveland, J. L., and Gibson, L. W. (2003). Broad versus narrow personality traits in predicting academic performance of adolescents. Learn. Individ. Dif. 14, 65–75. doi: 10.1016/j.lindif.2003.08.001

Crossref Full Text | Google Scholar

Loveland, J. M., Lounsbury, J. W., Welsh, D., and Buboltz, W. C. (2007). The validity of physical aggression in predicting adolescent academic performance. Br. J. Educ. Psychol. 77, 167–176. doi: 10.1348/000709905X79563

PubMed Abstract | Crossref Full Text | Google Scholar

Mammadov, S. (2022). Big Five personality traits and academic performance: A meta-analysis. J. Pers. 90, 222–255. doi: 10.1111/jopy.12663

PubMed Abstract | Crossref Full Text | Google Scholar

Munteanu, A. (2024). School choice, student sorting, and academic performance. The review of economics and statistics. Cambridge, MA: MIT Press, 1–45. doi: 10.1162/rest_a_01438

Crossref Full Text | Google Scholar

O’Connor, M. C., and Paunonen, S. V. (2007). Big five personality predictors of post-secondary academic performance. Pers. Individ. Dif. 43, 971–990. doi: 10.1016/j.paid.2007.03.017

Crossref Full Text | Google Scholar

Opre, A., and Albu, M. (2010). “Psychometric properties of the Romanian version of the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ): Preliminary data,” in Annals of the “Gh. Bari tiu” Institute of History in Cluj-Napoca, Humanistic Series 8, (Cluj-Napoca: Romanian Academy), 85–100.

Google Scholar

Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychol. Bull. 135, 322–338. doi: 10.1037/a0014996

PubMed Abstract | Crossref Full Text | Google Scholar

Poropat, A. E. (2011). The Eysenckian personality factors and their correlations with academic performance. Br. J. Educ. Psychol. 81, 41–58. doi: 10.1348/000709910X497671

PubMed Abstract | Crossref Full Text | Google Scholar

Poropat, A. E. (2014). Other-rated personality and academic performance: Evidence and implications. Learn. Individ. Dif. 34, 24–32. doi: 10.1016/j.lindif.2014.05.013

Crossref Full Text | Google Scholar

Rani Bhattacharjee, R., and Ramkumar, A. (2015). Effect of big five personality dimensions on the academic performance of university students. Front. Psychol. 16:1490427. doi: 10.3389/fpsyg.2025.1490427

PubMed Abstract | Crossref Full Text | Google Scholar

Richardson, M., Abraham, C., and Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychol. Bull. 138, 353–387. doi: 10.1037/a0026838

PubMed Abstract | Crossref Full Text | Google Scholar

Sapp, M. (1996). Irrational beliefs that can lead to academic failure for African American middle school students who are academically at-risk. J. Rational Emotive Cogn. Behav. Therapy 14, 123–134. doi: 10.1007/BF02238186

Crossref Full Text | Google Scholar

Sârbescu, P., and Neguţ, A. (2013). Psychometric properties of the Romanian version of the Zuckerman-Kuhlman personality questionnaire. Eur. J. Psychol. Assess. 29, 241–252. doi: 10.1027/1015-5759/a000152

Crossref Full Text | Google Scholar

Schwarzer, R., and Jerusalem, M. (1995). “Generalized self-efficacy scale,” in Measures in health psychology: A user’s portfolio. Causal and control beliefs, eds J. Weinman, S. Wright, and M. Johnston (Berkshire: NFER-NELSON), 353–357.

Google Scholar

Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., and Sergent, K. (2018). Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: A meta-analytic path-analysis. Pers. Individ. Dif. 120, 238–245. doi: 10.1016/j.paid.2017.08.014

Crossref Full Text | Google Scholar

Stelmack, R. M. (2004). On the psychobiology of personality: Essays in honor of Marvin Zuckerman. Amsterdam: Elsevier.

Google Scholar

Talsma, K., Schüz, B., Schwarzer, R., and Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learn. Individ. Dif. 61, 136–150. doi: 10.1016/j.lindif.2017.11.015

Crossref Full Text | Google Scholar

Vasiliu, D., Marinescu, D. A., and Marinescu, G. (2015). Evaluarea Autoeficacitã tii. Proprietã ti psihometrice pentru self efficacity scales: SES [evaluation of self-efficacy. Romanian psychometric properties for self-efficacy scales: SES]. Rev. Studii Psihol. 2, 210–222.

Google Scholar

Vedel, A. (2016). Big five personality group differences across academic majors: A systematic review. Pers. Individ. Dif. 92, 1–10. doi: 10.1016/j.paid.2015.12.011

Crossref Full Text | Google Scholar

Verbree, A. R., Hornstra, L., Maas, L., and Wijngaards-de Meij, L. (2023). Conscientiousness as a predictor of the gender gap in academic achievement. Res. High. Educ. 64, 451–472. doi: 10.1007/s11162-022-09716-5

PubMed Abstract | Crossref Full Text | Google Scholar

Wen, X., Zhao, Y., Yang, Y. T., Wang, S., and Cao, X. (2021). Do students with different majors have different personality traits? Evidence from two Chinese agricultural universities. Front. Psychol. 12:641333. doi: 10.3389/fpsyg.2021.641333

PubMed Abstract | Crossref Full Text | Google Scholar

Wismeijer, A. A. J.Gomà-i-Freixanet, M. (2012). Lifeguards and physically risky prosocial groups: A comparison based on personality theory. Int. J. Selection Assess. 20, 251–256. doi: 10.1111/j.1468-2389.2012.00597

Crossref Full Text | Google Scholar

Zuckerman, M. (2008). “Zuckerman-kuhlman personality questionnaire (ZKPQ): An operational definition of the alternative five factorial model of personality,” in The SAGE handbook of personality theory and assessment Vol. 2. Personality measurement and testing, eds G. J. Boyle, G. Matthews, and D. H. Saklofske (Thousand Oaks, CA: Sage Publications, Inc), 219–238. doi: 10.4135/9781849200479.n11

Crossref Full Text | Google Scholar

Zuckerman, M., Kuhlman, D. M., Joireman, J., Teta, P., and Kraft, M. (1993). A comparison of three structural models for personality: The big three, the big five, and the alternative five. J. Pers. Soc. Psychol. 65, 757–768. doi: 10.1037/0022-3514.65.4.757

Crossref Full Text | Google Scholar

Keywords: academic performance, self-efficacy, rational beliefs, aggressiveness, impulsive sensation-seeking

Citation: Coşa LE and Cernat V (2025) Exploring the predictors of academic performance: the role of personality, rational beliefs, and self-efficacy. Front. Psychol. 16:1650271. doi: 10.3389/fpsyg.2025.1650271

Received: 19 June 2025; Accepted: 16 July 2025;
Published: 01 August 2025.

Edited by:

Isabel Mercader Rubio, University of Almería, Spain

Reviewed by:

Ivana Zubic, Union Nikola Tesla University, Serbia
Namra Shahzadi, University of Gujrat, Pakistan

Copyright © 2025 Coşa and Cernat. 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: Lucica Emilia Coşa, bHVjaWNhLmNvc2FAdW1mc3Qucm8=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.