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3Increasing mental health issues, such as emotional problems, pose a threat for the academic performance of undergraduate students. We propose a route connecting emotional problems and academic performance through executive functioning skills (EFS). Despite the abundance of research on the topic of EFS, there is a significant gap in understanding this route, specifically among a population of undergraduate students. The aim of this study was to examine whether EFS mediated the association between emotional problems and academic performance among undergraduate students. Cross-sectional data (n = 2,531) was used from a survey among Dutch undergraduate students from a large variety of faculties at a university of applied sciences. We assessed emotional problems using the Depression Anxiety Stress Scale-21, five EFS (cognitive inhibition, task initiation, sustained attention, planning, time management), and academic performance (study delay; yes/no). Mediation analyses were performed, using the Hayes PROCESS macro, adjusted for gender. We found that cognitive inhibition, task initiation, sustained attention, planning, and time management mediated the association between emotional problems and academic performance. Regarding separate EFS, no large differences were found. The data suggests that improving all EFS in undergraduates experiencing emotional problems could be a fruitful strategy for preventing academic delays.
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The four studies presented in this dissertation aimed to examine which aspects of self-regulated learning (think of planning, time management, and motivation) best predict academic performance in higher education, and whether and how self-regulated learning might be improved for better academic performance.
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One in three university students experiences mental health problems during their study. A similar percentage leaves higher education without obtaining the degree for which they enrolled. Research suggests that both mental health problems and academic underperformance could be caused by students lacking control and purpose while they are adjusting to tertiary education. Currently, universities are not designed to cater to all the personal needs and mental health problems of large numbers of students at the start of their studies. Within the literature aimed at preventing mental health problems among students (e.g., anxiety or depression), digital forms of therapy recently have been suggested as potentially scalable solutions to address these problems. Integrative psychological artificial intelligence (AI) in the form of a chatbot, for example, shows great potential as an evidence-based solution. At the same time, within the literature aimed at improving academic performance, the online life-crafting intervention in which students write about values and passions, goals, and goal-attainment plans has shown to improve the academic performance and retention rates of students. Because the life-crafting intervention is delivered through the curriculum and doesn’t bear the stigma that is associated with therapy, it can reach larger populations of students. But life-crafting lacks the means for follow-up or the interactiveness that online AI-guided therapy can offer. In this narrative review, we propose to integrate the current literature on chatbot interventions aimed at the mental health of students with research about a life-crafting intervention that uses an inclusive curriculum-wide approach. When a chatbot asks students to prioritize both academic as well as social and health-related goals and provides personalized follow-up coaching, this can prevent -often interrelated- academic and mental health problems. Right on-time delivery, and personalized follow-up questions enhance the effects of both -originally separated- intervention types. Research on this new combination of interventions should use design principles that increase user-friendliness and monitor the technology acceptance of its participants.
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This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
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A reflective goal-setting intervention could help students adjust to higher education, and improve their performance and well-being, as has been shown by small-scale and quasi-experimental studies conducted so far. However, a large experimental study found no effects, highlighting the importance of replication, and a better understanding of the mechanisms that explain when and why the intervention works. This replication study tested the effects of such a goal-setting intervention on the academic performance of 1,134 first-year business and teacher education students, with a randomized control trial. The treatment group earned significantly more course credits, and had a 15% lower risk of dropping out of college, compared to the control group. Contrary to the findings of previous studies, this study found no evidence that these effects are larger for men, or ethnic minorities. Additionally, we found no effect of the intervention on self-regulated learning, resilience, grit, engagement, or well-being.
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Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic self-concept, and perceived level of understanding are conceptually and empirically distinct self-appraisals of academic competence which have a different impact on student motivation, learning, and academic performance. Furthermore, the current study suggests that students reflecting high scores on the four measures of self-perceived competence, are more persistent, more likely to adopt mastery and/or performance approach goals, less anxious, process the learning material at a deeper level, and achieve better study results. However, this study also warns that high self-perceived competence (e.g., perceived level of understanding), if not accompanied by a mastery goal orientation, can turn into overconfidence resulting in lower persistence levels and poorer study results.
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A reflective goal-setting intervention could help students adjust to higher education, and improve their performance and well-being, as has been shown by small-scale and quasi-experimental studies conducted so far. However, a large experimental study found no effects, highlighting the importance of replication, and a better understanding of the mechanisms that explain when and why the intervention works. This replication study tested the effects of such a goal-setting intervention on the academic performance of 1,134 first-year business and teacher education students, with a randomized control trial. The treatment group earned significantly more course credits, and had a 15% lower risk of dropping out of college, compared to the control group. Contrary to the findings of previous studies, this study found no evidence that these effects are larger for men, or ethnic minorities. Additionally, we found no effect of the intervention on self-regulated learning, resilience, grit, engagement, or well-being.
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The indoor air quality (IAQ) in classrooms in higher education can influence in-class activities positively. In this context, the actual IAQ and students' perceived IAQ (PIAQ), perceived cognitive performance (PCP), and short-term academic performance (SAP) were examined in two identical classrooms during regular academic courses. During the lecture, key performance indicators (KPI) for the IAQ, i.e. carbon dioxide concentration, particulate matter 2.5, and total volatile organic compounds, were measured. After the lecture, responses of 163 students were collected with a validated self-composed questionnaire and a cognitive test, which covered topics discussed during the lecture. A significant association between the IAQ KPI and the PIAQ was found (p < .000). The PIAQ significantly predicted the PCP (p < .05) and the PCP significantly predicted the SAP score (p < .01). These results indicate that the IAQ in classrooms is associated with the PIAQ and PCP, and therefore is associated with students' SAP.
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Introduction: The social distancing restrictions due to the COVID-19 pandemic have changed students’ learning environment and limited their social interactions. Therefore, the objective of this study was to investigate the influence of the social distancing restrictions on students’ social networks, wellbeing, and academic performance. Methods: We performed a questionnaire study in which 102 students participated before and 167 students during the pandemic. They completed an online questionnaire about how they formed their five peer social networks (study-related support, collaboration, friendship, share information, and learn-from) out-of-class. We performed social network analysis to compare the sizes, structures, and compositions of students’ five social networks before and during the pandemic, between first- and second-year students, and between international and domestic students. Additionally, we performed Kruskal–Wallis H test to compare students’ academic performance before and during the pandemic. We performed thematic analysis to answers for two open-end questions in the online questionnaire to explore what difficulties students encountered during the COVID-19 pandemic and what support they needed. Results: The results showed that the size of students’ social networks during the pandemic was significantly smaller than before the pandemic. Besides, the formation of social networks differed between first- and second-year students, and between domestic and international students. However, academic performance did not decline during the COVID-19 pandemic. Furthermore, we identified three key areas in which students experienced difficulties and needed support by thematic analysis: social connections and interactions, learning and studying, and physical and mental wellbeing. Conclusion: When institutions implement learning with social distancing, such as online learning, they need to consider changes in students’ social networks and provide appropriate support.
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