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Abstract This research explores the impact of the unforeseen global crisis on education and assessment practices, investigating plagiarism rates through a comprehensive analysis of 25,864 written assignments from 42 academic institutions in 2019, 2020, and 2023 before, during, and after crises, such as pandemics. Utilising the theory of planned behaviour comparing undergraduate plagiarism rates before, during, and after the COVID-19 pandemic using an automated plagiarism detection tool (Originality). The comparison traverses academic fields, disciplines, institutional rankings, and written language assessments. Contextualising this phenomenon is crucial for a comprehensive understanding and targeted interventions against undesirable behaviour. The results show that before and after COVID-19, plagiarism rates were similar, while during COVID-19, plagiarism rates augmented. Furthermore, assignments written in English contained higher plagiarism rates than those in Arabic and Hebrew. We discuss post-pandemic plagiarism rates bounce-back in higher education on the one hand and concern about artificial intelligence writing tools on the other hand. We also discuss plagiarism among multilingual students. The study concludes with practical implications and suggestions for future research in the evolving landscape of academic integrity.

Abstract Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics anxiety and academic dishonesty moderated by risk aversion. Data were collected from 791 undergraduate students in six Israeli academic institutions studying for bachelor’s degrees in social sciences. Questionnaires included the following measures: risk behaviour according to the prospect theory framework, Mindful Attention Awareness Scale, Statistics Anxiety Rating Scale, Academic Misconduct Scale and sociodemographic variables. Correlations among these variables were explored. The data was analysed using Structural Equation Modelling (SEM). The results indicate that the variance in academic dishonesty is explained by students' statistics anxiety with a mediation of Mindfulness moderated by Risk Aversion. Mindfulness negatively affects Academic Dishonesty, while Risk Aversion has a significant positive effect on Mindfulness. Finally, among individuals with high statistics anxiety, Risk Averse individuals show significantly higher Mindfulness than Risk Seekers. We conclude that mindfulness-based interventions might be a constructive tool to reduce risk-taking and promote ethical decision-making among individuals who experience high levels of statistics anxiety. Furthermore, developing mindful skills may help individuals with higher anxiety levels neutralize these unwanted feelings and get along with their learning tasks. Hence, avoid academic unethical behaviours.

Academic misconduct is ubiquitous, a fortiori during crisis periods. The present research examines undergraduates’ learning motivation, based on Self-Determination Theory and personality traits factors, according to the Big Five Factor Model, affecting academic misconduct across different time spans: Before, during, and after a life-changing event. Using online questionnaires, we measured the level of academic misconduct, learning motivation, and personality traits of 1090 social sciences students during five different time spans pre-COVID-19, during COVID-19 (before and after vaccination), and after COVID-19 (post and long post). The results showed significant differences in students’ self-reported academic misconduct levels among the different periods and similar misconduct levels in pre-COVID-19 and long post-COVID-19. Additionally, the findings exhibited that external motivation significantly increases academic misconduct and that two out of five personality traits (agreeableness and emotional stability) reduce their occurrences. We conclude that higher education preparedness for academic integrity during an emergency is still a desideratum and that ethical concerns should not be abandoned but rather be fully addressed during emergency periods. This could be addressed by instructors allocating tasks during emergency groups involving students with pro-social personalities (agreeableness and emotional stability) and intrinsic motivation to serve as social agents in deterring academic misconduct.

Abstract This study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -F2F, Planned Online Environment – POE, and Emergency Remote Teaching – ERT). Self-determination theory (SDT) provides a broad psychological framework for these phenomena. Data were collected from 649 bachelor-degree students in the Social Sciences in five Israeli academic institutions. Structural equation modelling was employed to investigate the research variables’ relationships. Findings indicate that statistics anxiety mediates the relationship between personality traits and academic dishonesty in the POE and the ERT learning environments. Findings also indicate the relationship between students’ achievements and academic dishonesty, but only in the ERT learning environment. In contrast, motivation mediates the relationship between students’ achievements and statistics anxiety only in the POE learning environment. This study unveils that learning environments determine the mediating role of statistical anxiety. In digital learning environments (POE, ERT), mediation has been found between students’ personality traits and academic dishonesty. No similar parallel mediation could be established in the physical learning environment, F2F. Thus, we conclude that online courses should be designed according to student-centred approaches.

This study analyzed how students' personality traits and course attendance preferences impact academic integrity in the HyFlex learning environment. 535 undergraduate students were given a choice among courses face-to-face (F2F), online, or a hybrid combination of both. The Big Five Inventory and the Academic Integrity Inventory were administered through online questionnaires to STEM students. The findings show that emotional stability and agreeableness positively relate to academic integrity irrespective of attendance mode. So do conscientiousness and agreeableness in the hybrid environment. Conversely, the primarily F2F attendance mode and the personality trait of extraversion are tied to markedly low levels of academic integrity. We conclude that unveiling students' personality traits associated with ethical behaviour would be beneficial when designing HyFlex courses in different learning environments, whether human (F2F), machine-made (online) or a combination of both (hybrid). This, in turn, contributes to better higher quality education and enhances academic integrity.

The current research focuses on the nature of the relationship comprising personality traits, creative thinking, and academic integrity. Scholars have confirmed that personality traits and creative thinking correlate positively with academic integrity. However, a discussion of academic integrity, personality traits, and creative thinking is missing in the scholarly literature. This study used a questionnaire survey based on the Big Five Factor to identify personality characteristics, the Academic Integrity Inventory, and the Torrance Tests of Creative Thinking. The sample included 976 students studying in four academic colleges in Israel, of which two are teacher training colleges and two colleges awarding a degree in education. The findings show that most of the students (71%) reported they had cheated at some point during their academic studies, and only one-fifth (21%) thought that they would condemn their peers’ lack of integrity. Creative thinking students and emotionally stable persons tend to be more ethical. Hence, we conclude that it is recommended to deliver creative thinking courses in the teacher’s educational training programs to improve creative thinking levels, reduce academic dishonesty, and create more effective curricula.

The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different disciplines and according to higher education institutional ranking. We analysed 7976 assignments submitted between 2019 and 2020 in 39 Israeli academic institutions. The results indicated that the transition to ERT is associated with decreased academic integrity, especially in humanities. Similarly, the shift to ERT particularly affected college students and students studying in medium- and low-ranked institutions. We conclude that an institutional- and discipline-based approach is required to combat academic misconduct in ERT settings. Automating plagiarism detection software may also help students self-check their written assessments; this may be an essential first step toward enhancing academic integrity.