This study aims to identify, through qualitative research, the influence of COVID-19 on student online exam cheating, specifically e-cheating, during the COVID-19 quarantine in Bangladesh university online classes in 2020. The researcher obtained the primary data from 23 undergraduate university students (13 males and ten females) who willingly responded to a semi-structured interview via Messenger Interview. Using grounded theory analysis, the author found that quarantine during the COVID-19 pandemic has caused and increased levels of anxiety and stress among students, which, in turn, has promoted e-cheating. The stress and anxiety allow students to justify their unethical behavior in online classes and cheating on online exams. The study results also show several factors that have contributed to online exam cheating. These factors include social pressure, peer pressure, academic pressure, not using software programs that monitor e-cheating, finding it easy to cheat, willingness to get grade point averages, and worries about jobs. Besides, this study also develops a conceptual framework for the COVID-19 e-cheating model that explains how COVID-19, stress, and anxiety predict the frequency of dishonest behaviors among students, specifically cheating during online exams, and can be used for further qualitative research studies. Finally, the study results can be used as guidelines for faculty members when considering assignments, homework, exams, and how to monitor online exams.

No abstract

This study aims to quantitatively test the newly developed theoretical framework model for the relationship between COVID-19, stress, anxiety, and university students' online exam cheating in the United States of America during COVID-19. The newly developed model primarily explains how COVID-19 quarantine influences university students' levels of anxiety and stress, and therefore, influences the frequency of online exam cheating behavior among college students. The researcher collected primary data of 251 male and female university students in the United States of America via Survey Monkey and tested the six hypotheses using the structural modeling equation technique. The study results confirm that COVID-19 quarantine has a significant relationship with stress and anxiety. The relationship between COVID-19 quarantine and stress is more significant than the relationship between COVID-19 quarantine and anxiety. The results also validate the significant and positive relationship between COVID-19 quarantine and stress and COVID-19 quarantine and anxiety. COVID-19 quarantine causes more anxiety than stress among university students, influencing students' behavior to cheat more on online exams. Theoretically, this study Translates a qualitative research question from a prior study that developed the COVID-19 theoretical framework into an accurate prediction of anticipated outcomes. This study also develops a conceptual framework for the relationship between COVID-19, anxiety, stress, and online exam cheating. Besides, this study refined six hypotheses from previously generated propositions. Finally, the study results could be used as general guidelines for university educators and administrators when thinking and deciding on exams, assignments, and how to monitor online exams.

Abstract—This research study empirically examines the relationship between oppression and corruption levels at the country level among one-hundred-fifty-three countries (153). The authors used Ibn Khaldun Theory of Education to develop the discussion and support the hypothesis. To test the study hypothesis, the study utilized secondary data from Freedom Human Index (2020), co-published by the Cato and the Fraser Institutes, and Corruption Perception Index (2020) developed by Transparency International. The authors in the study applied weighted least squares regression analysis, and the study results show a positive and significant relationship between oppression and corruption among countries. This study contributes to the literature by empirically identifying and validating a new factor influencing many countries' corruption. The results could also help policymakers understand the roots of corruption and reconsider new policies that eradicate corruption from its starting sources. The authors also discuss future research, the study limitations, and the study implications.

No abstract