Online cheating amid COVID-19

Student and teacher performance during COVID-19 lockdown: An investigation of associated features and complex interactions using multiple data sources

Due to the COVID-19 pandemic, testing what is required to support teachers and students while subject to forced online teaching and learning is relevant in terms of similar situations in the future. To understand the complex relationships of numerous factors with teaching during the lockdown, we used administrative data and survey data from a large Danish university. The analysis employed scores from student evaluations of teaching and the students' final grades during the first wave of the COVID-19 lockdown in the spring of 2020 as dependent targets in a linear regression model and a random forest model. This led to the identification of linear and non-linear relationships, as well as feature importance and interactions for the two targets. In particular, we found that many factors, such as the age of teachers and their time use, were associated with the scores in student evaluations of teaching and student grades, and that other features, including peer interaction among teachers and student gender, also exerted influence, especially on grades. Finally, we found that for non-linear features, in terms of the age of teachers and students, the average values led to the highest response values for scores in student evaluations of teaching and grades.

Dynamically Changing Mental Stress Parameters of First-Year Medical Students over the Three-Year Course of the COVID-19 Pandemic: A Repeated Cross-Sectional Study

Numerous research results have already pointed towards the negative influence of increased mental stress on educational processes and motivational criteria. It has also been shown that the global public health crisis induced by COVID-19 was related to anxiety symptoms and elevated levels of distress. To holistically elucidate the dynamics of the pandemic-related mental stress of first-year medical students, the associated parameters of three different cohorts were measured at the beginning of the pandemic-related restrictions on university life in Germany (20/21), at the peak of the COVID-19-related restrictions (21/22) and during the easing of the restrictions in the winter term 22/23. In a repeated cross-sectional study design, the constructs of worries, tension, demands and joy were collected from first-year medical students (n = 578) using the Perceived Stress Questionnaire. The results demonstrate significantly increased values of the constructs worries (p < 0.001), tension (p < 0.001) and demands (p < 0.001) at the peak of the pandemic related restrictions compared to the previous and following year as well as significantly decreasing values of general joy of life during the observed period of 3 years (all p-values < 0.001). A confirmatory factor analysis was performed to verify the questionnaire's factor structure regarding the addressed target group during the pandemic (CFI: 0.908, RMSEA: 0.071, SRMR: 0.052). These data, collected over a period of three years, provide information regarding dynamically manifesting mental stress during the COVID-19 pandemic, and refer to new areas of responsibility for the faculties to adequately counteract future crisis situations.

Entwicklung und Überprüfung einer Kurzskala zur Messung akademischen Betrugsverhaltens im Selbstbericht

Zusammenfassung: Akademisches Betrugsverhalten ist ein bedeutsames Phänomen, zu dessen Prävalenz und Randbedingungen im Hochschulsektor deutliche Forschungslücken bestehen, insbesondere aufgrund Ermangelung valider und ökonomischer Selbstberichtsmaße. Die vorliegende Kurzskala zur Erfassung akademischen Betrugsverhaltens soll unter Bedingung hoher Testökonomie eine verhaltensbezogene Erfassung von akademischen Betrugsverhalten im Selbstbericht ermöglichen. Die Itemgenese orientierte sich an umfassenden englischsprachigen Verhaltensinventaren. Insgesamt werden mit jeweils einem Item die zentralen Komponenten „Nutzung unerlaubter Hilfsmittel und Hilfestellungen“, „Plagiarismus“ und „Täuschung zur eigenen Vorteilnahme“ erfasst. Analysen zur Testgüte des 3-Item-Maßes in einer Stichprobe von N = 1 994 Studierenden zeigen eine akzeptable interne Konsistenz und ein deutliches Muster konvergenter Validität (Assoziationen mit umfassenderen Verhaltensinventaren und der Persönlichkeitseigenschaft Ehrlichkeit / Bescheidenheit). Konfirmatorische Faktoranalysen verdeutlichen, dass sich die Skala für die latente Modellierung des Konstruktes eignet und sie messinvariant für verschiedene Fachgruppen sowie Geschlechter ist. In der Summe bietet die vorgestellte Kurzskala eine verhaltensbezogene, ökonomische und reliable Messung akademischen Betrugsverhaltens.

Strategies for Enhancing Assessment Information Integrity in Mobile Learning

Mobile learning is a global trend, which has become more widespread in the post-COVID-19 pandemic era. However, with the adoption of mobile learning comes new assessment approaches to evaluate the understanding of the acquired information and knowledge. Nevertheless, there is scant knowledge of how to enhance assessment information integrity in mobile learning assessments. Due to the importance of assessments in evaluating knowledge, integrity is the sine qua non of online assessments. This research focuses on the strategies universities could use to improve assessment information integrity. This research adopts a qualitative design, employing interviews with academics as well as teaching and learning support staff for data collection. The findings reveal five strategies that academics and support staff recommend to enhance assessment information integrity in mobile learning. The theoretical and practical implications are discussed, as well as future research directions.

Analyzing the impact of COVID-19 on the grades of university education: A case study with economics students

COVID-19 has been one of the major incidents in the global university education system in recent years. Its influence and effects on education are still difficult to determine today. Both students and teachers have had to change their study and work routines and disciplines, in many cases lacking the necessary infrastructure to adapt to online learning. Students had to start a new academic year with a complete return to face-to-face teaching without having overcome, in many cases, the incidence of online learning. This study, through 167 responses to a survey addressed to economics students at the Universidad Politécnica de Madrid, aims to analyse the causes of an improvement or a worsening of the academic performance of university students in the return to normality after having gone through COVID-19's restrictions. The results obtained show that students, students who attend tutorials and those who have evaluated online teaching positively, are the ones who have most improved their performance in the return to face-to-face teaching. And those who have suffered the physical and psychological consequences of COVID and those with less infrastructure and income have worsened their results.

What's hot and what's not in lay psychology: Wikipedia's most-viewed articles

We studied views of articles about psychology on 10 language editions of Wikipedia from July 1, 2015, to January 6, 2021. We were most interested in what psychology topics Wikipedia users wanted to read, and how the frequency of views changed during the COVID-19 pandemic and lockdowns. Our results show that the topics of interest to people seeking psychological knowledge changed during the pandemic. In addition, the interests differ noticeably among the languages. We made two important observations. The first was that during the pandemic, people in most countries looked for new ways to manage their stress without resorting to external help. This is understandable, given the increased stress of lockdown and the limited amount of professional help available. We also found that academic topics, typically covered in university classes, experienced a substantial drop in traffic, which could be indicative of issues with remote teaching.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03826-0.

Watcher: Cloud-Based Coding Activity Tracker for Fair Evaluation of Programming Assignments

Online learning has made it possible to attend programming classes regardless of the constraint that all students should be gathered in a classroom. However, it has also made it easier for students to cheat on assignments. Therefore, we need a system to deal with cheating on assignments. This study presents a Watcher system, an automated cloud-based software platform for impartial and convenient online programming hands-on education. The primary features of Watcher are as follows. First, Watcher offers a web-based integrated development environment (Web-IDE) that allows students to start programming immediately without the need for additional installation and configuration. Second, Watcher collects and monitors the coding activity of students automatically in real-time. As Watcher provides the history of the coding activity to instructors in log files, the instructors can investigate suspicious coding activities such as plagiarism, even for a short source code. Third, Watcher provides facilities to remotely manage and evaluate students' hands-on programming assignments. We evaluated Watcher in a Unix system programming class for 96 students. The results showed that Watcher improves the quality of the coding experience for students through Web-IDE, and it offers instructors valuable data that can be used to analyze the various coding activities of individual students.

The relationship between just world belief and wellbeing, cheating behaviors, and academic work behaviors during COVID 19 among university students

Is the belief in a just world among students also stable under COVID-19? To answer this question, a study was conducted with university students from Germany (n = 291). The aim of the study was to analyze the predictive performance of the personal belief in a just world (PBJW) on students' life satisfaction and academic cheating and to take into account important mediators from the university context such as fellow student justice, lecturer justice, and procrastination. Derived from existing research, university students with a stronger PBJW should be more satisfied with their lives and cheat less than those with a weaker PBJW. The results support the hypothesized direct effects of PBJW on life satisfaction. Procrastination additionally mediated the effect of PBJW on life satisfaction. The level of PBJW predicted academic cheating only indirectly. The mediators procrastination and lecturer justice were crucial here. The results persisted when gender, learning, time to exam, socially desirable responding, general BJW, and self-efficacy were controlled. The findings were discussed in relation to the stressful situation caused by COVID-19. A reflection on the adaptive function of PBJW as a resource and relevant situation-specific mediators for university research and practice followed.

A systematic review of research on cheating in online exams from 2010 to 2021

In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning, there is no such review study to provide comprehensive insight into cheating motivations, cheating types, cheating detection, and cheating prevention in the online setting. The current study is a review of 58 publications about online cheating, published from January 2010 to February 2021. We present the categorization of the research and show topic trends in the field of online exam cheating. The study can be a valuable reference for educators and researchers working in the field of online learning to obtain a comprehensive view of cheating mitigation, detection, and prevention.

Webcams and Social Interaction During Online Classes: Identity Work, Presentation of Self, and Well-Being

The well-being of children and young people has been affected by the COVID-19 pandemic. The shift to online education disrupted daily rhythms, transformed learning opportunities, and redefined social connections with peers and teachers. We here present a qualitative content analysis of responses to open-ended questions in a large-scale survey of teachers and students in Romania. We explore how their well-being has been impacted by online education through (1) overflow effects of the sudden move to online classes; (2) identity work at the individual and group levels; and (3) Students' and teachers' presentations of self in the online environment, with a focus on problematic aspects of webcam use. The results indicate that both students and teachers experienced ambivalence and diverse changes in well-being, generated by the flexibility, burdens, and disruptions of school-from-home. The identities associated with the roles of teacher and student have been challenged and opened for re-negotiation. Novel patterns have emerged in teachers' and Students' identity work. Failure or success at the presentation of self in online situations is relevant for the emotional valence of learning encounters, impacting well-being. Online classes have brought about new ways to control one's presentation of self while also eliminating previous tactics and resources. The controversy regarding webcams has captured this duality: for some, the home remained a backstage that could not be safely exposed; for others, the home became a convenient front stage for school. Well-being was affected by the success of individual and collective performances, and by student-teacher asymmetries. Overall, our study of online learning indicates powerful yet variable influences on subjective well-being, which are related to overflow effects, identity work, and presentation of self.

E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education

Recently, the COVID-19 pandemic has triggered different behaviors in education, especially during the lockdown, to contain the virus outbreak in the world. As a result, educational institutions worldwide are currently using online learning platforms to maintain their education presence. This research paper introduces and examines a dataset, E-LearningDJUST, that represents a sample of the student’s study progress during the pandemic at Jordan University of Science and Technology (JUST). The dataset depicts a sample of the university’s students as it includes 9,246 students from 11 faculties taking four courses in spring 2020, summer 2020, and fall 2021 semesters. To the best of our knowledge, it is the first collected dataset that reflects the students’ study progress within a Jordanian institute using e-learning system records. One of this work’s key findings is observing a high correlation between e-learning events and the final grades out of 100. Thus, the E-LearningDJUST dataset has been experimented with two robust machine learning models (Random Forest and XGBoost) and one simple deep learning model (Feed Forward Neural Network) to predict students’ performances. Using RMSE as the primary evaluation criteria, the RMSE values range between 7 and 17. Among the other main findings, the application of feature selection with the random forest leads to better prediction results for all courses as the RMSE difference ranges between (0–0.20). Finally, a comparison study examined students’ grades before and after the Coronavirus pandemic to understand how it impacted their grades. A high success rate has been observed during the pandemic compared to what it was before, and this is expected because the exams were online. However, the proportion of students with high marks remained similar to that of pre-pandemic courses.

Online assessment in a business department during COVID-19: Challenges and practices

The sudden transition to online assessment due to COVID-19 brought unique challenges for both students and instructors. Indeed, the educational institutions were unprepared or did not have the capacity to deliver the courses online. The scarcity of literature addressing the challenges of the in-person to online migration was the main motivation for writing this paper. We first discuss the main challenges of online assessment that we experienced when migrating from an in-class to an online environment due to the COVID-19 outbreak, namely, academic integrity, adaptation to the new testing environment, technical problems and anxiety. We then elaborate on the practices we developed to minimize their impacts on both students' and instructors' performance. To maintain academic integrity, a combination of practices including awareness/communication, restricted test features and administrative proctoring were applied. The grade distributions of similar courses with in-class and online assessments were compared to evaluate the efficiency of the proposed practices in enhancing academic integrity. The efficacy of a pilot test in enhancing adaptation to a new testing environment is also discussed. The combination of a grace period, a pilot test and communication plans seems to be an effective practice to minimize complaints related to technical problems and students’ anxiety. Finally, we found that our coordination with the information technology department and implementing a pilot test helped instructors minimize their anxiety regarding working in the new environment.

Online exams and the COVID-19 pandemic: a hybrid modified FMEA, QFD, and k-means approach to enhance fairness

COVID-19 pandemic caused an increasing demand for online academic classes, which led to the demand for effective online exams with regards to limitations on time and resources. Consequently, holding online exams with sufficient reliability and effectiveness became one of the most critical and challenging subjects in higher education. Therefore, it is essential to have a preventive algorithm to allocate time and financial resources effectively. In the present study, a fair test with sufficient validity is first defined, and then by analogy with an engineering product, the design process is implemented on it. For this purpose, a hybrid method based on FMEA, which is a preventive method to identify potential failure modes and prioritize their risk, is employed. The method's output is provided to the QFD algorithm as the needs of product customers. Then, the proposed solutions to prevent failures are weighted and prioritized as the product's technical features. Some modifications are made to the classic form of FMEA in the proposed method to eliminate its deficiencies and contradictions. Therefore, our proposed algorithm is a precautionary approach that works to prevent breakdowns instead of fixing them following their occurrence. This issue is very effective in increasing the efficiency of activities in times of crisis. Eventually, a prioritized list of preventive actions is provided, allowing us to choose from available solutions in the circumstances with limited time and budgetary, where we cannot take all possible actions.

Using Analytics to Identify When Course Materials Are Accessed Relative to Online Exams during Digital Education

Face-to-face education has changed to blended or distance teaching due to the COVID-19 pandemic. Since education took a digital format, it can be investigated when course materials are accessed relative to online exams: are they opened before exams or during them? Therefore, four subjects were chosen for investigation at the University of Pannonia: one theoretical, one practical, and two that are both theoretical and practical were selected. Two groups of non-repeater 2nd-semester students and two groups of non-repeater 5th-semester students attended these classes. Slides were uploaded to the university’s Moodle system, while videos were uploaded to YouTube. Their analytics were used for the investigation. The analyses were conducted in five groups of days relative to the exam day. According to the results, students studied throughout the semester for the normal exam in most cases, while they studied a day before the supplementary one. For cheating, the 2nd-semester students used significantly more slides, while 5th-semester students used significantly more videos. Even with cheating, the students in their 2nd semester received significantly worse marks by 26.06% than those who were in their 5th semester.

Challenges and Opportunities for Telecommuting in the School System: Building a Sustainable Online Education in the Context of the SARS-Cov-2 Pandemic

The main idea of this investigation is to identify a series of challenges and opportunities presented by telecommuting within the school system as a result of the SARS-Cov-2 pandemic. The objective of the paper is to identify key elements which are able to provide concrete assistance in building a sustainable online education system, with particular reference to Romania, as a system that can be used beyond the timeframe of the current pandemic. The methodology used for our scientific investigation is quantitative, based on an eight-item data collection instrument/questionnaire with 459 respondents (bachelor, masters, doctoral, and postdoctoral students—which makes this research a study from the perspective of the students’ perceptions) with ages ranging from 18 to 53. In terms of results, the eight items were evaluated on a Likert Scale from 1 to 5, leading to the formulation of seven hypotheses (H1 to H6), of which six were accepted and one was rejected (H7) (the questionnaire has a margin error/confidence interval of ±4.5% and a confidence level of P = 95%). We concluded from the six validated hypotheses, coupled with the one which was invalidated, that telecommuting to online education was not only successful but also garnered a system characterized by sustainability. Despite the swiftness of telecommuting to online education and the perceptions of the student population, online learning can be efficient and sustainable, in which case further government policies can only improve a system that has already been proven to work.

Transportation, the pathogen vector to rule them all: Evidence from the recent coronavirus pandemic

INTRODUCTION

It is common knowledge that mobility refers to a distinct vector for pathogens, but the importance of prevention and the infusion of public health practices within transportation systems is not manifest. Replication studies of this effect are important because transportation remains veiled in modern societies, since its demand is not direct, but derived.

METHODS

Variables mirroring transportation and logistics' systems intensity (trade data, the logistics performance index, and investment in transportation) are cross-tabulated with epidemiological data from the recent coronavirus pandemic. As the samples of the data pertain to a dependent commonality, the statistical hypothesis test applicable is McNemar's test. In addition, the statistical power of the test(s) is calculated as a marker of methodological validity and reliability. To further strengthen the analytical methodology, a plethora of descriptive statistics have been calculated and multiple correspondence analysis (MCA) has been conducted.

RESULTS

This work confirms that the domain of transportation bears a strong association with not only mortality of a disease, but its recovery rates as well. All crosstabs provide statistically significant results and the statistical power calculated is very high, signifying the appropriateness of the methodology and the very low probability of Type II error. The MCA results are significant, as well.

CONCLUSIONS

The impact, or even the presence of transportation is veiled, as transportation comprises of derived demand dynamics. As such, its activities and even the prerequisites for its efficient operations many times go unnoticed. This work replicates a known effect, that mobility exacerbates the presence of a pathogen. The significance of this research lies on the fact that distinct indicators that reflect transportation and logistics are (though a robust calculatory methodology) statistically associated with epidemiological data.

Using alternative teaching and learning approaches to deliver clinical microbiology during the COVID-19 pandemic

The COVID-19 (coronavirus disease 2019) pandemic has had significant impacts upon higher education teaching. Clinical microbiology teaching is primarily focused on a combination of practical skill development and didactic delivery of content. In the pandemic, the absence of in-person teaching has led to educators adapting in-person content for online platforms and delivery. This commentary covers alternative innovative and engaging teaching approaches to deliver clinical microbiology content during the COVID-19 pandemic.

Response of educational institutions to COVID-19 pandemic: An inter-country comparison

The ongoing global COVID-19 pandemic has revolutionized the education system and forced fundamental changes in the teaching–learning process. The present study aims to explore various modes of education used by educational institutions across the world and provide a holistic understanding of different measures taken by governments and universities to endure the crippling crisis. The radical shift to digital pedagogy followed by online assessments and examinations brought new experiences to both educators and learners. This paper elucidates the extraordinary challenges encountered by various stakeholders in making the required shift to digital learning and the substantial attempts made by educational institutions to minimize learning losses. The paper also presents various opportunities induced by the COVID-19 pandemic and highlights the need to develop appropriate mechanisms to deal with such an unforeseen crisis in future. To this effect, some recommendations have been made that may enable educational institutions to eliminate adversities and maintain academic integrity in tempestuous times.

COVID-19 compliant and cost effective teaching model for King Abdulaziz University

The global pandemic of COVID-19 has been going on for over sixteen months. During this period, we have witnessed a colossal loss of life, property, business, and a degradation of social life. Several different variants or strains of SARS-CoV-2, which causes COVID-19, have been found in different parts of the world. This pandemic has so far infected more than one hundred and thirty five million people, which has caused significant damage to the education sector. The majority of students around the world have lost access to face-to-face classes. While dealing with the crisis, some higher education institutions are still finding it difficult to adapt to alternative ways of imparting education. Many of them are using learning management systems and other online technologies and tools to facilitate online learning. The aim of this manuscript is to propose a cost-effective hybrid teaching model (CeHTM) for the King Abdulaziz University. The proposed model is designed after analyzing two anonymous online feedback surveys in which nearly four thousand students and more than four hundred instructors have participated. The CeHTM is novel as it is the first framework of its kind for imparting education during pandemic. Given the uniformity of educational system in Saudi Arabian universities, the proposed model can be used by other Saudi Arabian institutions, and adapted elsewhere, especially in the Middle East and North Africa.