student cheating
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Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 654
Author(s):  
Dan Komosny ◽  
Saeed Ur Rehman

COVID-19 has disrupted every field of life and education is not immune to it. Student learning and examinations moved on-line on a few weeks notice, which has created a large workload for academics to grade the assessments and manually detect students’ dishonesty. In this paper, we propose a method to automatically indicate cheating in unproctored on-line exams, when somebody else other than the legitimate student takes the exam. The method is based on the analysis of the student’s on-line traces, which are logged by distance education systems. We work with customized IP geolocation and other data to derive the student’s cheating risk score. We apply the method to approx. 3600 students in 22 courses, where the partial or final on-line exams were unproctored. The found cheating risk scores are presented along with examples of indicated cheatings. The method can be used to select students for knowledge re-validation, or to compare student cheating across courses, age groups, countries, and universities. We compared student cheating risk scores between four academic terms, including two terms of university closure due to COVID-19.


Computer ◽  
2021 ◽  
Vol 54 (10) ◽  
pp. 90-94
Author(s):  
Joseph Mortati ◽  
Erran Carmel

2021 ◽  
Author(s):  
Antoni Alegre-Martínez ◽  
Maria Isabel Martinez-Martinez ◽  
José Luis Alfonso-Sanchez

The Covid-19 pandemic forced universities to convert their traditional face-to-face exams to online exams with doubts as to whether student cheating or technical difficulties would affect their final grades. After taking three of these exams online, we considered comparing their grades with those of previous years on traditional exams. The average mark of the traditional exams before the pandemic was 6.95 over 10, while the average mark of the three exams carried out in the Covid-19 era is 6.64. The student's t test indicated that there are no significant differences between the two types of exams in the mean (p = 0.408), the median (p = 0.378), the range (p = 0.307), the minimum (p = 0.410) and the maximum (p = 0.072). Taking online exams did not modify the exam grades compared to previous years. There is a lot of variability in similar studies in the literature due to cheating that can be performed in online exams. A proctoring system, good question design, and limited exam time can minimize these differences.


2021 ◽  
Author(s):  
Ines Alegre ◽  
Jasmina Berbegal-Mirabent

One of the biggest challenges of online teaching is student evaluation. With the students not being physically present, assessing their level of knowledge on a subject presents different challenges than those tradionally encountered in face-to-face teaching. In this paper we present an overview of different evaluation systems and reflect about its advantages and disadvantages when applying them in online environments.The most common evaluation systems: multiple-choice quizzes, open question exams, essays, projects and oral exams, are ranked depending on several criteria. Criteria include items that any professor should take into consideration such as easiness of design and preparation or difficulty of student cheating. The advantages and downsides of each evaluation system are presented and several mechanisms to mitigate the disatvanges of each method are proposed.This paper is  helpful to professors and teachers, specially in the current situation where the Covid-19 pandemic has moved most high-education teaching online.


2021 ◽  
Vol 15 (2) ◽  
pp. 103-113
Author(s):  
Hadrian Geri Djajadikerta ◽  
Terri Trireksani ◽  
Tricia Ong ◽  
Saiyidi Mat Roni ◽  
Soheil Kazemian ◽  
...  

This study analyses and presents accounting academics' experiences in six universities in Australia, Malaysia, and Indonesia to adapt to the swift change to the remote virtual classroom delivery model forced by the COVID-19 pandemic, while also gaining valuable lessons from this unique situation. In this study, autoethnography's basic principles were used. The main results suggest that the universities' combined current information and communication technologies, learning management systems, blended learning experiences, training, and supports, although not without hitches, were able to accommodate the shift to a remote virtual classroom model quite effectively. However, the move to fully online assessment has been conceded to likely increase the embedded risk of student cheating. The availability of reliable internet connection for students is also crucial in ensuring access equality and effective remote virtual classroom delivery.


Author(s):  
Sylvie Fontaine ◽  
Eric Frenette ◽  
Marie-Hélène Hébert

AbstractThis article presents the results of a research that aimed to examine the phenomenon of student cheating on exams in faculties of education in Quebec universities. A total of 573 preservice teachers completed an online survey in 2018. The questionnaire consisted of 28 questions with a Likert scale related to individual and contextual factors associated with the propensity to cheat on exams as well as two yes/no items on the arguments for cheating. Descriptive and hierarchical linear regression analyses highlighted the existence of cheating but also how three factors influenced the students’ propensity to cheat: influence of peers, methods of cheating, and institutional context.


Author(s):  
Odysseus Makridis ◽  
Fred Englander
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