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As more students take online courses as part of their college curricula, the integrity of testing in an online environment becomes increasingly important. The potential for cheating on exams is generally considered to be higher in an online environment. One approach to compensate for the absence of a physical proctor is to use a remote proctoring service that electronically monitors the student during the examination period.

We examined the exam grades for 261 students taking two different upper division accounting courses to determine if a computer-based remote proctoring service reduced the likelihood of cheating, measured through lower exam scores, as compared to classroom proctoring and no proctoring. We examined both online and on-campus courses.

In qualitative and quantitative accounting courses, evidence shows that grades were significantly lower for students who were proctored using a remote proctoring service compared to students who were not proctored. In the quantitative course, remote proctoring resulted in significantly lower final exam scores than either classroom or no proctoring. However, in the qualitative course, both remote proctoring online and live proctoring in a classroom resulted in significantly lower final exam scores than no proctoring, and they are not statistically different from each other.

Academics and administrators should find these results helpful. The results suggest that the use of proctoring services in online courses has the potential to enhance the integrity of online courses by reducing the opportunities for academic dishonesty during exams.

To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.

A systematic literature review was conducted. The PRISMA procedure was adapted for the literature search. The topics were identified by topic modelling techniques from 154 relevant publications in seven databases.

Seven widely discussed topics in literature were identified, including solutions for detecting cheating and student authentication, challenges/issues of uptakes and students' performance in different proctoring environments.

This paper provides insights for academics, policymakers, practitioners and students to understand the implementation of digital proctoring in academia, its adoption by HEIs, impacts on students' and educators' performance and the rapid increase in its use for digital exams in HEIs, with particular emphasis on the impacts of the systems on digitalising examinations in HE.

This review paper has systematically and critically described the state-of-the-art literature on digital proctoring in HE and provides useful insights and implications for future research on digital proctoring, and how academic integrity in online examinations can be enhanced, along with digitalising HE.

The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic university online exam and checked the proctoring result.

The IOPS adopts the B/S (Browser/Server) architecture. The server side is implemented with programming language C and Python and stores the identification data of all examinees and their important behavior change status, including facial expression, eye and mouth movement and speech. The browser side collects and analyzes multimodal data of the examinee writing the online test locally and transfers the examinee’s most important behavior status change data to the server. Real-time face recognition and voice detection are implemented with the support of open-source software.

The system was integrated into a Web-based intelligent tutoring system for school mathematics education. As a pilot application, the system was also used for online proctored exam in an undergraduate seminar in Peking University during the epidemic period in 2020. The recorded log data show that all students concentrated themselves on the exam and did not leave the camera and did not speak.

During the epidemic period of the novel coronavirus outbreak, almost all educational institutions in the world use online learning as the best way to maintain the teaching and learning schedule for all students. However, current online instruction platforms lack the function to prevent the learners from cheating in online exams and cannot guarantee the integrity and equality for all examinees as in traditional classroom exams. The literature review shows that the online proctoring system should become an important component of online exams to tackle the growing online cheating problem. Although such proctoring systems have been developed and put on the market, the practical usage of such systems in authentic exams and its effect have not been reported. Those systems are heavyweight and commercial product and cannot be freely used in education. The light-weight IOPS developed by the authors could meet the need for online exam as a stable and practical approach and could contribute to the growing online learning and distance learning.

The objective of this study was to compare three distinct methods of test monitoring in the context of distance education—non-proctored remote or online tests, traditional face-to-face proctored tests and remotely proctored tests using software—to analyze if the method in which tests are monitored influences the obtained grades.

The experiment was carried out at the postgraduate level in the Master's Degree in Administration program in the modality of distance education, with a total of 296 students during three terms wherein the monitoring method of the final exam varied, keeping the other variables constant. This study used a quantitative method in which the distribution of grades was analyzed; and the grades from each method were tested. Finally, using a multiple linear regression model with dichotomous variables, the impact on students' academic performance with each method was quantified.

The results indicated that the remotely proctored online test grades were seven points lower with respect to the traditional method. This result does not mean that the lower scores in the remote proctored condition were due to better adherence to academic honesty, maybe this could be due to test anxiety, technology interference or a number of other factors that would confound the validity of the final test score.

The results indicated that the non-proctored online test favored the grade in four points with respect to the traditional method.

The authors conclude to support recommending non-proctored online test, this can be a closer substitute to the traditional method than remote application with software monitoring.

Not exist another paper to compare three distinct methods of test monitoring in the context of distance education.

Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds: first, to determine how perceived lecturers’ justice and opportunity to cheat may mitigate academic misconduct in online classes, and second, to evaluate the moderating effect of spiritual power on the relationship between perceived lecturers’ justice and opportunity to cheat and academic misconduct.

This research was conducted at universities in three Southeast Asia countries, including Indonesia, Malaysia and Thailand, with a total of 339 respondents. The research questionnaire was distributed using Google Forms. The analytical method used to test the research hypothesis is moderated regression analysis (MRA).

The findings of this study reveal that spirituality moderates the relationship between lecturer justice and the opportunity to cheat online. Even though the justice level of the lecturer is low, individuals with relatively high spirituality will show much less cheating behavior than when there is a low level of lecturer justice and a low level of student spirituality, and vice versa.

Cheating occurs when students develop an intention to cheat, which leads to actual involvement in cheating, meaning that theoretically, the findings extend the fraud triangle theory. In addition, the practical implications of this research are that lecturers need to conduct fair teaching, such as transparency of exam conditions, assessment, the right to an opinion and supervision during exams, consequently, the students cannot cheat. Spirituality is also an essential factor that can reduce online cheating, so instilling spirituality in specific courses is a fruitful solution.

The contributions of this study are twofold. First, this study gives testable theories on how spiritual help works. Second, this study offers tailored and more humanistic assistance, such as a mechanism that adjusts to the academic world’s usage of more positive technologies. This study contributes to the literature on online cheating in higher education across three Southeast Asian nations (Indonesia, Malaysia and Thailand).

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

Data were collected from selected young adult participants using a stratified probability sampling strategy. Smart PLS was used to analyse the data.

The findings of the study indicate that perceived usefulness (PU), peer review (PR) and attitude (ATT) positively influence continuance intention (CI).

In line with the available literature, there are few prior post-adoption studies that delineate the influence of individual characteristics on digital commerce usage activities. There is high mobile penetration as a result of positive digital commerce and mobile application usage and adoption, creating the need to investigate and better understand the drivers behind, not just adoption and usage, but continued use of digital commerce platforms and applications. Since the sample size is relatively small, further future research studies can test the same model with bigger sample sizes to assess generalisability of the results in different locations.

This study adds to the current literature by concentrating on the extent to which systems and marketing elements influence young adult customers' intention to continue using online and mobile grocery shopping platforms in South Africa.

The study adds value from a theoretical standpoint, contributing to the antecedent factors of the technology acceptance model (TAM), theory of reasoned action (TRA) and stimulus-organism-response (S-O-R) model and giving marketing academics insights into what aspects drive re-use of online and mobile grocery shopping and on what should be the focus.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

In an educational era focused on expectations related to program accreditation, academic integrity is paramount to program success and credibility. Because Internet-based learning is not limited to geographical or political lines drawn on a map, there is a certain amount of ambiguity regarding the application of regulations and laws governing online learning and how they are enforced. Managing the financial and accreditation needs of institutions with authentic and appropriate methods of teaching, learning, and assessment is a precarious balance – one in which the potential for misbehaving online can quickly tip the scales to the side of questioning the credibility of online learning and misusing power in terms of data privacy. Wendy Kraglund-Gauthier and David Young explore the issue of how online students misbehave when being tested at a distance, what technological challenges emerge when verifying the identity of online students, and issues of privacy. They also include a comparison of methods used to confirm the identity of online students. In light of the inherent challenges that emerge alongside the demand for more technology-based screening tools and devices, Kraglund-Gauthier and Young question whether solutions lie in competence-based assessment for learning, rather than a reliance on surveillance. They argue that in spite of stakeholders' best efforts and best intentions, legislation directed at ensuring online privacy is fraught with potential challenges.

Online testing offers many advantages for classroom management and learning: ease of grading, immediate feedback, robust question types, integration of technology such as graphing utilities or specialized applets, and multimedia integration (e.g., questions based on detailed images or video files). It also offers many opportunities for misbehavior, such as misrepresentation (e.g., taking a test for someone else), sharing information between testing sessions, or inappropriate access of online resources during the test. We consider potential tools available in course management systems that can help, and also mention other available resources. With online testing, it is easier for students to save copies of testing materials, which find their way to social web sites. Fortunately, many course management systems allow the possibility of randomization, either by choosing one of several alternate questions on a given topic, or preparing calculated questions in which a parameter is allowed to vary over a specified range of values.