Academic Dishonesty Research Articles

Academic Cheating, Achievement Orientations, and Culture Values: A Meta-Analysis

This preregistered meta-analysis investigated whether cultural values moderate the relations between students’ achievement orientations and their tendency to cheat. We identified 80 studies on the associations between performance/learning orientations and academic cheating in 27 countries with 40,867 participants. Performance orientation positively correlates with academic cheating ( r = .09, 95% CI = 0.04 to 0.13), and learning orientation negatively correlates with academic cheating ( r = −.16, 95% CI = −0.20 to –0.13). Univariate meta-analysis, hierarchical meta-regression, and meta-analytic structural equation modeling (MASEM) revealed that cultural values at the country level significantly moderate the relations between achievement orientations and cheating. These findings suggested that cultural values play a significant role in influencing the relations between achievement orientations and academic cheating, and, thus, cheating prevention programs must consider culture to achieve optimal effects. Based on these findings, we propose a new model that integrates cultural values into the existing model of academic cheating decision-making.

The Development of the Archerys Instructional Design Model Arcs-Motivational-Based in Efforts to Reduce Academic Dishonesty in Higher Education

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Challenges and Implications of Blended Learning Adoption in the Age of Communication Technology: A Case Study of Vietnamese Universities During the COVID-19 Pandemic

The pervasive influence of communication technology has profoundly shaped contemporary life, significantly impacting global education. The COVID-19 pandemic accelerated the adoption of technologies like social media platforms and massive open online courses (MOOCs) as substitutes for traditional in-person education, exposing shortcomings, particularly in regions with limited online infrastructure. Although extensive research exists on online education, including blended learning models, the challenges associated with their effective implementation remain underexplored. This study aims to address these gaps by examining the adoption of blended learning within Vietnamese universities during the pandemic through the lens of Activity Theory. This framework, which analyzes the dynamic interactions between individuals, tools, and their sociocultural environment, provides a deeper understanding of how students, educators, and institutions navigate blended learning. This study employed semi-structured interviews with administrators, lecturers, curriculum developers, and students across four campuses of a university in Vietnam. The findings highlight key challenges related to student engagement, academic dishonesty, and constraints in institutional infrastructure, underscoring the need for targeted strategies to enhance blended learning outcomes.

A risk-based approach to mitigating the Gen(AI) challenge to assessment integrity

In the evolving landscape of higher education, emerging technologies such as Generative AI (GenAI) present both opportunities and challenges. The rapid increase in access to, and sophistication of, GenAI poses significant challenges for our institution and the wider sector (Bearman & Luckin 2020, Bobula 2024, Chan & Hu 2023). The most immediate of these challenges is the increased risk to the existing approaches used to assure that students achieve the stated outcomes of their learning experiences. Director of Higher Education Integrity Unit, TEQSA, Dr Helen Gniel argues ‘We are entering an age where institutions can no longer ensure the integrity of every single assessment, and it makes sense to think at that bigger level […] what are the mechanisms that you have in place to be confident that an individual has demonstrated the learning outcomes to receive that degree’(TEQSA information request: AI risk mitigation, webinar, 21 March 2024). While higher education institutions are exploring opportunities to realise the potential benefits of GenAI, our immediate focus is on mitigating these risks. This poster describes institutional Programmatic Assessment Security Project (PASP) at the University of Newcastle (UON), a pioneering four-stage initiative designed to address academic integrity risks associated with inappropriate uses of GenAI in summative assessment (Lodge 2024). Academic integrity risks in this context refers to the potential for students to engage in academic misconduct by using GenAI tools in ways that violate institutional policies or ethical standards for assessment. These risks pose a threat to the validity and reliability of summative assessments, potentially compromising the integrity of academic qualifications and the learning process itself. Led by the central teaching and learning support unit, in collaboration with the Artificial Intelligence Working Group (AIWG) a group of expert practitioners and academic stakeholders at UON, the PASP aims to secure assessments across a program of study, assuring student attainment of program learning outcomes. This innovative approach aligns with the sector’s focus on programmatic assessment and supports compliance with regulatory requirements, including TEQSA’s mid 2024 request for institutions to submit a detailed action plan to mitigate the risks that GenAI poses to the integrity of awards (TEQSA 2024). This poster showcases exemplary innovation in practice through the PASP, advancing research and practice in technology-enhanced learning (TEL). The PASP employs a risk-based approach, identifying seven risk factors for inappropriate student use of GenAI in assessment tasks. The first step in this project involved Course Coordinators completing an Assessment Reflection Survey, guiding them to reflect on individual assessment tasks in relation to these risk factors. The survey data were then used to compile an understanding of the varying levels of assessment risk across the institution’s programs. The PASP will deliver a defined series of secure assessments, delivered at key moments across a program of study to assure student attainment of program learning outcomes. This poster provides insight into UON’s contemporary and agile approach to TEL and assessment redesign, with potential for staff at other institutions to adopt similar responses.

Students’ perceptions of ‘AI-giarism’: investigating changes in understandings of academic misconduct

AbstractThis novel study explores AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students’ perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their perception of AI-plagiarism. A survey, undertaken by 393 undergraduate and postgraduate students from a variety of disciplines, investigated their perceptions of diverse AI-giarism scenarios. The findings portray a complex landscape of understanding with clear disapproval for direct AI content generation and ambivalent attitudes towards subtler uses of AI. The study introduces a novel instrument to explore conceptualisation of AI-giarism, offering a significant tool for educators and policy-makers. This scale facilitates understanding and discussions around AI-related academic misconduct, contributing to pedagogical design and assessment in an era of AI integration. Moreover, it challenges traditional definitions of academic misconduct, emphasising the need to adapt in response to evolving AI technology. The study provides pivotal insights for academics and policy-makers concerning the integration of AI technology in education.

Gen AI and student perspectives of use and ambiguity

Advances in generative artificial intelligence (GenAI) have created uncertainties and tensions in higher education, particularly concerning learning, equity and quality. Despite emerging empirical research, much current policy is based on assumptions about how and why students are using GenAI. This Pecha Kucha reports on 20 online focus groups involving 79 students from four Australian universities. Each focus group represents a mix of disciplines and levels of study (including undergraduate and postgraduate). We conducted reflexive thematic analysis, adopting a relational view of AI (Bearman & Ajjawi, 2023) that supports a nuanced examination of how AI uses are enacted, understood, and contested within educational settings. Our study shows that students use GenAI in diverse and complex ways and their beliefs about GenAI contain ambiguity, contradictions, and tensions. In this pecha kucha we focus on five interrelated tensions, identified across participants, and selected as particularly significant and challenging for educators. The salience of these tensions varied across participants but, together, they paint a complex picture of student engagement with GenAI. Tension 1 is between student perceptions of AI in terms of enhanced efficiency and concerns about academic integrity. Students reported that GenAI tools could speed up writing, editing, summarising, and simplifying complex materials. However, many also feared that short-cuts and efficiencies could lead to accusations of cheating. Tension 2 is between widespread adoption of GenAI tools and ambiguous policy around acceptable use. Many students used a diverse range of GenAI tools, yet a number of participants voiced uncertainty about allowable use of GenAI in assessments. A perceived lack of clear and detailed guidance from universities created confusion and anxiety, and the development of personal rules to avoid accusations of academic misconduct. Tension 3 is between empowerment and dependency. AI tools were sometimes seen as reducing inequalities (e.g. for international students or those requiring language support). On the other hand, some students expressed concerns about becoming dependent on GenAI tools where tasks were made too easy, undermining learning and skill development. Tension 4 is between access and equity. Closely related to tension 2, here, the reduction of barriers to academic writing and accessing educational resources is contrasted with concerns around exacerbating inequalities due to variation in access and support. These concerns are amplified through diversity of engagement, beliefs of students and educators around acceptability, and contextual pressures (e.g. fear of being left behind, time pressures, the perceived stakes of assessment). Tension 5 is between beliefs about deepened engagement with learning materials and reduced quality or accuracy of GenAI output. Some students reported that GenAI tools could provide useful perspectives on resources or simplify complex texts. However, many voiced frustration that GenAI tools sometimes provided incorrect information, required verification or “missed the point”, which could lead to significant additional work. These tensions highlight areas where students need additional support and guidance. The overlaps and entanglements of these tensions make their navigation in higher education particularly complex. These findings suggest practical implications for educators, policymakers, and institutions. For instance, to better support students, institutions should continue to develop clear, context-sensitive guidelines that resolve ambiguities around acceptable use (Tensions 1 and 2) and provide concrete strategies to balance the benefits of efficiency with concerns over academic integrity and dependency (Tensions 1 and 3). Additionally, efforts should be made to ensure equitable access to GenAI tools and support (Tension 4) while helping students critically assess the quality of AI-generated content (Tension 5).

Implementing an interactive oral task to assess undergraduate psychology students’ attainment of pre-professional competencies

Finding engaging and authentic ways to assess required competencies which are resistant to academic misconduct is a challenge for tertiary psychology education. While simulation-based tasks are commonly used to assess postgraduate students’ development of professional competencies, they are less commonly used in undergraduate programs to assess pre-professional competencies. Interactive oral assessments have been suggested to achieve authenticity while inhibiting academic misconduct, and to be feasible within an online learning environment. The current study presents students’ and markers’ perceptions of an interactive oral task implemented to assess fourth-year psychology students’ counselling and reflection skills. Results suggest that students and markers perceived the interactive oral task to be an authentic assessment of knowledge and skills required for future practice, which encouraged deeper learning than written assessments or exams, and was resistant to academic misconduct. Despite feeling anxious about the new assessment format, both students and markers reported finding the engaging nature of the task enjoyable and indicated that they would like to be involved in more interactive oral assessments in the future. The extent to which these findings reflect the current literature, and the role for interactive oral tasks in the innovative, authentic assessment of pre-professional competencies which promote academic integrity are discussed.

Leveraging Oral Assessments to Enhance Learning and Integrity in Teaching Data Analytics

The rapid advancement of generative AI tools, like ChatGPT, has significantly impacted academic integrity in higher education. This paper explores the integration of oral assessments with traditional project evaluation in data analytics courses to address these challenges. While oral assessments cannot completely prevent cheating, they enable examiners to probe students' understanding more deeply. We present an overview of our assessment design and processes rather than detailed student results. We compare the implementation of oral assessments in a fully online professional course and a face-to-face undergraduate course. Moreover, we compare results before and after oral assessment training and explore AI’s role in efficiently generating individualised questions. Our findings demonstrate that oral assessments reduce academic dishonesty, enhance comprehension, and increase assessment rigour.

Academic Integrity vs. Academic Misconduct: A Thematic Evolution Through Bibliometrics

Academic Integrity vs. Academic Misconduct: A Thematic Evolution Through Bibliometrics

MIAMI: development and validation of a revised measure of academic misconduct

Academic misconduct remains a perennial concern in tertiary education around the globe. Research intended to explain this phenomenon has been conducted for almost 100 years. One of the most cited researchers is Donald McCabe, whose work was rooted in a survey instrument he developed in the late 1980s and distributed to 100,000 + students over the following two decades. Recognizing the need to continue to understand academic misconduct in the 21st century context, the present study updated and validated the original McCabe instrument as an inventory of academic misconduct behaviors, and derived psychometrically sound factors of the same to enable researchers to examine the predictors of these behaviors. Specifically, our updated instrument (named MIAMI: McCabe/ICAI Academic Misconduct Inventory) was shown to have construct validity through associations with the following predictors in a survey of tertiary students (n = 2329): academic integrity climate, peer norms, moral attitudes, and achievement goal structures. The updated survey will facilitate further research that will advance our understanding of academic misconduct and test the efficacy of interventions designed to promote academic integrity.

Religiosity as Moderation of Academic Cheating of Accounting Students with the Hexagon Theory Approach

This study aims to determine the influence of aspects of Hexagon Theory consisting of pressure, opportunity, rationalization, ability, arrogance, and collusion as well as aspects of religiosity as moderation variables on academic cheating. The primary data used in this study was collected by distributing questionnaires to students majoring in accounting, faculty of Economics and Business at the University of Muhammadiyah Palopo, Class of 2020. The sampling method with the simple random sampling method by calculating a minimum sample using the slovin formula and obtained 68 samples. The collected data was analyzed using WarpPLS 7.0 software. The test results found that pressure, rationalization, ability and collusion did not have a positive and significant effect on academic cheating while opportunity and ability had a positive and significant effect on academic cheating. Higher religiosity can minimize rationality and arrogance towards academic cheating. But religiosity can strengthen collusion to commit academic cheating. High religiosity cannot hinder academic cheating which is influenced by pressure, opportunity, and ability which are supporting factors for academic cheating

Academic Dishonesty from the Perspective of Primary School Teachers

Abstract Introduction: Academic dishonesty is addressed by various experts in pedagogy and psychology who seek to preserve academic integrity in accordance with the moral and ethical principles of contemporary society. Methods: The intention of the research was to find out how teachers evaluate different types of cheating by students during class, how they react to different types of academic dishonesty, and how they themselves were dishonest during their time in college. Teachers (N=272, mean age 40.85 years) responded on a 5-point Likert scale the attitudes towards morality, but also whether students cheated or self-reported their academic dishonesty when they were students. Results: Factor analysis indicated the existence of 4 factors of teachers’ moral beliefs (Trust in implicit morality, Teacher-given morality, Need for explicit rules, and Internalization of moral principles), which were correlated with students’ assessment of academic dishonesty (Use of external resources, Cooperation) and with teachers’ self-reported academic dishonesty (Utilitarianism, Unauthorized advantage, and Helping others). Discussion: The research findings suggest that teachers should focus more on understanding their pupils’ behaviour rather than condemning or punishing academic dishonesty and seek to develop their moral competence. Limitations: The research sample size is not representative, also the research method is not standardized. Conclusions: The role of teachers is to apply teaching strategies that will promote honest and responsible student behaviour.

Balancing Academics and Athletics: Examining Academic and Athletic Identity Profiles in a Large Sample of NCAA Division I College Athletes

College athletes balance academic and athletic roles and, as a result, can hold different combinations of academic and athletic identities. The purpose of this study was to identify common identity profiles in a large sample of Division I (elite) college athletes in the U.S. and to examine these profiles on a number of measures in academics and athletics: performance, motivation (e.g., achievement goals, autonomous motivation, competence, interest, effort, value, persistence, passion), satisfaction, and ethical conduct (e.g., cheating, plagiarism, sportspersonship, gamesmanship, aggression). Profiles were derived in Study 1 (N = 1124) and cross-validated with an independent sample in Study 2 (N = 184). Results showed four common identity profiles: (1) fully engaged college athletes with the highest academic and athletic identities, (2) committed athletes with a low academic identity and a high athletic identity, (3) academics-focused college athletes with an average academic identity and a low athletic identity, and (4) academically unengaged athletes with an extremely low academic identity and a low athletic identity. The identity profiles differed significantly across the measures of academic and athletic performance, achievement motivation (mastery, performance, task, and ego goals), satisfaction, and ethical conduct (academic misconduct, homework cheating, plagiarism, test cheating, sportspersonship, gamesmanship, instrumental aggression) in Study 1, as well as autonomous motivation (competence, relatedness, value/usefulness, effort/importance), academic persistence, and athletic passion (harmonious, obsessive) in Study 2. Taken together, findings provided evidence of both the multidimensional nature of college athletes’ identities and the heterogeneity of the college athlete population. Overall, these findings point to the importance of concurrent examination of academic and athletic identities as separate yet interrelated dimensions in research studies. This approach allows for a comprehensive understanding of college athletes' experiences and provides a more nuanced perspective on their identity development.

SOCIETAL INFLUENCES AND ACADEMIC ENVIRONMENT AS DETERMINANTS OF MORAL DECADENCE AMONG STUDENTS WITH HEARING IMPAIRMENT IN FEDERAL COLLEGE OF EDUCATION (SPECIAL), OYO

The research entitled "Societal Influences and Academic Environment as Determinants of Moral Decadence among Students with Hearing Impairment in Federal College of Education (Special), Oyo" investigates the effects of societal and academic factors on the moral conduct of students with hearing impairments. The study adopted a descriptive survey research approach, sampling 300 students using purposive sampling and utilising three measures to assess moral decay, societal values, and academic influences. The findings indicated a significant prevalence of moral decline, characterised by behaviours such as academic dishonesty and substance addiction. The research indicated that societal values exhibited a negative correlation with moral decay, whereas the academic environment demonstrated a substantial positive impact. Statistical investigations, encompassing Pearson’s correlation and multiple regressions, validated a significant combined effect of societal and academic influences on students’ moral behaviour, explaining 98.4% of the variation. The study finds that addressing these elements is essential for mitigating moral decline among students with hearing impairments.

Pharmacy students’ perception and knowledge of chat-based artificial intelligence tools at a Nigerian University

BackgroundChat-based Artificial Intelligence (AI) tools, such as ChatGPT®, are becoming integral to various aspects of pharmacy education. However, their integration into the curriculum faces challenges due to students’ varying levels of knowledge and perceptions. This study aimed to evaluate pharmacy students’ knowledge and perception of chat-based AI tools at Afe Babalola University, Ado-Ekiti, Nigeria (ABUAD). It also assessed their familiarity with these tools and their usage patterns.MethodA cross-sectional online survey was conducted from March to April 2024 among undergraduate pharmacy students, selected through random sampling. Student knowledge was categorised as good or poor while perception was grouped into positive or negative. Data analysis was conducted using Statistical Product and Service Solutions version 27.ResultsA total of 252 students participated in this study with the majority being female (72.2%). Most students (88%, n = 222) were familiar with chat-based AI tools, with ChatGPT® being the most commonly used (82.8%) for assignments and studying. Students generally showed a positive perception of the tools, with 85.3% believing it enhances academic performance. Concerns were raised about potential distractions (65.7%) and the risk of academic dishonesty (65.1%). Students with prior AI education (p < 0.001), higher levels of study (p = 0.011), and prior awareness (p < 0.001) demonstrated significantly higher knowledge scores.ConclusionPharmacy students at ABUAD demonstrated good knowledge of chat-based AI tools and generally positive perceptions towards its use. The study underscores the need to integrate AI education into the pharmacy curriculum to address knowledge gaps and better prepare students for future technological advancements.

Effectiveness of Unproctored vs. Teacher-Proctored Exams in Reducing Students’ Cheating: A Double-Blind Randomized Controlled Field Experimental Study

Unproctored and teacher-proctored exams have been widely used to prevent cheating at many universities worldwide. However, no empirical studies have directly compared their effectiveness in promoting academic integrity in actual exams. To address this significant gap, in four preregistered field studies, we examined the effectiveness of unproctored and teacher-proctored exam formats in deterring cheating behavior among university students and the role of academic integrity reminders. All four studies used a double-blind, randomized, controlled design. Before taking an exam, students were randomly assigned to take either an unproctored condition or a teacher-proctored exam, with or without receiving an academic integrity reminder. We found that the unproctored exam format is significantly more effective in reducing cheating than the teacher-proctored exam format and adding academic integrity reminders before the exams significantly reduces cheating. These findings demonstrate that incorporating unproctored exams and pre-exam academic integrity reminders into a university’s assessment practices may be a useful strategy for reducing academic dishonesty and upholding assessment validity.

CHEATING IN HIGHER EDUCATION IN THE AGE OF ARTIFICIAL INTELLIGENCE

In this study, cheating behaviors of higher education students and the changes in these behaviors due to developments in the field of artificial intelligence were examined based on the literature. The investigations show that the cheating behavior of the students is at a level that disrupts the accuracy of the decisions made about the students and academic honesty, which is one of the cornerstones of higher education. Cheating in exams, plagiarism and contract cheating are the most common of these behaviors. The way cheating behavior is displayed has also changed from past to present, depending on educational programs, measurement approaches, and developments in technology and artificial intelligence. Tremendous developments in the field of artificial intelligence in the last three years have caused students to make artificial intelligence tools an indispensable part of their cheating processes. This situation requires the development and implementation of new methods to detect and prevent cheating in higher education. Therefore, structuring new studies that address the cheating problem and its solutions in various aspects, including the technology and especially artificial intelligence dimension, is important in terms of its contribution to relevant people and institutions. It is thought that this study is important in terms of drawing attention to the issue.

Use of ChatGPT and Generative AI in Higher Education: Opportunities, Obstacles and Impact on Student Performance

A generative form of Artificial Intelligence now pervades all domains. Artificial intelligence technologies, especially ChatGPT, are increasingly prevalent in a multiplicity of fields, especially in education. This study investigated the impact of generative AI usage on student outcomes, analyzed usage patterns of ChatGPT and highlighted the challenges and advantages of integrating ChatGPT in higher education. Employing the descriptive survey method, the study's sample comprised graduate and post graduate students from Govt. Sadiq College Women University Bahawalpur, totaling (354) participants. Data collected through self-structured, closed-ended questionnaire was analyzed using SPSS software. Descriptive statistics along with correlation analyses and one-way ANOVA were used to analyze the data. The findings indicated ChatGPT is used by 51% students regularly and perceived as an effective way to rapidly complete academic tasks, provide personalized tutoring and provide 24/7 accessibility and alternative strategies, by most participant but they believe that over reliance on ChatGPT, limits student’s exploration capabilities, critical thinking and academic honesty.

The Influence of Graph Theory Approach in Preventing Cheating at Higher Learning Institution: A case of Institute of Accountancy Arusha

Academic dishonesty has been more common in recent years, both through self-reported and detected cases, which has brought significant attention to the issue of cheating in educational settings. Students often cheat for a variety of reasons, including lack of study time, unclear learning objectives, fear of failing, peer pressure, and parental pressure for academic success. Students who rely on plagiarizing answers miss the opportunity to build their skills and may face challenges in job requirements. The problem of cheating / copying the neighbor's works during the examination is particularly well known. With graph theory especially graph coloring, it is proposed to develop the students' sitting arrangement that can be the solution of cheating. An experimental case study focuses on three master's programs, three bachelor's degree programs, three diploma programs, and three certificate programs at the Institute of Accountancy Arusha. This is done when one room or a venue is assigned to two or more programs with different backgrounds depending on the size of the room. The result shows that using graph coloring has reduced the tendency of students to copy or ask questions from their neighbors in the examination room. Based on the assessment of graph theory's effectiveness in preventing cheating at the Institute of Accountancy Arusha, several recommendations can be made. First, the institution should invest in developing a comprehensive data collection system that captures relevant information such as seating arrangements, student interactions, and exam performance patterns. Collaboration with other institutions in implementing similar technologies could also create a shared knowledge base and lead to best practices in academic integrity. Finally, continuous monitoring and evaluation of this system should be conducted to refine its processes and adapt to new cheating technique.

The Influence of Artificial Intelligence on the Education System

The rapid development of artificial intelligence has had a huge and far-reaching impact on the field of education. The deep integration of artificial intelligence and education has promoted the emergence and development of artificial intelligence educational applications. Today's AI is not only a tool to enhance the learning experience, but also an important promoter of changing traditional teaching models and educational management methods. This article explores the acceptance and views of AI in different cultural backgrounds, and deeply analyzes the ethical issues that may arise in the application of AI in education, such as academic misconduct, algorithmic bias, and data privacy protection. Studies have shown that AI can help improve the personalization and efficiency of education, but its widespread use may cause students to rely on technology and weaken their critical thinking ability. In addition, if the bias in the algorithm is not effectively controlled, it may exacerbate inequality in education. The significance of the paper lies in providing theoretical support for the combination of AI and education, and putting forward constructive suggestions for balancing technological progress and human education elements in the future.