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Showing 1 to 15 of 34 results Save | Export
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Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
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,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
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Sarah Moore; Kathryn Lookadoo – Business and Professional Communication Quarterly, 2024
This article presents the ongoing conversation about generative AI guidance and policy in higher education. The article examines syllabus policies, including analyzing sentiment, emotion, and common themes in GenAI policies. Findings show that policies should be audience-focused, clearly written, and grounded in strategies to promote ethical AI…
Descriptors: Artificial Intelligence, Educational Policy, Course Descriptions, Audience Awareness
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Juuso Henrik Nieminen; Sarah Elaine Eaton – Assessment & Evaluation in Higher Education, 2024
Assessment accommodations are used globally in higher education systems to ensure that students with disabilities can participate fairly in assessment. Even though assessment accommodations are supposed to promote access, not success, they are commonly portrayed as potentially being "cheating" in that they provide certain students with…
Descriptors: Foreign Countries, Higher Education, Testing Accommodations, Academic Accommodations (Disabilities)
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Fritz, Tanja; González Cruz, Hernán; Janke, Stefan; Daumiller, Martin – Educational Psychology Review, 2023
Academic dishonesty is a pervasive problem undermining the effectiveness of educational institutions. From a motivational perspective, researchers have proposed achievement goals as antecedents of academic dishonesty. Empirical findings corroborate the notion that mastery goals (focus on learning and competence development) are negatively linked…
Descriptors: Academic Achievement, Goal Orientation, Cheating, Meta Analysis
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Pritpal Singh Bhullar; Mahesh Joshi; Ritesh Chugh – Education and Information Technologies, 2024
ChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
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Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
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Mulisa, Feyisa; Ebessa, Asrat Dereb – Cogent Education, 2021
There has been a growing interest in determining whether dishonesty in college can be transferred to the professional workplace. There have been few, yet scarce, studies that focused on the link between college and workplace dishonesty. This review aims to bring into the limelight evidence-based consistency of the links between college and…
Descriptors: Ethics, College Students, Student Behavior, Employees
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Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation
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Comas-Forgas, Rubén; Sureda-Negre, Jaume; Morey-López, Mercè – Assessment & Evaluation in Higher Education, 2021
This article analyses the advertisements inserted in search engines of Spanish academic services websites in 2018 and 2019. Content analysis of these advertisements, conducted through the use of Semrush (Search Engine Optimization SEO and Search Engine Marketing SEM audit platform), shows that a large number of platforms offer to write academic…
Descriptors: Foreign Countries, Cheating, Contracts, Marketing
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Sarah French; Ashton Dickerson; Raoul A. Mulder – Higher Education: The International Journal of Higher Education Research, 2024
High-stakes examinations enjoy widespread use as summative assessments in higher education. We review the arguments for and against their use, across seven common themes: memory recall and knowledge retention; student motivation and learning; authenticity and real-world relevance; validity and reliability; academic misconduct and contract…
Descriptors: High Stakes Tests, Program Effectiveness, Evidence Based Practice, Summative Evaluation
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Ndubuisi Friday Ugwu; Adewumi Segun Igbinlade; Raphael Ezamenyi Ochiaka; Ugochi Debora Ezeani; Nnaemeka Chijioke Okorie; Jacob Kehinde Opele; Toyin Segun Onayinka; Obinna Iroegbu; Ogechi Kate Onyekwere; Adijat Bolanle Adams; Precious Aigbona; Folasade Busayo Ojobola – Higher Learning Research Communications, 2024
Objective: The purpose of the study was to clarify, through the lenses of experts and frontline publishers, ethical dilemmas related to the use of artificial intelligence (AI) in research writing. Method: We conducted a rapid review of expert opinions and publishers' policy statements on ethical considerations in using AI for research writing. We…
Descriptors: Research Papers (Students), Research Reports, Academic Language, Artificial Intelligence
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Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Lesisko, Lee J.; Mauro, Robert D.; Sebelin, Jane S. – Online Submission, 2018
This study provides K-12 students, as well as parents/guardians, with an understanding of the concept of plagiarism in an online academic environment. The authors begin with real world scenarios that allow the reader to understand the setting and context of the problem. The impact of plagiarism is explored through a cost benefit analysis from each…
Descriptors: Elementary Secondary Education, Plagiarism, Online Courses, Probability
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