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Raymon Pomoy Española; Jerome A. Ouano – Malaysian Journal of Learning and Instruction, 2024
Purpose: Flexible learning is a delivery modality associated with positive outcomes, but its use at the height of the COVID-19 pandemic has been associated with dark student experiences, such as poor interest and dishonesty among students. To understand how and why many tertiary students lost their motivation and became disengaged in pandemic-era…
Descriptors: Postsecondary Education, Student Behavior, Ethics, Student Motivation
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Daniel Kangwa; Mgambi Msambwa Msafiri; Xiulan Wan; Antony Fute – Social Psychology of Education: An International Journal, 2024
Online and computer-assisted learning have become widespread in the rapidly evolving education landscape. However, these learning modalities uniquely challenge academic integrity, escalating the potential for academic cheating. This systematic review used thematic and narrative syntheses to examine the relationships and the effects of self-doubt…
Descriptors: Self Esteem, Self Concept, Self Management, Influences
Malcolm Tight – Assessment & Evaluation in Higher Education, 2024
This article presents a literature review of published research focused on challenging cheating in higher education. A brief overview of the literature on cheating in higher education is offered, showing the global interest in the topic, the varied ways in which it has been defined, and evidence on its incidence and causes. The range of methods…
Descriptors: Cheating, Higher Education, Global Approach, Discipline Problems
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Alexander Stanoyevitch – Discover Education, 2024
Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…
Descriptors: Computer Assisted Testing, Student Evaluation, Artificial Intelligence, Electronic Learning
Kadayam Guruswami, Gomathi; Mumtaz, Sabiha; Gopakumar, Aji; Khan, Engila; Abdullah, Fatima; Parahoo, Sanjai K. – Journal of Academic Ethics, 2023
A high level of professional integrity is expected from healthcare professionals, and literature suggests a relationship between unethical behavior of healthcare professionals and poor academic integrity behavior at medical school. While academic integrity is well researched in western countries, it is not so in the Middle East, which is…
Descriptors: Integrity, Allied Health Personnel, Allied Health Occupations Education, Student Behavior
Vellanki, Surya Subrahmanyam; Mond, Saadat; Khan, Zahid Kamran – TESL-EJ, 2023
The hasty adoption of remote teaching (RT) by educational institutes in response to the COVID-19 pandemic has drastically impacted teaching, learning, and assessment. With most institutes unprepared for sudden lockdowns, and many educators lacking online teaching and assessment experience, old methods of assessment continued to be used, at least…
Descriptors: Computer Assisted Testing, Student Evaluation, English (Second Language), Language Teachers
McNair, Delores E.; Oye, William N. – New Directions for Community Colleges, 2018
College officials across the United States struggle with how to prevent and effectively respond to incidents of academic dishonesty. In this chapter, we propose alternative practices that support student development and learning.
Descriptors: Cheating, Prevention, College Students, Discipline
Schultz, Madeleine; Lim, Kieran F.; Goh, Yoong Kuan; Callahan, Damien L. – Assessment & Evaluation in Higher Education, 2022
Restrictions on movement during the COVID-19 pandemic led to assessment being conducted online, which gave students opportunities to use internet search engines during examinations. We found that in some cases internet searches resulted in characteristic incorrect responses, and around one third of students entered these answers to examination…
Descriptors: Student Characteristics, Online Searching, Internet, Chemistry
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
Gorney, Kylie; Wollack, James A. – Practical Assessment, Research & Evaluation, 2022
Unlike the traditional multiple-choice (MC) format, the discrete-option multiple-choice (DOMC) format does not necessarily reveal all answer options to an examinee. The purpose of this study was to determine whether the reduced exposure of item content affects test security. We conducted an experiment in which participants were allowed to view…
Descriptors: Test Items, Test Format, Multiple Choice Tests, Item Analysis
Liu, Kawai – Online Submission, 2022
Although educators are using various ways in evaluating students' learning, traditional paper pencil final exams are usually held at the end of the school year to conclude the course. During the school suspension due to the COVID-19 outbreak, this traditional approach is no longer applicable to some schools. In this article, alternative final…
Descriptors: COVID-19, Pandemics, School Closing, Student Evaluation
Ohashi, Louise – Research-publishing.net, 2022
Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Computational Linguistics
Mengkorn Pum; Sarin Sok – Asian Journal of Distance Education, 2024
With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Software

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