Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…

Widespread academic dishonesty among higher education (HE) students has been a concern for higher education institutes (HEIs). Ethics literature reports that unintentional plagiarism is more prevalent among HE students and the root cause is, limited or no awareness of nuances of ethics concerning plagiarism resulting in poor ethical judgments.…

While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…

Background/purpose: This study aims to better understand undergraduate students' perceptions of cheating in online learning programs at Ajman University, one of the higher education institutions in the United Arab Emirates. Materials/methods: The study used a descriptive method, employing a questionnaire instrument to collect data from faculty…

The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…

Background/purpose: Academic misconduct has become a significant, unresolved issue at all educational levels, notably higher education, worldwide. Since teachers play a major role in instilling the values of academic integrity, this issue is expected to be considered in the teacher preparation program. Materials/methods: This quantitative study…

Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…

The popularity of Internet usage and the diverse and rich information available online make it easier for students to engage in academic misconduct, especially Internet plagiarism (IP). Therefore, this study investigated the IP intention of Chinese students and analyzed the influence of gender, educational level, achievement goals (AG), low…

Randomized response techniques (RRTs) are applied to reduce response biases in self-report surveys on sensitive research questions (e.g., on socially undesirable characteristics). However, there is evidence that they cannot completely eliminate self-protecting response strategies. To address this problem, there are RRTs specifically designed to…

It's well-known that motivation is essential for learning and how well students do in school. Research also suggests that a student's motivation is likely connected to their behavior in the classroom. This study was particularly interested in understanding how different types of student motivation (e.g., wanting to learn vs. wanting to look good)…

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…

Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…