Purpose 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 …

This research conducts a thorough review of academic integrity in teacher education,
analysing the prevalence, reasons, and solutions for academic dishonesty. From an initial …

This study explores how computing science students (n= 335) use ChatGPT, their trust in its
information, their navigation of plagiarism issues, and their confidence in addressing …

This research aimed to identify patterns, intellectual structure, contributions, social
interactions, gaps, and future research directions in the field of academic integrity (AI). A …

Background Online exams have become a more common form of assessment at universities
due to the Covid‐19 pandemic. However, cheating behaviour in online exams is widespread …

This study aims to develop an academic integrity scale to help lecturers evaluate the
academic integrity of university students with peer-assessment learning experiences using …

Artificial Intelligence (AI) could encourage simulation of human intelligence in machines that
are programmed to perform tasks that typically require human intelligence. These tasks …

Concerns over students engaging in various forms of academic misconduct persist,
especially with the post-COVID19 rise in online learning and assessment. Research has …

Academic misconduct is ubiquitous, a fortiori during crisis periods. The present research
examines undergraduates' learning motivation, based on Self-Determination Theory and …

The latest advances in conversational artificial intelligence (CAI) systems that are available
to the general public have intensified the debate on cheating in online assessment in higher …