The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…

The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…

This study aims to analyze the learning resources of Islamic boarding schools written by kyai and santri (teacher and student of Islamic boarding school in Indonesia). This study uses a qualitative approach with a literature study design. The literature sources come from (limited by) seven books written by Kai and Santri at the Lirboyo Islamic…

Implementation planning is a consultative educator support strategy with preliminary evidence of effectiveness from single-case design research. This meta-analysis investigates the impacts of implementation planning on educator implementation and student outcomes and explores moderators of these relationships. Principles of open science and…

Objective: Violations of academic integrity are still common, and their incidence tends to increase in line with the rise of publications on professionalism. This study aims to investigate the relationship between self-regulated learning, cognitive function, and stress levels on the academic integrity of medical students. Methods: Using…

The literature suggests that a whole-institution culture of academic integrity is needed in order to prevent academic integrity breaches. It is also suggested that the national cultures and individual backgrounds of academic staff and students can impact on their propensity to breach academic integrity policies and on their uptake of initiatives…

This experiment used a pyramidal training model to evaluate the effects of behavioral skills training (BST), delivered in a 1-time group-training format, on the extent to which 25 human service staff implemented BST when training others how to implement behavioral procedures. Results indicated that (a) the training workshop increased BST integrity…

In this article, we investigate the critical intersections of AI, academic integrity, and disability in the context of a large undergraduate course. Our aim was to adapt the course to respond to generative AI (GenAI) to avoid entrenching barriers for students, and instead teach them how to use GenAI tools in ways that deepen their learning and…

This study examines postsecondary education (PSE) students' perspectives on postplagiarism--a framework that reconceptualizes academic integrity in response to generative artificial intelligence (GenAI). Through a quantitative survey of 581 PSE students across five English-speaking countries, the research investigated student responses to the six…

Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…

Canadian colleges and polytechnics have been neglected in research on academic integrity, with some exceptions. Therefore, we examined academic integrity policy documents (N = 36) from 16 publicly-funded colleges and polytechnics in Alberta and Manitoba, Canada, replicating a qualitative research design used in previous research. Data were…

The rapid rise of Generative AI in education has brought transformative potential. However, there is limited empirical insight into the factors influencing students' use of these tools and their impact on academic performance. Specifically, research has not thoroughly examined how task-technology fit and behavioral factors shape Generative AI…

As artificial intelligence (AI) rapidly transforms higher education, faculty are increasingly expected to integrate AI tools into curriculum design, assessment, and instruction, often without adequate preparation. This article examines how Centers for Teaching and Learning (CTLs) can effectively support faculty adopting AI technologies through…

Using a qualitative, multiple cross-sectional research design, this study investigated the evolving perspectives on the use of artificial intelligence (AI) and academic integrity between two cohorts of English as a Foreign Language learners (n = 48 and n = 96, respectively) enrolled in an English Language Preparatory Program at a Turkish…

Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…