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Anett Wolgast; Stefan Bieletzke – European Journal of Psychology and Educational Research, 2025
Research on academic outcomes has extensively explored students' emotions, motivation, and learning behavior. While further research highlights the role of individual interactions with generative artificial intelligence (AI), a gap exists in understanding the longitudinal dynamic associations between university students' interactions with AI…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Computer Uses in Education
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Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
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Mark Featherstone – Review of Education, Pedagogy & Cultural Studies, 2025
In this piece I outline the history of the university in terms of a shift from a place concerned with the contemplation of the unknowable and the infinite to a machine focused on instrumental rationality, calculation, and computation. Reading this history through Lyotard's work on the post-modern condition and the emergence of the knowledge…
Descriptors: Universities, Artificial Intelligence, Educational Principles, Educational Objectives
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Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
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Michael D'Addario – Discover Education, 2025
With the proliferation of easy-to-use generative AI tools such as ChatGPT, students in college composition courses can and do take advantage of such technology to assist with essay writing. While a growing body of research does not see using these tools as a problem in itself, institutional, departmental, and instructor policies about generative…
Descriptors: Taxonomy, Language Usage, Artificial Intelligence, Computer Software
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Valentin A. Dzedik; Jaroslava V. Švarc-Gajic – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
We elaborated on the concept of smart regions in Russia with a special emphasis on the possibility to deal with the divide between the work market and the university education market in these systems. Attention was also paid to the possibility of using the leading experience of such systems in other regions of Russia, as well as using the…
Descriptors: Foreign Countries, Higher Education, Labor Market, Outcomes of Education
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Yao Qu; Jue Wang – Journal of Academic Ethics, 2025
Generative artificial intelligence (GenAI) tools like ChatGPT are reshaping higher education, raising concerns about academic integrity alongside potential benefits. The psychological tension accompanying the decision whether to use GenAI or not for a particular task may lead to "AI guilt"--students' moral discomfort when using GenAI for…
Descriptors: Foreign Countries, Higher Education, College Students, Artificial Intelligence
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Alireza Azimpour; Parisa Abdolrezapour; Sheyda Beshardeh; Marzieh Dashtakipour; Sahar Ravesh – Journal of Academic Ethics, 2025
In Iran's education curriculum, there is a great emphasis on teaching religion-related moral values. The present longitudinal study examined changes in moral and moral-related variables among some Iranian university students. 90 Iranian university students completed a battery of scales comprising prosocial behaviors, prosocial moral reasoning,…
Descriptors: Foreign Countries, College Students, Religious Factors, Moral Values
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Balázs Fajt; Emese Schiller – Journal of Academic Ethics, 2025
This mixed-methods study examines the integration of ChatGPT within academic discourse, focusing on its role in education. ChatGPT, an AI chatbot using the GPT model, offers significant benefits such as enhanced plagiarism detection and improved accuracy in academic work. However, it also presents ethical challenges related to academic integrity.…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Hatoon S. AlSagri; Faiza Farhat; Shahab Saquib Sohail; Abdul Khader Jilani Saudagar – Journal of Academic Ethics, 2025
The rapid evolution of scientific research has created a pressing need for efficient and versatile tools to aid researchers. While using artificial intelligence (AI) to write scientific articles is unethical and unreliable due to the potential for inaccuracy, AI can be a valuable tool for assisting with other aspects of research, such as language…
Descriptors: Artificial Intelligence, Computer Software, Comparative Analysis, Technical Writing
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Koen Suzelis; Gabriel Mott; John Curiel – Journal of Academic Ethics, 2025
Student evaluations of teaching (SET) act as the primary means to gauge instructor effectiveness. Likewise, SETs provide the primary qualitative feedback to instructors via student comments. However, mostly students with strong feelings tend to write comments. Among the most recallable are toxic comments: comments that are unhelpful/hurtful in…
Descriptors: Student Evaluation of Teacher Performance, Automation, Identification, Student Attitudes
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Nilupulee Liyanagamage; Elvira Asylguzhina; Prakash Vel; Zeenath Reza Khan; Mario Fernando; Thomas Lancaster – Journal of Academic Ethics, 2025
Contract cheating remains an academic integrity concern in higher education institutions, and scholarly studies in this area have continued to increase. While highly informative systematic literature reviews on contract cheating exist, they have mainly focused on the concept of contract cheating, causal factors, and prevention strategies through…
Descriptors: Literature Reviews, Higher Education, Cheating, Outsourcing
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Michelle Ronksley-Pavia; Steven Ronksley-Pavia; Chris Bigum – Journal of Advanced Academics, 2025
In many general education classrooms across the world, educators struggle to meet the educational needs of twice-exceptional and multi-exceptional neurodivergent learners, with their confluence of exceptional strengths and exceptional challenges. This article reports the process, findings, and implications of research that implemented a series of…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Twice Exceptional, Gifted Education
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Aaron Wolf – Educational Theory, 2025
Much has been written about how to improve the fairness of AI tools for decision-making but less has been said about how to approach this new field from the perspective of philosophy of education. My goal in this paper is to bring together criteria from the general algorithmic fairness literature with prominent values of justice defended by…
Descriptors: Algorithms, Artificial Intelligence, Technology Uses in Education, Educational Philosophy
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Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
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