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Alexander K. Kofinas; Crystal Han-Huei Tsay; David Pike – British Journal of Educational Technology, 2025
Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Integrity, Performance Based Assessment
Nicolas J. Tanchuk – Educational Theory, 2025
Artificial intelligence companies and researchers are currently working to create Artificial Superintelligence (ASI): AI systems that significantly exceed human problem-solving speed, power, and precision across the full range of human solvable problems. Some have claimed that achieving ASI -- for better or worse -- would be the most significant…
Descriptors: Artificial Intelligence, Problem Solving, Accuracy, Digital Literacy
Gideon Dishon – Educational Theory, 2025
The emergence of ChatGPT, and other generative AI (GenAI) tools, has elicited dystopian and utopian proclamations concerning their potential impact on education. This paper suggests that responses to GenAI are based on often-implicit perceptions of naturalness and artificiality. To examine the depiction and function of these concepts, Gideon…
Descriptors: Artificial Intelligence, Learning Processes, Educational Benefits, Barriers
Ethan O. Nadler; Douglas Guilbeault; Sofronia M. Ringold; T. R. Williamson; Antoine Bellemare-Pepin; Iulia M. Com?a; Karim Jerbi; Srini Narayanan; Lisa Aziz-Zadeh – Cognitive Science, 2025
Can metaphorical reasoning involving embodied experience--such as color perception--be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might contribute to the metaphorical understanding of color.…
Descriptors: Color, Painting (Visual Arts), Natural Language Processing, Figurative Language
Darmu'in; Nasikhin; Darnoto; Muhammad Anas Maarif; Aji Sofanudin; Joko Tri Haryanto – Journal of International Students, 2025
This study explores the factors that limit Malaysian international students' interest in using ChatGPT as a learning tool for Islamic Studies in Indonesia. Employing a qualitative narrative inquiry design, data were collected through in-depth interviews with students who possess Islamic educational backgrounds. The findings indicate three key…
Descriptors: Foreign Countries, Foreign Students, Student Attitudes, Barriers
Benjamin Panmei – International Journal of Multicultural Education, 2025
This study investigates generative artificial intelligence (GAI) use among international undergraduates in multicultural educational settings at a Thai university. Using narrative inquiry with 64 students from 10 countries, it explores students' discourses and practices around GAI. A deductive thematic analysis revealed key themes: Benefits in…
Descriptors: Artificial Intelligence, Foreign Students, Undergraduate Students, Multicultural Education
Rodrigo Ferreira – Learning, Media and Technology, 2025
As educators have begun to investigate new ways to promote student productivity and creativity by 'co-creating' with generative AI (GenAI), scholars have simultaneously warned against attributing creativity to GenAI given potential risks that anthropomorphizing AI could result in undermining the value of human creativity or in encouraging current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Climate, Creativity
The Relationship between Students' Self-Regulated Learning Skills and Technology Acceptance of GenAI
Negin Mirriahi; Rebecca Marrone; Abhinava Barthakur; Florence Gabriel; Jill Colton; Ting Nga Yeung; Peter Arthur; Vitomir Kovanovic – Australasian Journal of Educational Technology, 2025
Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by…
Descriptors: Artificial Intelligence, College Students, Adoption (Ideas), Computer Uses in Education
Ismiatun; Farida Nurani; Agung Suprapto – IAFOR Journal of Education, 2025
This systematic literature review addresses the increasing difficulty society faces in distinguishing factual and misleading information in the digital age. Public trust in information institutions, including libraries, is eroding, impacting decision-making and social polarization. While previous research has examined the role of libraries,…
Descriptors: Libraries, Library Science, Misinformation, Trust (Psychology)
Chryssoula Karakitsou; Irene Karayianni; Konstantinos Leftheriotis; Anastasia Logotheti; Maria D. Avgerinou – Journal of Visual Literacy, 2025
Developments in Generative Artificial Intelligence (GenAI) in Higher Education (HE) have sparked debates regarding its potential to enhance teaching, learning, and administrative processes while raising concerns about ethical, pedagogical, and institutional implications. This qualitative case study explored faculty perceptions of GenAI through…
Descriptors: Artificial Intelligence, College Faculty, Teacher Attitudes, Technology Uses in Education
Damanpreet Kaur; Hemant Sharma – Journal of Education and Learning (EduLearn), 2025
This paper aims to examine the variables involved in improving Teacher effectiveness through self-efficacy (SE) while focusing on higher education. The authors collected data from 600 usable responses from Northern India. The data was analyzed by structural equation modelling using analysis of moment structures (AMOS). The results indicate that…
Descriptors: Foreign Countries, Teacher Effectiveness, Self Efficacy, College Faculty
Mehmet Aydeniz – International Journal of Technology in Education and Science, 2025
The rapid integration of generative artificial intelligence (GenAI) tools into higher education has prompted both enthusiasm and concern among faculty members. While AI tools such as ChatGPT, Claude, and Scite.ai offer significant pedagogical benefits--including enhanced efficiency, personalized learning, and automated instructional support--they…
Descriptors: Artificial Intelligence, College Faculty, Teacher Attitudes, Technology Uses in Education
Ali Hasbi Ramadani; Ekohariadi; Lilik Anifah; Ratna Suhartini; Heru Arizal; Imami Arum Tri Rahayu; Yuli Sutoto Nugroho – Journal of Education and Learning (EduLearn), 2025
Today's industry requires graduates of mechanical engineering expertise programs who have high creativity. The purpose of this study is to describe how the influence of spatial intelligence, adversity intelligence, on the creativity of vocational students of the mechanical engineering expertise program. The urgency of this research is as a basis…
Descriptors: Spatial Ability, Multiple Intelligences, Creativity, Career and Technical Education
Kaitlin A. Lucas; Alberto Lioy – Journal of Interactive Media in Education, 2025
Rich metaphors abound within the growing AI literacy research landscape, and there is no better place to look for them than within the rapidly proliferating number of AI literacy frameworks. Conceptual metaphors and AI literacy frameworks, which outline the skills, competencies, and dispositions needed to engage critically with AI, complement each…
Descriptors: Artificial Intelligence, Technological Literacy, Figurative Language, Higher Education
Chaewon Lee; Lan Luo; Shelbi L. Kuhlmann; Robert D. Plumley; Abigail T. Panter; Matthew L. Bernacki; Jeffrey A. Greene; Kathleen M. Gates – Journal of Learning Analytics, 2025
The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…
Descriptors: Electronic Learning, Prediction, Data Analysis, Artificial Intelligence

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