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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
Yunting Liu; Shreya Bhandari; Zachary A. Pardos – British Journal of Educational Technology, 2025
Effective educational measurement relies heavily on the curation of well-designed item pools. However, item calibration is time consuming and costly, requiring a sufficient number of respondents to estimate the psychometric properties of items. In this study, we explore the potential of six different large language models (LLMs; GPT-3.5, GPT-4,…
Descriptors: Artificial Intelligence, Test Items, Psychometrics, Educational Assessment
Ainhoa Martínez-Rodríguez; Camino Ferreira – European Journal of Psychology of Education, 2025
Emotional intelligence is an element that affects people's daily lives, so it is necessary to know what factors influence the development of emotional intelligence. This systematic review both analyses the main characteristics of scientific articles on the factors that influence the emotional intelligence of university students and identifies the…
Descriptors: Literature Reviews, College Students, Emotional Intelligence, Social Emotional Learning
Jon-Philippe K. Hyatt; Elisa Jayne Bienenstock; Carla M. Firetto; Elizabeth R. Woods; Robert C. Comus – Advances in Physiology Education, 2025
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable from human-derived work. Instructors must rely on intuition/experience and, recently, assistance from…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Writing Skills
Nicole B. Reinke; Ann L. Parkinson; Georgia R. Kafer – Advances in Physiology Education, 2025
Freely accessible generative artificial intelligence (GenAI) poses challenges to physiology education regarding learning and academic integrity. Although many studies have explored the capabilities of GenAI to complete assessments, few have implemented educative activities to highlight GenAI risks and benefits or explored physiology students'…
Descriptors: Tutoring, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Samson Damilola Fabiyi – Innovations in Education and Teaching International, 2025
This paper examines ChatGPT's capability in evaluating educational learning outcomes, investigating its effectiveness in assessing SMART criteria alignment and identifying the presence of fundamental components. The hypothesis posits that ChatGPT can proficiently accomplish these tasks, offering potential benefits to educational design and…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Evaluation
Eunhye Flavin; Sunghwan Hwang; Melita Morales – Journal of Teacher Education, 2025
Generative artificial intelligence (AI)-powered conversation agents such as ChatGPT are increasingly being used in teacher education. Although ChatGPT can provide ample resources for lesson planning, little attention has been paid to how teacher candidates construct prompts and evaluate AI-generated outputs in real time to develop lesson plans.…
Descriptors: Preservice Teachers, Mathematics Instruction, Lesson Plans, Natural Language Processing
Mary Rice – Technology, Pedagogy and Education, 2025
While the use of generative AI (genAI) in K12 schools is increasing, it is poorly understood from a policy perspective. There are significant tensions in technology integration in education between public interests for social good and pressure from educational technology companies to view schools as markets. This study examined genAI policy…
Descriptors: School District Size, Board of Education Policy, Artificial Intelligence, Elementary Secondary Education
Kristina Turner; Asanka N. Gunasekara; Fung Chorng Yuan; Con Stough – Curriculum Journal, 2025
Universities have an important role to play in developing 21st century competencies in graduates. Literature shows that Emotional Intelligence (EI) could be crucial in developing these graduate attributes. This study used an exploratory thematic analysis in which we integrate information from 40 Australian universities' websites that outline their…
Descriptors: Emotional Intelligence, 21st Century Skills, Web Sites, Universities
Mengrong Han; Hasri Mustafa; Saira Kharuddin – Journal of Pedagogical Research, 2025
This study investigates the adoption and usage of artificial intelligence (AI) technologies among Chinese undergraduate accounting students, focusing on the roles of Social Influence (SI), Behavioral Intention (BI), and Actual Usage (AU), while examining the mediating effect of BI and the moderating effect of Voluntariness of Use (VOU). By…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Accounting
Deliang Wang; Yaqian Zheng; Jinjiang Li; Gaowei Chen – IEEE Transactions on Learning Technologies, 2025
Researchers have increasingly utilized artificial intelligence to automatically analyze classroom dialogue, aiming to provide timely feedback to teachers due to its educational significance. However, traditional machine learning and deep learning models face challenges, such as limited performance and lack of generalizability, across various…
Descriptors: Classroom Communication, Computational Linguistics, Cues, Generalization
Anass Bayaga – International Journal of Technology in Education, 2025
This investigation explored the role of artificial intelligence (AI)-powered gamification on mathematics cognition through a mixed-methods design, blending an intervention with a gamified learning application (app) and a survey to evaluate student engagement and performance. The study explores the nexus of gamification, AI, and mathematics…
Descriptors: Artificial Intelligence, Problem Solving, Game Based Learning, Mathematics Instruction
Qian Wang; Shiwang Hou; Sixian Wan; Xin Feng; Hao Feng – European Journal of Education, 2025
To prepare undergraduates for complex careers, interdisciplinary higher education is gaining popularity. However, implementing interdisciplinary learning in engineering management is challenging due to the complex and intertwined knowledge structures. While smart education platforms provide access to extensive knowledge bases, the intricate web of…
Descriptors: Undergraduate Students, Higher Education, Interdisciplinary Approach, Engineering Education
Jay Fie Paler Luzano – International Journal of Technology in Education, 2025
This study investigated the role of ChatGPT-assisted data analysis in mathematics education research within the post-modern scholarly milieu using a scoping review approach. This examined how ChatGPT contributes to ethical, reliable, rigorous, and context-sensitive data analysis in mathematics education research. The findings reveal five (5)…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Research, Data Analysis
Hardiyanti Pratiwi; Agus Riwanda; Hasruddin Hasruddin; Sujarwo Sujarwo; Amir Syamsudin – Journal of Pedagogical Research, 2025
The emergence of artificial intelligence (AI) in education offers significant potential to enhance personalized learning, feedback, and instructional strategies. However, its effectiveness depends on educators' practices and students' capabilities, especially in rural contexts where the digital divide presents challenges. This qualitative study…
Descriptors: Teacher Attitudes, Barriers, Artificial Intelligence, Technology Integration

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