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Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
A Comparison of Generative AI Solutions and Textbook Solutions in an Introductory Programming Course
Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Olena Bolgova; Paul Ganguly; Volodymyr Mavrych – Anatomical Sciences Education, 2025
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…
Descriptors: Comparative Analysis, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
Tosin Ekundayo; Zafarullah Khan; Shahid Ali Chaudhry – Educational Process: International Journal, 2024
Background/Purpose: The integration of ChatGPT within higher education holds significant potential for enhancing learning through personalized, adaptive, and interactive educational experiences. This study's aims were to investigate how academic engagement with ChatGPT in higher education has evolved within the Gulf Cooperation Council (GCC)…
Descriptors: Foreign Countries, Literature Reviews, Artificial Intelligence, Educational Trends
Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
Guohui Xing; Xiaofeng Luo – International Journal of Distance Education Technologies, 2025
This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then…
Descriptors: Instructional Innovation, Artificial Intelligence, Political Attitudes, Computer Software
Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Özge Kübra Yilmaz; Selami Aydin – Reading Research Quarterly, 2025
Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…
Descriptors: Reading Materials, Reading Motivation, English (Second Language), Second Language Learning
Peng Wang; Kexin Yin; Mingzhu Zhang; Yuanxin Zheng; Tong Zhang; Yanjun Kang; Xun Feng – Education and Information Technologies, 2025
In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…
Descriptors: Critical Thinking, Skill Development, Artificial Intelligence, Computer Software
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Sema Kara – International Journal of Modern Education Studies, 2025
The aim of this study is to investigate the effects of artificial intelligencesupported teaching practices on students' attitudes and course outcomes in the visual arts course at the 6th grade level of secondary school. The research was conducted in a private middle school in Mersin province, Turkey, in the second semester of the 2023-2024…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Attitude Measures