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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Vered Heruti – Multicultural Education Review, 2025
Visual meaning-making allows for multicultural understanding. This study examines how visual research using digital visual platforms, especially AI image generation, enhances multicultural meaning-making. The case study is a course on 'Visual Text: Culture, Arts, and Education' in a teacher art education programme in Israel, attended by students…
Descriptors: Artificial Intelligence, Visual Aids, Cultural Pluralism, Art Education
Sandra Camargo Salamanca; Maria Elena Oliveri; April L. Zenisky – International Journal of Testing, 2025
This article describes the 2022 "ITC/ATP Guidelines for Technology-Based Assessment" (TBA), a collaborative effort by the International Test Commission (ITC) and the Association of Test Publishers (ATP) to address digital assessment challenges. Developed by over 100 global experts, these "Guidelines" emphasize fairness,…
Descriptors: Guidelines, Standards, Technology Uses in Education, Computer Assisted Testing
Zhongzhou Chen; Tong Wan – Physical Review Physics Education Research, 2025
This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student written responses to introductory level physics problems. Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual…
Descriptors: Grading, Technology Uses in Education, Student Evaluation, Science Education
Shu-Jie Chen; Xiaofen Shan; Ze-Min Liu; Chuang-Qi Chen – Educational Technology & Society, 2025
The introduction of programming education in K-12 schools to promote computational thinking has attracted a great deal of attention from scholars and educators. Debugging code is a central skill for students, but is also a considerable challenge when learning to program. Learners at the K-12 level often lack confidence in programming debugging due…
Descriptors: Programming, Coding, Elementary School Students, Secondary School Students
Manuela Farinosi; Claudio Melchior – European Journal of Education, 2025
Artificial intelligence (AI) tools have the potential to revolutionise educational practices, but their use raises ethical and organisational concerns for higher education institutions (HEIs). We investigated Italian students' perception and usage of AI tools at the University of Udine using questionnaires (N = 531) with fixed and open-ended items…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Computer Attitudes
Shijie Li; Jie Lin – European Journal of Education, 2025
The rapid growth of artificial intelligence (AI) has transformed the educational field by providing efficient assistance for personalised learning. Despite the promising opportunities AI has presented, the impact of AI tools on students' learning outcomes in language learning settings has yet to be further explored, as well as their potential to…
Descriptors: Learner Engagement, Psychological Needs, Student Needs, Student Satisfaction
Desy K. Sari; Supahar Supahar; Dadan Rosana; Pri A. C. Dinata; Muhammad Istiqlal – Journal of Pedagogical Research, 2025
As artificial intelligence [AI] increasingly permeates various sectors--including education, economics, healthcare, and government--a comprehensive understanding of this technology becomes essential. This analysis aims to identify four dimensions of AI literacy--awareness, usage, evaluation, and ethics--among Indonesian higher education students…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Foreign Countries
Chun-Hua Hsiao; Kai-Yu Tang – Education and Information Technologies, 2025
The rapid development of generative AI (GenAI), such as ChatGPT, has created both opportunities and challenges for its use in education. Some educators have expressed concern that such rapid report generation from AI may encourage cheating or hinder the development of critical thinking skills in students. Moving beyond mere acceptance, we propose…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Ethics
Runping Zhu; Xiujie Wang; Xinxin Yu; Philip Wing Keung Chan – Education and Information Technologies, 2025
As artificial intelligence (AI) makes inroads into all aspects of work, the need for training in the use of AI should be self-evident. Often, however, education institutions lag in incorporating these new skills into the curriculum. Drawing on previous research, this paper develops a bespoke model to investigate how three groups of factors --…
Descriptors: Foreign Countries, College Students, Student Attitudes, Journalism Education
Yujie Han; Sumin Hong; Zhenyan Li; Cheolil Lim – TechTrends: Linking Research and Practice to Improve Learning, 2025
This scoping review investigates the roles of intelligent learning companion systems (LCS) within educational settings, as well as the presences artificial intelligence (AI) embodies within these roles, and their application in education. Employing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for…
Descriptors: Artificial Intelligence, Definitions, Classification, Technology Uses in Education
Tao Xu; Yuan Liu; Yaru Jin; Yueyao Qu; Jie Bai; Wenlan Zhang; Yun Zhou – British Journal of Educational Technology, 2025
Generative AI (GAI) and AI-generated content (AIGC) have been increasingly involved in our work and daily life, providing a new learning experience for students. This study examines whether AI-generated instructional videos (AIIV) can facilitate learning as effectively as traditional recorded videos (RV). We propose an instructional video…
Descriptors: Artificial Intelligence, Video Technology, Audiovisual Aids, Audiovisual Instruction
Suthinanth Rattanachotithavorn; Pattarawat Jeerapattanatorn – Journal of Education and Learning, 2025
This review article examines the emerging trends in business education to address the rapidly evolving demands of a global, technology-driven economy. The study systematically analyzed 64 research articles from academic databases, of which 28 high-quality studies met the inclusion criteria based on their direct relevance to business education and…
Descriptors: Business Education, Educational Trends, Educational Research, Artificial Intelligence
Debika Sihi; Abigail Ryan – Marketing Education Review, 2025
The rapid adoption and evolution of generative artificial intelligence (AI) tools like ChatGPT and Gemini have impacted marketing education and practice. This paper introduces a prompt engineering assignment that utilizes generative AI to build critical thinking skills through the development of keyword research strategies, customer profiles, and…
Descriptors: Marketing, Business Education, Artificial Intelligence, Technology Uses in Education

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