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Guido Lang; Tamilla Triantoro; Jason H. Sharp – Journal of Information Systems Education, 2024
This study explores the potential of large language models (LLMs), specifically GPT-4 and Gemini, in generating teaching cases for information systems courses. A unique prompt for writing three different types of teaching cases such as a descriptive case, a normative case, and a project-based case on the same IS topic (i.e., the introduction of…
Descriptors: Computational Linguistics, Computer Software, Artificial Intelligence, Readability Formulas
Shuling Yang; Guy Trainin; Carin Appleget – Reading Teacher, 2025
The advent of Generative AI technologies, such as ChatGPT, in November 2022, necessitated immediate and critical attention from the educational research community. The impact of GenAI in education, though not yet clear, has the potential to be transformative. More specifically, the focus of this paper is on how to integrate GenAI into elementary…
Descriptors: Cues, Artificial Intelligence, Computer Software, Technology Uses in Education
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Surahman, Ence; Wang, Tzu-Hua – Journal of Computer Assisted Learning, 2022
Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…
Descriptors: Ethics, Trust (Psychology), Computer Assisted Testing, Educational Technology
Kumar, Nitin; Jain, Anuj – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper proposes a new approach to developing a deep learning-based prototyping wearable model which can assist blind and visually disabled people to recognize their environments and navigate through them. As a result, visually impaired people will be able to manage day-to-day activities and navigate through the world around them…
Descriptors: Visual Impairments, Blindness, Navigation, Adjustment (to Environment)
Weber, Felix – International Association for Development of the Information Society, 2022
Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…
Descriptors: Goal Orientation, Computer Software, Artificial Intelligence, Universities
Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving
Edwin Gonzalo Vargas; Andrés Chiappe; Julio Durand – Journal of Social Studies Education Research, 2024
This review explores how artificial intelligence (AI henceforth) can reshape education through insights from situated learning literature. The objective was to critically examine opportunities and challenges of situated learning, and how AI could augment strengths while overcoming obstacles. A systematic review using the PRISMA method analyzed 60…
Descriptors: Artificial Intelligence, Situated Learning, Computer Software, Technology Uses in Education
Sri Sarwanti; Yanti Sariasih; Laily Rahmatika; M. Monjurul Islam; Eka Mustika Riantina – Online Learning, 2024
Despite the promising potential of artificial intelligence (AI) tools like ChatGPT for enhancing the learning experience, its integration as an educational tool in higher education poses disruptions that could affect students. This study explored university language students' usage, awareness, readiness, concerns, and perceived benefits and…
Descriptors: College Second Language Programs, Artificial Intelligence, Computer Software, Synchronous Communication
Younglong Kim; Katherine A. Curry; Ashlyn M. Fiegener – Journal of School Administration Research and Development, 2024
Educational leaders are faced with multi-faceted dilemmas that place decision-making at the heart of their day-to-day work. For support, they often turn to collaborative networks of experienced educators, such as Project ECHO, for solutions to address challenges they encounter while working in the field. The availability of generative AI…
Descriptors: Artificial Intelligence, Natural Language Processing, Barriers, Educational Practices
Tatiana Chaiban; Zeinab Nahle; Ghaith Assi; Michelle Cherfane – Discover Education, 2024
Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…
Descriptors: Medical Education, Accuracy, Artificial Intelligence, Computer Software
Esmaeil Jafari – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence (AI) has created new opportunities, challenges, and potentials in teaching; however, issues related to the philosophy of using AI technology in learners' learning have not been addressed and have caused some issues and concerns. This issue is due to the research gap in addressing issues related to ethical and…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, College Faculty
Zilong Zhong; Hui Guo; Kun Qian – Education and Information Technologies, 2024
This study leverages bibliometric analysis through the bibliometrix R-package to dissect the expansive influence of machine learning on education, a field where machine learning's adaptability and data-processing capabilities promise to revolutionize teaching and learning methods. Despite its potential, the integration of machine learning in…
Descriptors: Bibliometrics, Programming Languages, Artificial Intelligence, Technology Uses in Education
Youngjin Lee – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…
Descriptors: Community Attitudes, Artificial Intelligence, Discourse Analysis, Computer Mediated Communication