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Zembylas, Michalinos – Learning, Media and Technology, 2023
The aim of this article is to use decolonial thinking, as applied in the field of AI, to explore the ethical and pedagogical implications for higher education teaching and learning. The questions driving this article are: What does a decolonial approach to AI imply for higher education teaching and learning? How can educators, researchers and…
Descriptors: Decolonization, Artificial Intelligence, Higher Education, College Instruction
Kok-Sing Tang; Grant Cooper – Science & Education, 2025
The introduction of generative artificial intelligence (GenAI) tools like ChatGPT has raised many challenging questions about the nature of teaching, learning, and assessment in every subject area, including science. Unlike other disciplines, natural science is unique because the ontological and epistemological understanding of nature is…
Descriptors: Science Education, Artificial Intelligence, Physical Environment, Realism
Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Mahmoud M. S. Abdallah – Online Submission, 2025
The integration of Artificial Intelligence (AI) into education has heralded new paradigms for language learning, with conversational AI chatbots emerging as potent tools for fostering learner autonomy. Therefore, this article explores how conversational AI chatbots support and reinforce Self-Regulated Learning (SRL) in language acquisition. It…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Technology Integration, Second Language Learning
Ketamo, Harri; Suominen, Marko – Journal of Interactive Learning Research, 2010
This paper summarizes the pedagogical design, product development and empirical evaluations of the game series, Animal Class, in terms of design study. The design phases, as well as the evaluation phases (N=2718), were carried out between the years of 2005-2007. The pedagogical idea of Animal Class is to place a learner in the role of teacher in a…
Descriptors: Educational Games, Virtual Classrooms, Teacher Role, Animals
Han, Keun-Woo; Lee, EunKyoung; Lee, YoungJun – IEEE Transactions on Education, 2010
This paper analyzes the educational effects of a peer-learning agent based on pair programming in programming courses. A peer-learning agent system was developed to facilitate the learning of a programming language through the use of pair programming strategies. This system is based on the role of a peer-learning agent from pedagogical and…
Descriptors: Foreign Countries, Programming Languages, Learning Strategies, Teaching Methods

Bull, Susan – Computers & Education, 1994
Describes the student model of an intelligent computer-assisted language learning (CALL) system that is based on current theories in the field of second-language acquisition. Highlights include acquisition order of the target rules; language learning strategies; language transfer; language awareness; and student reactions. (Contains seven…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Higher Education, Language Research
White, Barbara Y.; Frederiksen, John R. – 1986
This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…
Descriptors: Artificial Intelligence, Cognitive Processes, Electric Circuits, Experiential Learning
Ohlsson, Stellan – 1990
Prior research on learning has been linked to instruction by the derivation of general principles of instructional design from learning theories. However, such design principles are often difficult to apply to particular instructional issues. A new method for relating research on learning to instructional design is proposed: Different ways of…
Descriptors: Arithmetic, Artificial Intelligence, Cognitive Processes, Computer Simulation

Shute, Valerie J.; Glaser, Robert – Interactive Learning Environments, 1990
Presents an evaluation of "Smithtown," an intelligent tutoring system designed to teach inductive inquiry skills and principles of basic microeconomics. Two studies of individual differences in learning are described, including a comparison of knowledge acquisition with traditional instruction; hypotheses tested are discussed; and the…
Descriptors: Artificial Intelligence, Cluster Analysis, Comparative Analysis, Computer Assisted Instruction