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Chantelle Gray – Educational Philosophy and Theory, 2025
In contemporary societies, the processes of transindividuation by which knowledges are transformed into cycles and rhythms of metastability have been dramatically short-circuited. In turn, this has provoked the spiritual misery and pseudo-fabulations so prevalent all around us, including our educational contexts. For Stiegler, this is nothing…
Descriptors: Educational Philosophy, Electronic Learning, Automation, Educational Theories
Rhonda Bondie; Elizabeth City – Learning Professional, 2024
New questions and concerns arise every day about the impact of AI in schools, such as how teachers will learn about AI and leverage it in their classrooms, how they can use it to develop their own teaching expertise, and if AI for educators really leads to better teaching and learning. The authors believe that AI can help teachers become more…
Descriptors: Preservice Teacher Education, Artificial Intelligence, Computer Simulation, Microteaching
Murphy, Michelle Pauley; Hung, Woei – TechTrends: Linking Research and Practice to Improve Learning, 2023
One hundred years ago, Paul Weiss and Ludwig von Bertalanffy independently proposed that living organisms interact with their environment through systems. In the century that has followed, systems thinking and modeling have grown in tandem with discovery of the vast complexity of the universe at microscopic through astronomic levels. As our…
Descriptors: Systems Approach, Cognitive Processes, Artificial Intelligence, Learning Processes
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Conrad Oh-Young; Michael Karlin – TEACHING Exceptional Children, 2025
ChatGPT, an artificial intelligence (AI) large language model system, has taken the world by storm. Fearful that students would use ChatGPT to circumvent the learning process, multiple school districts in the U.S. have outright banned its use. Despite this, there are some who suggest that ChatGPT has the potential to reshape the field of education…
Descriptors: Early Childhood Education, Special Education, Artificial Intelligence, Computer Software
Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
Emmanuel Dumbuya – Online Submission, 2025
The integration of artificial intelligence (AI) into educational ecosystems represents a paradigm shift in pedagogical practices and educational governance. While AI offers unprecedented opportunities to personalize learning, optimize administrative processes, and provide intelligent tutoring, it poses significant challenges to maintaining human…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Technology Integration
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Downes, Stephen – Asian Journal of Distance Education, 2022
Connectivism is the thesis that knowledge is constituted of the sets of connections between entities, such that a change in one entity may result in a change in the other entity, and that learning is the growth, development, modification or strengthening of those connections. This paper presents an overview of connectivism, offering a connectivist…
Descriptors: Learning Theories, Social Networks, Learning Processes, Artificial Intelligence
Pérez-Núñez, Antonio – Hispania, 2023
ChatGPT employs a deep learning (DL) model constructed using artificial neural networks and designed to analyze input data and extract increasingly complex features (Hu and Buehler 2023). Its chatbot interface makes it easy to use, requiring just a prompt to generate a response from the model. It is capable of producing fluent text in multiple…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Artificial Intelligence
Shayan Doroudi – Journal of the Learning Sciences, 2023
When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…
Descriptors: Interdisciplinary Approach, Educational Research, Man Machine Systems, Learning Processes
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Mohammed Airaj – Education and Information Technologies, 2024
This paper proposes a human-centered approach to using Artificial Intelligence (AI) in higher education that promotes equitable access to knowledge while preserving privacy and ethics. Through the lens of third-generation Activity Theory we examine the interaction between three activity systems in higher education: AI teachers, human teachers, and…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Higher Education
Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes