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Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
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Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
Anthony G. Picciano – Routledge, Taylor & Francis Group, 2025
"Online Education" is a comprehensive exploration of fully online and blended teaching platforms, addressing history, theory, research, planning, and practice. As colleges, universities, and schools around the world accelerate their adoption of large-scale technologies and traditional class models shift into seamless, digitally…
Descriptors: Electronic Learning, Online Courses, Educational Planning, Educational Practices
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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Mahon, Jennifer; Bryant, Bobby; Brown, Ben; Kim, Miran – Educational Media International, 2010
The following article discusses an educational simulation created within Second Life (SL) in order to assist pre-service teachers (PSTs) in gaining more experience managing student behavior. The article discusses the development, implementation, and assessment of the simulation as well as student data on the feasibility of the approach in…
Descriptors: Classroom Techniques, Preservice Teacher Education, Student Behavior, Discipline
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Ibanez, Maria Blanca; Garcia, Jose Jesus; Galan, Sergio; Maroto, David; Morillo, Diego; Kloos, Carlos Delgado – Educational Technology & Society, 2011
The best way to learn is by having a good teacher and the best language learning takes place when the learner is immersed in an environment where the language is natively spoken. 3D multi-user virtual worlds have been claimed to be useful for learning, and the field of exploiting them for education is becoming more and more active thanks to the…
Descriptors: Foreign Countries, Constructivism (Learning), Learning Strategies, Learning Experience
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McArthur, David; Lewis, Matthew; Bishary, Miriam – Journal of Educational Technology, 2005
This report begins by summarizing current applications of ideas from artificial intelligence (Al) to education. It then uses that summary to project various future applications of Al--and advanced technology in general--to education, as well as highlighting problems that will confront the wide­ scale implementation of these technologies in the…
Descriptors: Artificial Intelligence, Role Perception, Educational Objectives, Relevance (Education)