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Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Mohamed M. Mostafa – Interactive Learning Environments, 2023
Interactive Learning Environments (ILE) is a leading international journal in the design and use of interactive learning environments. In this study we conduct a comprehensive bibliometric analysis spanning three decades to objectively examine the journal's impactful authors, citation patterns, collaboration networks and emerging trends.…
Descriptors: Bibliometrics, Network Analysis, Developing Nations, Developed Nations
Lu, Jijian; Zhang, Xiaojie; Stephens, Max – Interactive Learning Environments, 2019
This study aims to visualize the commognitive processes in computer-supported one-to-one teaching and learning. By commognitive processes we mean cognitive processes and interpersonal communication. A 6-years mathematics teacher and a 15-year-old boy in China, who have done computer-supported one-to-one tutoring, were chosen to be the samples. We…
Descriptors: Communication (Thought Transfer), Learning Processes, Computer Assisted Instruction, Tutoring

Towne, Douglas M.; And Others – Interactive Learning Environments, 1990
Explains the Intelligent Maintenance Training System that allows a nonprogramming subject matter expert to produce an interactive graphical model of a complex device for computer simulation. Previous simulation-based training systems are reviewed; simulation algorithms are described; and the student interface is discussed. (Contains 24…
Descriptors: Algorithms, Artificial Intelligence, Authoring Aids (Programming), Computer Assisted Instruction

Murray, Tom; And Others – Interactive Learning Environments, 1990
Describes an intelligent tutoring system designed to help students remedy misconceptions of physics concepts based on a teaching strategy called bridging analogies. Highlights include tutoring strategies; misconceptions in science education; the example situation network; confidence checking; formative evaluation with college students, including…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Confidence Testing, Formative Evaluation

Mitchell, Christine M.; Govindaraj, T. – Interactive Learning Environments, 1990
Discusses the use of intelligent tutoring systems as opposed to traditional on-the-job training for training operators of complex dynamic systems and describes the computer architecture for a system for operators of a NASA (National Aeronautics and Space Administration) satellite control system. An experimental evaluation with college students is…
Descriptors: Analysis of Variance, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence

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