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JiYeon Hong; Kwihoon Kim – Education and Information Technologies, 2025
The advent of the 4th Industrial Revolution era requires the creation of new value through convergence rather than piecemeal use of technology. In that sense, the convergence of AI's learning ability and IoT connectivity makes it possible to build a more intelligent and automated system. Therefore, AI education in preparation for the era of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Internet, Digital Literacy
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Glaser, Robert – 1985
This paper briefly reviews research on tasks in knowledge-rich domains including developmental studies, work in artificial intelligence, studies of expert/novice problem solving, and information processing analysis of aptitude test tasks that have provided increased understanding of the nature of expertise. Particularly evident is the finding that…
Descriptors: Aptitude Tests, Artificial Intelligence, Cognitive Development, Cognitive Processes

Bass, Joel E. – Computers in the Schools, 1985
Examines and comments on Logo's educational rationale in light of Piagetian theory and recent studies in information-processing psychology. Two educational problems from which Logo theory has been derived and Logo's responses to these problems are discussed. (MBR)
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Educational Theories

Wang, Z. W.; Willoughby, T. L. – Journal of Computers in Mathematics and Science Teaching, 1991
This paper describes a method of understanding student problem-solving behavior during computer-assisted instruction using trigonometry as the example domain. Instead of attempting to model the student's process for solving problems, techniques which infer the equivalence between two adjacent steps in the student's process are used to determine…
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Measurement, Computer Assisted Instruction
Perlman, Radia – 1974
TORTIS (Toddler's Own Recursive Turtle Interpreter System) is a device which can be used to study or nurture the cognitive development of preschool children. The device consists of a "turtle" which the child can control by use of buttons on a control panel. The "turtle" can be made to move in prescribed directions, to take a…
Descriptors: Artificial Intelligence, Cognitive Development, Computer Assisted Instruction, Computers

Koschmann, Timothy – Artificial Intelligence, 1996
Reviews Dreyfus's writings about human cognition and artificial intelligence (AI), and explains some of the implications of his position, particularly in education. Topics include Dreyfus' critique of AI, representationlaism and expertise, technology and its role in instruction, computer-assisted instruction, and intelligent tutoring systems. (JKP)
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Cognitive Psychology
Pea, Roy D. – 1984
This paper explores the thesis that advances in computer applications and artificial intelligence have important implications for the study of development and learning in psychology. Current approaches to the use of computers as devices for problem solving, reasoning, and thinking--i.e., expert systems and intelligent tutoring systems--are…
Descriptors: Artificial Intelligence, Child Development, Cognitive Development, Computers
Wilson, Louise – 1989
This report presents a summary of research being conducted at the University of Minnesota in which new technologies are being applied to development of cognition in hearing impaired learners. The study involved an application of concept analysis, information-processing theories, and group-based interactive technology in the teaching of…
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Computer Assisted Instruction
Tatsuoka, Kikumi K.; Tatsuoka, Maurice M. – 1986
The rule space model permits measurement of cognitive skill acquisition, diagnosis of cognitive errors, and detection of the strengths and weaknesses of knowledge possessed by individuals. Two ways to classify an individual into his or her most plausible latent state of knowledge include: (1) hypothesis testing--Bayes' decision rules for minimum…
Descriptors: Artificial Intelligence, Bayesian Statistics, Cognitive Development, Computer Assisted Testing