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Eui-Chul Jung; Meile Le – IAFOR Journal of Education, 2024
Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students…
Descriptors: Curriculum Development, Man Machine Systems, Artificial Intelligence, Merchandise Information
Han, Areum; Krieger, Florian; Borgonovi, Francesca; Greiff, Samuel – Large-scale Assessments in Education, 2023
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students' test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall…
Descriptors: Behavior Patterns, Cooperative Learning, Problem Solving, Reaction Time
Peer reviewedMithaug, Dennis E.; Wolfe, M. S. – Journal of Experimental Child Psychology, 1980
Examines the development of reciprocal cooperation in dyads by allowing one subject at a time to be dependent upon a partner and then reversing this condition periodically. Subjects were 10 special education unit students who ranged in age from 10 to 16 years. (MP)
Descriptors: Adolescents, Behavior Patterns, Cooperation, Disabilities
Hon, David – Performance and Instruction, 1983
Argues that factors that create a feeling of interactivity in the human situation--response time, spontaneity, lack of distractors--should be included as prime elements in the design of human/machine systems, e.g., computer assisted instruction and interactive video. A computer/videodisc learning system for cardio-pulmonary resuscitation and its…
Descriptors: Behavior Patterns, Computer Programs, Design Preferences, Human Relations
Hawk, William B.; Wang, Peiling – Proceedings of the ASIS Annual Meeting, 1999
Examines users' cognitive, affective, and physical behaviors during user-Web interaction to understand better the nature of information retrieval on the Web, the needs of Web users, and the problem-solving strategies Web users employ. Describes and interprets searching behavior and problem-solving patterns within the relevant situational context…
Descriptors: Behavior Patterns, Information Retrieval, Interaction Process Analysis, Man Machine Systems
Peer reviewedMcCann, Patrick H. – Computers and Education, 1983
Discusses the design and development of the user-computer interface in terms of the personal computer user's psychological needs and physical, perceptual, and conceptual contact with the system. Principles for the development of a user-system dialog that meets the requirements of transparency and visibility are suggested. Twenty-six references are…
Descriptors: Behavior Patterns, Computer Science, Design Preferences, Design Requirements

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