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Stewart, William H.; Baek, Youngkyun; Kwid, Gina; Taylor, Kellie – Journal of Educational Computing Research, 2021
Recently educational robotics has expanded into curriculum beyond traditional STEM fields, and which can also be used to foster computational thinking (CT) skills. Prior research has shown numerous interdisciplinary benefits related to CT, however, these influential factors have often been investigated with relatively few variables. This study…
Descriptors: Thinking Skills, Problem Solving, Computation, Elementary School Students
Wu, Sheng-Yi; Hou, Huei-Tse – Journal of Educational Computing Research, 2015
Cognitive styles play an important role in influencing the learning process, but to date no relevant study has been conducted using lag sequential analysis to assess knowledge construction learning patterns based on different cognitive styles in computer-supported collaborative learning activities in online collaborative discussions. This study…
Descriptors: Cognitive Style, Student Behavior, Problem Solving, Discussion (Teaching Technique)
Peer reviewedPerkins, D. N.; And Others – Journal of Educational Computing Research, 1986
Examines reasons why some elementary and secondary students learn programming in BASIC and LOGO much better than others suggesting this happens because students bring different learning patterns to the programming context. Pitfalls novices face in learning programming are discussed, and instructional design suggestions to foster better learning…
Descriptors: Cognitive Style, Elementary Secondary Education, Instructional Design, Instructional Improvement
Peer reviewedHoward, Janice R.; And Others – Journal of Educational Computing Research, 1993
Describes a study that examined problem-solving strategies selected by African-American preschool students with differing cognitive styles using LOGO computer software. Highlights include spatial development, minority performance and cross-cultural differences in cognitive style, and differences in field-dependent/field-independent children in…
Descriptors: Analysis of Variance, Black Youth, Cognitive Style, Courseware

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