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Luo, Zhanni; O'Steen, Billy; Brown, Cheryl – Interactive Technology and Smart Education, 2020
Purpose: To build adaptive learning systems for a better learning experience, designers need to identify users' behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and…
Descriptors: Eye Movements, Computer Assisted Testing, Educational Technology, Cognitive Style
Veerbeek, Jochanan; Vogelaar, Bart; Verhaegh, Janneke; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2019
Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and posttest) to investigate children's task solving…
Descriptors: Young Children, Pretests Posttests, Problem Solving, Outcomes of Education
Peer reviewedRiding, Richard J.; And Others – Educational and Training Technology International, 1989
Discussion of individual learning styles focuses on a study of 13-year-old students in the United Kingdom that investigated the development of a computer-presented test of verbal-imagery learning styles. Ability grouping and test performance results are described, and implications for computer-based training (CBT) are discussed. (six references)…
Descriptors: Ability Grouping, Academic Achievement, Analysis of Variance, Cognitive Style

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