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Sjors Verstege; Yingbin Zhang; Peter Wierenga; Luc Paquette; Julia Diederen – Technology, Knowledge and Learning, 2024
In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of…
Descriptors: Sequential Approach, Student Behavior, Guidance, Computation
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Kubra Sayar; Emrah Gulboy; Serife Yucesoy-Ozkan; Muhammet Sait Baran – Behavioral Disorders, 2024
Non-compliance is a challenge for practitioners serving children with and without disabilities. Many interventions have been developed to increase compliance. High-probability request sequences (HPRS), an antecedent-based intervention that is based on behavioral momentum theory, is one way to increase compliant behavior. HPRS includes the…
Descriptors: Compliance (Psychology), Students with Disabilities, Probability, Sequential Approach
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Yang, Xiaotong; Rahimi, Seyedahmad; Fulwider, Curt; Smith, Ginny; Shute, Valerie – Educational Technology Research and Development, 2022
The current study investigated students' gameplay behavioral patterns as a function of in-game learning supports delivery timing when played a computer-based physics game. Our sample included 134 secondary students (M = 14.40, SD = .90) from all over the United States, who were randomly assigned into three conditions: receiving instructional…
Descriptors: Student Behavior, Educational Games, Game Based Learning, Problem Solving
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems