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Zhang, Mingyan; Du, Xu; Hung, Jui-Long; Li, Hao; Liu, Mengfan; Tang, Hengtao – Journal of Educational Computing Research, 2022
In online learning, students' learning behavior might change as the course progresses. How students adjust learning behaviors aligned with course requirements reflects their self-regulated learning strategies. Analyzing students' learning patterns can help instructors understand how the course design or activities shape students' learning…
Descriptors: Elementary Secondary Education, Students, Independent Study, Self Control
Tan, Seng Chee; Wang, Xinghua; Li, Lu – Journal of Educational Computing Research, 2022
This study explored the development trajectory of shared epistemic agency in online collaborative learning through epistemic network analysis and lag sequential analysis. It was carried out in a postgraduate course with 14 in-service teachers. Drawing on the online discussion data from six sessions and the participants' academic scores, this study…
Descriptors: Cooperative Learning, Epistemology, Personal Autonomy, Online Courses
Gu, Xiaoqing; Xu, Hongjin – Journal of Educational Computing Research, 2019
Advancements in learning analytics allow teachers to track student learning progress and promote learning by providing necessary intervention and support. Multiple data sources are involved in learning analytics, and the major ones are systems that students use in school. To fully comprehend the progress of student learning, out-of-school learning…
Descriptors: Learning Processes, Computer Use, Informal Education, Learning Experience
Meital Amzalag; Dorin Kadusi; Shimon Peretz – Journal of Educational Computing Research, 2024
Abundant research has tried to understand how games can be designed and used effectively to improve the learning process and to examine the correlations between digital learning games and student motivation, engagement, and knowledge retention. The current study examined the correlation between learning through digital game-based learning (DGBL)…
Descriptors: Learner Engagement, Academic Achievement, Game Based Learning, Electronic Learning
Pando Cerra, Pablo; Fernández Álvarez, Humberto; Busto Parra, Bernardo; Iglesias Cordera, Paula – Journal of Educational Computing Research, 2022
Game-Based Learning (GBL) is increasingly widespread as a learning technique in the engineering studies. However, this innovative methodology may be difficult to incorporate in some subjects due to their complex contents. This paper aims at combining traditional learning methodologies with game mechanics by using an ad-hoc gaming web environment…
Descriptors: Academic Achievement, Game Based Learning, Information Technology, Teaching Methods
Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement

Relan, Anju – Journal of Educational Computing Research, 1995
Describes a study of 107 sixth graders that investigated the effects of learning strategy training intervention and the incorporation of learner control on achievement, learning efficiency, and instructional choice while subjects learned from a computer-based science tutorial. Principles for instructional design incorporating learner control are…
Descriptors: Academic Achievement, Analysis of Variance, Computer Assisted Instruction, Grade 6

Hooper, Simon; Hannafin, Michael J. – Journal of Educational Computing Research, 1988
Describes study that compared the achievement of high and low ability eighth-grade students working cooperatively during computer-based instruction. Homogeneous and heterogeneous grouping based on ability are explained, posttest results are analyzed, and implications for instructional design are discussed. (23 references) (Author/LRW)
Descriptors: Academic Achievement, Analysis of Variance, Aptitude Treatment Interaction, Comparative Analysis