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Reychav, Iris; Raban, Daphne Ruth; McHaney, Roger – Journal of Educational Computing Research, 2018
The current empirical study examines relationships between network measures and learning performance from a social network analysis perspective. We collected computerized, networking data to analyze how 401 junior high students connected to classroom peers using text- and video-based material on iPads. Following a period of computerized…
Descriptors: Junior High School Students, Academic Achievement, Computer Uses in Education, Social Media
Dunser, Andreas; Jirasko, Marco – Journal of Educational Computing Research, 2005
In this study, the relevance of the distinction between sequential and global learners in the context of learning with hypertext was investigated. Learners with global learning style were expected to produce better results when learning with hypertext, whereas learners with sequential learning style should profit from a structural aid in form of a…
Descriptors: Cognitive Style, Hypermedia, Sequential Learning, Foreign Countries
Peer reviewedChen, Li-Ling – Journal of Educational Computing Research, 1997
Discussion of multicultural classrooms and English-as-a-Second-Language focuses on a study that investigated the relationship of learners' language backgrounds and different computer graphics display strategies. Four versions of hypertext instruction with identical text and different levels of computer graphics displays were tested on graduate…
Descriptors: Comparative Analysis, Computer Graphics, Computer Uses in Education, Educational Environment
Peer reviewedLiu, Min – Journal of Educational Computing Research, 1998
Describes a study that examined whether engaging elementary school students in hypermedia authoring would promote their creative thinking. Highlights include Logo programming language; the Torrance Tests of Creativity Thinking; performance assessment; interviews and observations; ability levels; collaborative versus individual learning; and…
Descriptors: Ability Grouping, Academic Ability, Analysis of Variance, Authoring Aids (Programming)

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