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Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation

Reed, W. Michael; And Others – Journal of Educational Computing Research, 1996
University students (n=15) were asked how a hypermedia program's features reflected 4 theoretical constructs, 2 linear models (semantic networks, frames/scripts), and 2 nonlinear models (concept maps and schemata). Regardless of hypermedia experience, students cited more linear than nonlinear models, suggesting that more experience in programming,…
Descriptors: College Students, Computer Literacy, Computer Software, Concept Mapping
Fox, Eric J.; Sullivan, Howard J. – Journal of Educational Computing Research, 2007
The purpose of this study was to compare traditional classification training for a set of abstract concepts with multiple-relations training consisting of inference practice and the use of a content diagram. To examine this, 200 undergraduate and graduate psychology students completed a Web-based tutorial covering the abstract concepts of a…
Descriptors: Classification, Psychology, Internet, Higher Education