Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis

Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to...

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Veröffentlicht in:	Education and information technologies 2019-03, Vol.24 (2), p.1741-1752
Hauptverfasser:	Wook, Muslihah, Ismail, Suhaila, Yusop, Nurhafizah Moziyana Mohd, Ahmad, Siti Rohaidah, Ahmad, Arniyati
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Beliefs Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Data Analysis Data Collection Data mining Education Educational Improvement Educational Technology Emotional Response Information Systems Applications (incl.Internet) Instructional Improvement Knowledge Positive Attitudes Schemata (Cognition) Self Concept Self Control Student Attitudes Technological Literacy Technology Acceptance Model Undergraduate Students Usability User Interfaces and Human Computer Interaction
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