Behavior Analysis in Distance Education by Boosting Algorithms

Autor/inn/en	Zang, Wei; Lin, Fuzong
Titel	Behavior Analysis in Distance Education by Boosting Algorithms
Quelle	In: International Journal of Distance Education Technologies, 4 (2006) 2, S.57-71 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1539-3100
DOI	10.4018/jdet.2006040105
Schlagwörter	Student Behavior; Distance Education; Data Collection; Data Analysis; Academic Achievement; Success; Comparative Analysis; On Campus Students; Technology Uses in Education; Foreign Countries; College Students; Computer Mediated Communication; Questionnaires; Online Courses; Training; Scores; Program Effectiveness; English (Second Language); Student Attitudes; China + Suchen Sie Ihr Suchwort? Student behaviour; Schülerverhalten; Distance study; Distance learning; Fernunterricht; Data capture; Datensammlung; Auswertung; Schulleistung; Erfolg; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Ausland; Collegestudent; Computerkonferenz; Fragebogen; Online course; Online-Kurs; Ausbildung; English as second language; English; Second Language; Englisch als Zweitsprache
Abstract	Student behavior analysis is an active research topic in distance education in recent years. In this article, we propose a new method called Boosting to investigate students' behaviors. The Boosting Algorithm can be treated as a data mining method, trying to infer from a large amount of training data the essential factors and their relations that influence students' academic successes. Based on the trained model, it is possible to predict students' academic successes and to assist them to adjust their learning behaviors. Among the essential factors selected by the Boosting algorithm, the analysis and comparison are conducted between on-campus students and off-campus students. More importantly, these findings are of great importance to academic administrators, faculty members, and instructional developers in order to improve the teaching modes and online courseware design. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01