eTeacher: Providing Personalized Assistance to E-Learning Students

Autor/inn/en	Schiaffino, Silvia; Garcia, Patricio; Amandi, Analia
Titel	eTeacher: Providing Personalized Assistance to E-Learning Students
Quelle	In: Computers & Education, 51 (2008) 4, S.1744-1754 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0360-1315
DOI	10.1016/j.compedu.2008.05.008
Schlagwörter	Cognitive Style; Distance Education; Online Courses; Profiles; Learning Processes; College Students; Engineering; Computer Assisted Instruction; Higher Education; Computer Software; Evaluation + Suchen Sie Ihr Suchwort? Cognitive styles; Kognitiver Stil; Distance study; Distance learning; Fernunterricht; Online course; Online-Kurs; Charakterisierung; Profilanalyse; Learning process; Lernprozess; Collegestudent; Maschinenbau; Computer based training; Computerunterstützter Unterricht; Hochschulbildung; Hochschulsystem; Hochschulwesen; Evaluierung
Abstract	In this paper we present eTeacher, an intelligent agent that provides personalized assistance to e-learning students. eTeacher observes a student's behavior while he/she is taking online courses and automatically builds the student's profile. This profile comprises the student's learning style and information about the student's performance, such as exercises done, topics studied, exam results. In our approach, a student's learning style is automatically detected from the student's actions in an e-learning system using Bayesian networks. Then, eTeacher uses the information contained in the student profile to proactively assist the student by suggesting him/her personalized courses of action that will help him/her during the learning process. eTeacher has been evaluated when assisting System Engineering students and the results obtained thus far are promising. (Contains 3 tables and 9 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10