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Autor/inn/en | Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter |
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Titel | Do Individual Characteristics Affect Online Learning Behaviors? An Analysis of Learners Sequential Patterns |
Quelle | In: Journal of Research on Technology in Education, 55 (2023) 4, S.663-683 (21 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Çebi, Ayça) ORCID (Araújo, Rafael D.) ORCID (Brusilovsky, Peter) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1539-1523 |
DOI | 10.1080/15391523.2022.2027301 |
Schlagwörter | Individual Characteristics; Electronic Learning; Student Behavior; Learning Management Systems; Learner Engagement; Data Analysis; Undergraduate Students; Behavior Patterns; Sequential Approach; Cognitive Style; Short Term Memory; Foreign Countries; Prior Learning; Academic Achievement; Turkey |
Abstract | Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at investigating how learners' characteristics affect their online learning behavior by using sequential pattern mining and clustering techniques. Participants were 74 undergraduate students from a public university, whose interactions with four different kinds of learning contents in an online learning system were collected. Results showed significant differences in sequential patterns of learners with different cognitive characteristics. (As Provided). |
Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |