Literaturnachweis - Detailanzeige
Autor/in | Alqurashi, Emtinan |
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Titel | Predicting Student Satisfaction and Perceived Learning within Online Learning Environments |
Quelle | In: Distance Education, 40 (2019) 1, S.133-148 (16 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Alqurashi, Emtinan) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0158-7919 |
DOI | 10.1080/01587919.2018.1553562 |
Schlagwörter | Student Satisfaction; Online Courses; Educational Technology; Self Efficacy; Teacher Student Relationship; Learner Engagement; Peer Relationship; Predictor Variables; College Students; Student Attitudes; Pennsylvania |
Abstract | Student satisfaction is used as one of the key elements to evaluate online courses, while perceived learning is considered as an indicator of learning. This study aimed to explore how online learning self-efficacy (OLSE), learner--content interaction (LCI), learner--instructor interaction (LII), and learner--learner interaction (LLI) can predict student satisfaction and perceived learning. A total of 167 students participated in this study. Regression results revealed that the overall model with all four predictor variables (OLSE, LCI, LII, and LLI) was significantly predictive of satisfaction and perceived learning. The study found that LCI was the strongest and most significant predictor of student satisfaction, while OLSE was the strongest and most significant predictor of perceived learning. However, LLI was not predictive of student satisfaction and perceived learning. This study suggests that instructors employ strategies that enhance students' OLSE, LCI, and LII. Research is needed to understand how LLI fosters student learning and satisfaction. (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 | 2020/1/01 |