Literaturnachweis - Detailanzeige
| Autor/inn/en | Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser |
|---|---|
| Titel | A Revised Application of Cognitive Presence Automatic Classifiers for MOOCs: A New Set of Indicators Revealed? |
| Quelle | In: International Journal of Educational Technology in Higher Education, 19 (2022), Artikel 48 (21 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Hu, Yuanyuan) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| DOI | 10.1186/s41239-022-00353-7 |
| Schlagwörter | MOOCs; Philosophy; Artificial Intelligence; Computer Mediated Communication; Group Discussion; Intellectual Disciplines; Medicine; Humanities; Education; Classification; Automation |
| Abstract | Automatic analysis of the myriad discussion messages in large online courses can support effective educator-learner interaction at scale. Robust classifiers are an essential foundation for the use of automatic analysis of cognitive presence in practice. This study reports on the application of a revised machine learning approach, which was originally developed from traditional, small-scale, for-credit, online courses, to automatically identify the phases of cognitive presence in the discussions from a Philosophy Massive Open Online Course (MOOC). The classifier performed slightly better on the MOOC discussions than similar previous studies have found. A new set of indicators to identify cognitive presence was revealed in the MOOC discussions, unlike those in the traditional courses. This study also cross-validated the classifier using MOOC discussion data from three other disciplines: Medicine, Education, and Humanities. Our results suggest that the cognitive classifier trained using MOOC data in only one discipline cannot yet be applied to other disciplines with sufficient accuracy. (As Provided). |
| Anmerkungen | BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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