Literaturnachweis - Detailanzeige
| Autor/in | Park, Seoyeon |
|---|---|
| Titel | Discovering Unproductive Learning Patterns of Wheel-Spinning Students in Intelligent Tutors Using Cluster Analysis |
| Quelle | In: TechTrends: Linking Research and Practice to Improve Learning, 67 (2023) 3, S.489-497 (9 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Park, Seoyeon) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 8756-3894 |
| DOI | 10.1007/s11528-023-00847-9 |
| Schlagwörter | Intelligent Tutoring Systems; Productivity; Persistence; Skill Development; Drills (Practice); Failure; Online Courses; Mathematics Instruction; Student Motivation; Knowledge Level; Metacognition; Barriers |
| Abstract | Wheel-spinning is unproductive persistence without the mastery of skills. Understanding wheel-spinning during the use of intelligent tutoring systems (ITSs) is crucial to help improve productivity and learning. In this study, following Beck and Gong (2013), we defined wheel-spinning students (unsuccessful students in ITSs) as those who practiced the same skill set over 10 times but failed to submit correct answers three times in a row. The t-SNE and K-means clustering algorithms were used to probe wheel-spinning learning patterns. Our results showed three types of wheel-spinning patterns when using ASSISTments, an online mathematics tutoring system. The findings indicate that a lack of motivation, math knowledge, or metacognitive ability can cause the failure to learn math with ITSs, which provides us with a deeper understanding of students' failure in ITSs and clues about how we can help these unsuccessful students in ITSs. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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