Literaturnachweis - Detailanzeige
| Autor/in | Zhang, Zhidong |
|---|---|
| Titel | Assessment of Matrix Multiplication Learning with a Rule-Based Analytical Model--"A Bayesian Network Representation" |
| Quelle | In: International Education Studies, 9 (2016) 12, S.182-193 (12 Seiten)
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1913-9020 |
| Schlagwörter | Alternative Assessment; Multiplication; Matrices; Learning; Task Analysis; Bayesian Statistics; Networks; Student Evaluation; Graduate Students; Models; Diagnostic Tests; Problem Solving |
| Abstract | This study explored an alternative assessment procedure to examine learning trajectories of matrix multiplication. It took rule-based analytical and cognitive task analysis methods specifically to break down operation rules for a given matrix multiplication. Based on the analysis results, a hierarchical Bayesian network, an assessment model, comprising of 2 layers of explanatory variables-Matrix Multiplication, Performance and Semantic Explanations; and one layer of evidential variables containing 9 evidential variables-was developed. With the simulating data, 9 students' Performance and Semantic Explanation evidences were recorded. The results indicated that the hierarchical Bayesian assessment effectively traced and recorded students' learning trajectories; and assessed students' learning dynamically and diagnostically. (As Provided). |
| Anmerkungen | Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, ON M3J 3H7, Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/es |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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