| Autor: |
Shearman, Donald, Aziz, Shatha, Pettigrew, Jim |
| Předmět: |
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| Zdroj: |
MSOR Connections; 2024, Vol. 22 Issue 3, p29-38, 10p |
| Abstrakt: |
We describe the development and analysis of an online diagnostic tool implemented in the Numbas elearning system and used in an Australian university mathematics refresher program. Following the rapid transition to online delivery of the refresher program caused by COVID-19, the diagnostic instruments and methods used within the pre-pandemic, in-person, version of the program were lost. In 2022, we undertook to revive them in a way that would honour their original diagnostic purpose but offer a more sophisticated approach utilising the Numbas diagnostic exam type. Improvement of the tool after its initial deployment has involved the use of Rasch-based item analysis and recursive refinement of the knowledge map underlying the items. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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