Interpreting students’ perception of the e-Learning environments: determining optimal Cut-off Points for the e-Learning Educational Atmosphere Measure (EEAM)
| Autor: | Aeen Mohammadi, Rita Mojtahedzadeh, Atekeh Mousavi, Soroush Ahmadi Fariman |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Je-LKS: Journal of E-Learning and Knowledge Society, Vol 19, Iss 4 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1971-8829 1826-6223 |
| DOI: | 10.20368/1971-8829/1135812 |
| Popis: | There is a need for institutions to evaluate their e-Learning educational atmosphere to improve students’ learning experiences. The E-Learning Educational Atmosphere Measure (EEAM) is a comprehensive tool focusing on the students’ perception of the e-Learning environment. To be able to verbally interpret the results of the measure for better comprehension and more effective and consistent usage, it is essential to establish clear cut-off scores. We aimed to determine the optimal cut-off points for the EEAM scores by plotting them as the ROC curves versus a single global rating question. The findings showed that while the range of the possible EEAM scores was 40 to 200, cut-off points of equal or below 127, between 127 to 152, and equal or above 152 indicated students’ perception of the e-Learning atmosphere as “poor to weak”, “moderate”, and “good to excellent” respectively. The Area Under the Curve for scores that reflected the “poor to weak” state was 0.875 (p-value=0.000) with a sensitivity of 84.8% and a specificity of 70.0%. This area was 0.947 (p-value=0.000) for the “good to excellent” state with a sensitivity of 100% and a specificity of 82.1%. Our findings are useful in studying, evaluating, and monitoring the e-Learning educational atmosphere of institutions or comparing the results of multiple settings. |
| Databáze: | Directory of Open Access Journals |
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