Abstract
Considering COVID-19 pandemic, interest in e-learning has increased at the global level. Therefore, the current study aimed to evaluate the quality of designing online mathematics courses according to quality matters (QM) standards at Prince Sattam bin Abdulaziz University. The study relied on a qualitative mixed explanatory sequential research design for data collection and analysis. A questionnaire based on the quality matters rubric (QMR) sixth edition was used to collect quantitative data from 31 mathematics faculty members and 75 university students studying mathematics courses online. To collect qualitative data, interviews were held with 10 of the participants. Intentionally based on the responses given in the questionnaire. SPSS 24.0 software was used to analyze quantitative data. The results indicated a high percentage of achievement of QM standards in mathematics courses from the point of view of the faculty members and achieved to a moderate degree from the students’ point of view. Moreover, the results indicated that there are statistically significant differences (α<0.05) between the estimates of faculty members and students in favor of faculty members in favor of faculty members. The results also revealed that there were statistically significant differences (α<0.05) between the students’ estimates of the academic achievement variable in favor of the outstanding students, while the results indicated that there were no statistically significant differences (α<0.05) attributed to the level of computer skills variable. The results of the interviews revealed the existence of some suggested improvements on the Blackboard platform to suit mathematics courses and learning them online, and some obstacles faced students during the online learning period were identified. The study presented many recommendations and research proposals as future work.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EURASIA J Math Sci Tech Ed, 2022, Volume 18, Issue 4, Article No: em2098
https://doi.org/10.29333/ejmste/11924
Publication date: 25 Mar 2022
Article Views: 2083
Article Downloads: 843
Open Access Disclosures References How to cite this article