Abstract
This research aims to assess student satisfaction with blended learning styles in the post-COVID-19 era at Umm Alqura University, taking into consideration the variables of gender, study level, and academic major. The study utilizes a descriptive analysis methodology to evaluate student satisfaction, employing a sample of 248 students enrolled at Umm Alqura University during the 2021–2022 academic year. A satisfaction questionnaire was developed and administered to collect the necessary data from the participants, ensuring the validity and reliability of the questionnaire. The research findings indicate a high level of satisfaction among university students towards the various blended learning styles, namely the Rotation Model, Lab Rotation, Flipped Classroom, and Individual Rotation. Statistical analysis reveals no significant differences in the mean scores of student satisfaction across different study groups, indicating a consistent level of satisfaction with the blended learning styles, including individual rotation, flipped classroom, lab rotation, and rotation model. Furthermore, there are no statistically significant differences in satisfaction levels between male and female students. Similarly, no significant differences are observed in satisfaction levels between bachelor and postgraduate students. However, a statistically significant difference is found between scientific specialization students and literary specialization students, favoring the literary specialization students' approval of the blended learning style. These research findings contribute to the understanding of the blended learning environment and its associated styles. Moreover, the results highlight the need for further investigation into the effectiveness of blended learning and its various patterns in promoting diverse learning outcomes.
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Alharthi, A. D., Almotairi, K. H., & Elsigini, W. T. (2023). Evaluating student satisfaction with blended learning styles in the postCOVID-19 era at Umm Alqura University. International Journal of Advanced and Applied Sciences, 10(6), 36–47. https://doi.org/10.21833/ijaas.2023.06.005
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