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Development Of Adaptive Moocs To Support Personalized Learning: Mixed Method Analysis, P. Priyanto, Ahmad Chafid Alwi, Siti Irene Astuti Dwiningrum, Amrih Setyo Raharjo, Akhsin Nurlayli
Development Of Adaptive Moocs To Support Personalized Learning: Mixed Method Analysis, P. Priyanto, Ahmad Chafid Alwi, Siti Irene Astuti Dwiningrum, Amrih Setyo Raharjo, Akhsin Nurlayli
Elinvo (Electronics, Informatics, and Vocational Education)
This study aims to explain the development of adaptive MOOCs that support personalized learning. This study was designed with a mixed method design of sequential explanatory type at the association level. Quantitative analysis used confirmatory factor analysis (CFA) (n = 110) and was deepened with qualitative analysis of the Miles and Huberman model. Quantitatively measured domains include accessibility, learning curriculum, competence, motivation, satisfaction, efficacy, and self-study. The domain was used as a reference for qualitative data mining through focus group discussions (FGD) involving lecturers and doctoral students (n = 25). The analysis results show that the curriculum domain and one …