Application of Multi-Criteria Decision-Making in Ranking Critical Success Factors of e-Learning: A Case of Mathematics in Tanzania Secondary Schools.

This dataset contains survey responses from Tanzanian secondary school Mathematics teachers, students, and IT specialists. Data was collected to rank Critical Success Factors (CSFs) affecting e-learning effectiveness in Mathematics teaching. Responses were gathered using both online questionnaires (in Google Forms) and paper-based surveys designed for Multi-Criteria Decision Making (MCDM) methods, including Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS. The dataset includes responses in Excel format, with data anonymized for privacy.