Drawing on the evaluations of students’ attitudes toward learning aspects the mixed-method research aims to examine the prospects of Blended Learning at FPT University in Can Tho. Four hundred sixty-seven students partook in the study by providing answers for a 30-item questionnaire with open-ended questions. The results showed that most students have positive attitudes towards factors constructing their Blended Learning adaptability, including (1) Study Management and Online Learning, (2) Classroom Learning, and (3) Learning Flexibility. The results of Binary Logistic Regression also clarified the good promise of Blended Learning implementation and the discovery of other concerns that hindered informants’ willingness, namely Worriment about Learning Effectiveness, Online Learning Barriers, and Learners’ Ego. The research findings served as a reference for FPT University and other higher institutions to better grasp how students perceive Blended Learning to develop strategies for successful practices.

The benefit from integrating the information from multi-source was confirmed in the research of hydrologic processes in river basins. However, the use of satellite-based rainfall products in hydrologic stream flow modeling has been limited because of the perceived uncertainty associated with such data. In this study the authors presented the simulated streamflow from a SWAT model driven by merging rainfall between satellite and gauge-observed rainfall for the Lam River Basin. The results demonstrate the usefulness of merging rainfall data for stream flow modelling at a monthly time step.