Dataset on criteria for evaluating teaching quality in blended learning environments: Evidence from a Vietnamese university

This article presents a dataset for evaluating teaching quality in a blended learning environment at the University of Education, Vietnam National University, Hanoi. The dataset includes 472 valid survey responses collected from undergraduate students and lecturers who participated in blended learning courses. Data were gathered using a newly developed 62-item instrument measured on a five-point Likert scale. The instrument covers four major standards: Context and Objectives, Input Resources, Teaching and Learning Process, and Outputs. Its measurement quality was examined through Cronbach’s Alpha, Exploratory Factor Analysis (EFA), and Confirmatory Factor Analysis (CFA) using SPSS 26.0 and AMOS 24.0. The results support the reliability and construct validity of the instrument. This dataset can be useful for university administrators, quality assurance practitioners, and researchers who are interested in assessing teaching quality in blended learning, comparing results across courses or programs, and conducting further comparative or predictive studies in higher education.