With the rapid development of modern information technology, intelligent teaching platforms have been integrated into the classrooms. Convenient and efficient online teaching has become a part of teaching in institutions of higher learning. Through questionnaires and personal interviews, it showed that most students have high satisfaction with online teaching, but there are still problems such as low adaptability makes it difficult to guarantee the teaching effect. Aiming at improving teaching efficiency, this paper constructs the evaluation system index of online teaching and uses the analytic hierarchy process to analyze and explore. Finally, corresponding measures are proposed from four aspects of teachers, students, teaching environment and teaching management based on the quantitative analysis results, to provide theoretical support for the improvement of online teaching quality in universities.
CITATION STYLE
Li, Q., Zhao, Y., Li, J., & Su, L. (2021). Teaching evaluation index based on analytic hierarchy process. In Advances in Intelligent Systems and Computing (Vol. 1263 AISC, pp. 382–390). Springer. https://doi.org/10.1007/978-3-030-57796-4_37
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