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Construction and practice of mixed teaching effect evaluation system in Colleges and Universities

Leina Zhao, Dongpei Zhang

Abstract


with the rapid rise of blended teaching, how to measure the eff ect of blended teaching has become a key issue for teachers.
This paper constructs a hybrid teaching eff ect evaluation system. Firstly, the principal component analysis is used to reduce the dimension of
the existing learning data set, and the teaching eff ect evaluation indexes are selected. Then, the K-means cluster analysis is used to evaluate
the teaching eff ect. The samples are divided into four categories: excellent, good, medium and poorMahalanobis classifi cation model and
Fisher criterion discrimination model put forward a joint judgment criterion to predict and classify students’ fi nal exam scores, and fi nally
give personalized information prompts or learning warnings to diff erent types of students. The teaching evaluation system proposed in this
paper is highly targeted and can be widely used in the teaching process of College Students’ performance analysis, evaluation and prediction,
which has certain reference value and practical signifi cance.

Keywords


Blended teaching; K-means clustering analysis; Evaluation system

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i4.8027

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