Research on the Optimization Pathways of University Education and Teaching Reform based on OBE Concepts

被引:0
|
作者
Huang J. [1 ]
机构
[1] International Cooperation and Exchanges Office, Capital University of Economics and Business, Beijing
关键词
Baroclinic coefficient; BCCF algorithm; Collaborative filtering algorithm; OBE concept; Recommendation algorithm;
D O I
10.2478/amns.2023.2.00675
中图分类号
学科分类号
摘要
This paper proposes to introduce OBE theory in the curriculum map so as to build a curriculum master map based on the concept of engineering education accreditation-oriented and professional training objectives. In order to provide personalized services to students in the curriculum map, this paper applies the user-based collaborative filtering recommendation algorithm to the curriculum map and uses a similarity calculation based on Barclay’s coefficient improved similarity (BCCF) to finally implement the curriculum recommendation algorithm. The results show that the AUC of the recommendation algorithm constructed in this paper reaches 0.867. After the teaching reform, the mean values of students in the course reform class are 0.68, 0.61, and 1.31 higher than those in the non-course reform class at the level, of course, affect perception, teacher teaching, and student learning. Therefore, the OBE-based teaching method in this paper can develop personalized learning paths for students, which helps students learn better and plan the overall learning paths and make the most of educational resources. © 2023 Jingjing Huang, published by Sciendo.
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