基于协同过滤算法的高职课程实施效果评价

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2274

Hao Wang, Huiyan Li

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引用次数: 0

摘要

传统的课程实施有效性评价方法主要侧重于对学生的课程内容进行完整的定向分析，不能体现教育课程的价值，影响评价的有效性。为此，设计了一种基于协同过滤算法的高职课程实施效果评价方法。明确高职教育课程实施评价的实践重点，发现教育课程实施评价的意义。基于协同过滤算法的课程实施度定性评价，找出课程实施评价的隐性特征，有效评价高职教育课程实施。通过案例分析，验证了该方法的有效性，可以应用于实际生活中。

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Evaluation of Curriculum Implementation Effectiveness of Higher Vocational Education Based on Collaborative Filtering Algorithm

The conventional evaluation method for the effectiveness of curriculum implementation mainly focuses on the complete orientation analysis of students’ curriculum content, which does not reflect the value of the educational curriculum and affects the effectiveness of evaluation. Therefore, an evaluation method of curriculum implementation effectiveness of higher vocational education based on a collaborative filtering algorithm is designed. Identify the practical focus of evaluating the implementation of the higher vocational education curriculum and discover the educational curriculum’s significance. Qualitative evaluation of curriculum implementation degree based on collaborative filtering algorithm, find out the hidden characteristics of curriculum implementation evaluation to effectively evaluate higher vocational education curriculum implementation. Using case analysis, it is verified that the method is more effective and can be applied in real life.

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来源期刊

Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.