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Establishment and Practice of Teaching Evaluation System of Gerontology Introduction Course from the Perspective of Big Data

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DOI: 10.23977/curtm.2023.060113 | Downloads: 13 | Views: 528

Author(s)

Cuifei Lian 1, Yujia Wang 1, Xiaoqing Ma 1, Yaping Gao 1, Lixia Hou 1

Affiliation(s)

1 Hebei Women's Vocational College, Shijiazhuang, 050073, China

Corresponding Author

Cuifei Lian

ABSTRACT

The development of Internet technology has led to profound changes in the field of education, but also brought about a new development of the subject curriculum evaluation system. In the era of big data, the curriculum assessment system can deepen the curriculum practice, effectively combine student habits, learning characteristics, off class performance, professional ethics and comprehensive quality and other evaluation indicators, and achieve the authenticity and effectiveness of student and teaching evaluation through the induction, integration and collection of massive teaching practice data. For this reason, this paper takes Introduction to Gerontology as the starting point, analyzes the main problems of curriculum evaluation in the era of big data, and puts forward strategies for establishing the curriculum teaching evaluation system of Introduction to Gerontology.

KEYWORDS

Big Data; Introduction to Gerontology; Courses; Teaching Evaluation System

CITE THIS PAPER

Cuifei Lian, Yujia Wang, Xiaoqing Ma, Yaping Gao, Lixia Hou, Establishment and Practice of Teaching Evaluation System of Gerontology Introduction Course from the Perspective of Big Data. Curriculum and Teaching Methodology (2023) Vol. 6: 67-71. DOI: http://dx.doi.org/10.23977/curtm.2023.060113.

REFERENCES

[1] Xiong T. On the course design of Introduction to Gerontology in higher vocational colleges [J]. Literature Education (Part 2) 2017; (08):158-159.
[2] Yao X. Construction of adult higher education curriculum evaluation system based on big data [J]. Changjiang series 2019; (10):130-131.
[3] Zhou J. Analysis of curriculum evaluation methods in the context of big data [J]. Journal of Tianjin Radio and TV University 2018; 22(02):10-13.

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