Author(s)

Miao Li ¹

Affiliation(s)

¹ Institute of Education, Jilin International Studies University, Changchun, Jilin, China

Corresponding Author

Miao Li

ABSTRACT

With the development of China's society, the construction and utilization of digital educational resources in the field of basic education in China has many years of practical experience and is gradually developing in depth. In this paper, the text quantization in vector space model was discussed in depth, and the improved Term-Frequency Inverse Document Frequency (TF-IDF) formula was described in detail, which aimed to build an intelligent platform for Ideological and Political Education (IPE) resources. In this paper, 200 students and 50 ideological and political teachers were investigated by questionnaire. It could be seen from the questionnaire data of teachers that only 20.00% of teachers were very satisfied with the application of digital education resources in the existing ideological and political discipline teaching. According to the data of the group experiment of 200 students, before the experiment, the scores of learning efficiency and learning achievement of the experimental group were 5.00 and 5.30 respectively, and the scores of the control group were 5.10 and 5.40 respectively. After the intervention experiment of IPE resource intelligence platform, the learning efficiency and learning achievement scores of the experimental group were 7.90 and 7.60 respectively, and the scores of the control group were 6.20 and 6.10 respectively. It was not difficult to see that the intellectual platform of IPE resources had a promoting effect on students' learning and was worthy of further promotion and application.

KEYWORDS

Digital Education Environment, Digital Resources, Ideological and Political Education Resources, Intelligent Platform, Term Frequency-Inverse Document Frequency

CITE THIS PAPER

Miao Li, Intelligent Platform of Ideological and Political Education Resources under Digital Education Environment. Advances in Educational Technology and Psychology (2024) Vol. 8: 35-44. DOI: http://dx.doi.org/10.23977/aetp.2024.080105.

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