Open Access

Innovative talent cultivation strategies for teaching traditional culture and language and literature based on information fusion technology

   | Jul 29, 2023

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Language and culture are inextricably intertwined, and language and literature teaching cannot be separated from traditional Chinese culture. To study traditional culture and innovative talent cultivation strategies for language and literature teaching, this paper analyzes the current situation of language and literature teaching based on information fusion technology. Regarding curriculum structure, 21.5% of the students think that general education courses involving traditional culture should be increased. 81.2% of the students think there should be more practical studies or internships about traditional culture. In terms of course content, only 10.7% of students think that teachers have a strong connection between traditional culture and language and literature, 51.1% of students think the degree of connection is average, and 3.4% of students think that the teaching of language and literature has no connection with traditional culture at all.

Regarding course evaluations, 28.1% of the tests in language and literature focused on general competence, 42.3% on knowledge mastery, and 29.4% on research skills. The impact of teacher evaluations on students was considered average by 55.1%, great by 23.8%, and minimal by 21.1%. Language and literature teaching should effectively enhance curriculum specialization, improve students’ cultural awareness, and deeply explore the connotation of teaching materials. Innovative talent cultivation strategies based on information integration technology can promote the organic integration of language and literature teaching and Chinese traditional culture, ensure that students can truly take the inheritance and promotion of Chinese traditional culture as their responsibility, shoulder the historical mission of Chinese children, and help the great rejuvenation of the Chinese nation.

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics