ERIC Number: EJ1428073
Record Type: Journal
Publication Date: 2024
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1548-1093
EISSN: EISSN-1548-1107
Utilizing Natural Language Processing to Enhance Ideological Education in Tibetan Universities
Quan Yang; Huajian Xin; Xuehua Ji; Fae Mai
International Journal of Web-Based Learning and Teaching Technologies, v19 n1 2024
This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of ideological education in Tibetan universities. By utilizing N-gram language models and enhanced technical modes, key information can be quickly obtained, developing students' interest in ideological education. The construction of a corpus is deemed crucial for expedited access to ideological education documents. The study suggests that combining information technology with ideological education can create new opportunities for innovation and reform in the field.
Descriptors: Universities, Geographic Regions, Educational Change, Educational Innovation, Foreign Countries, Ideology, Political Attitudes, Political Science, Teaching Methods, Student Interests, Natural Language Processing, Accuracy, Search Strategies, Chinese, Bilingualism, Sino Tibetan Languages, Computational Linguistics, Vocabulary, Computer Software
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A