Utilizing Natural Language Processing to Enhance Ideological Education in Tibetan Universities

Utilizing Natural Language Processing to Enhance Ideological Education in Tibetan Universities

Quan Yang, Huajian Xin, Xuehua Ji, Fae Mai
DOI: 10.4018/IJWLTT.337390
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Abstract

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.
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Introduction

Constrained by factors like poor natural conditions and a weak economic foundation, Tibet’s transportation infrastructure has long lagged behind (Wang.T et al., 2020). Before liberation, there was no modern highway, and the transportation infrastructure relied on people and horses. The vast agricultural and pastoral areas were, in essence, a relatively closed environment. Since the democratic reform, great improvements in both the central government’s support and the transportation infrastructure in and out of Tibet have been achieved (Gao et al., 2020).

The continuous improvement of airport facilities has led to a modernized transportation network, with road transportation as the mainstay and railway and air transportation serving as supplements. This transformation has greatly strengthened the connection between Tibet and the mainland (Mukherjee, 2021). Tibetan college students who grew up in this evolving environment exhibit strong personalities and resilience to hardships and hard work. On the other hand, due to the relatively closed living environment and limited exposure to information, their perspectives tend to be narrow, and their thinking relatively conservative (Lhagyal, 2021).

With the increasingly urgent situation in China’s anti-secession struggle and the pervasive effects of the information society, it is obvious that traditional explicit ideological and political education is unable to meet the needs of contemporary education goals. In the information society, college students, including those in Tibet, are susceptible to encountering bad or illegal information, making them open to its influence. Therefore, there is an urgent need for Tibetan colleges and universities to strengthen ideological and political education to navigate the complexities of the information age.

The ideological and political education of ethnic minorities is an important component of China’s developmental strategy for ideological and political education. In Tibet, an area with unique historial, cultural, and ethnic characteristics, ideological and political education is a crucial task for college students (Yang & Leibold, 2020). Tibet has been an integral part of China since ancient times, with its development and stability closely related to national security and unity. As such, the cultivation of patriotic and law-abiding college students it is essential, as they can contribute to the social and economic progress of Tibet and the country (Zhang & Tsung, 2020).

Still, ideological and political education in Tibetan universities face many challenges, including the influence of separatist forces, ineffective teaching methods, and low levels of information technology (Yeh & Makley, 2019). To address these issues, this article proposes a natural language model in the ideological education curriculum. This model aims to improve the accuracy of students’ document searches and enhance their interest and motivation to learn ideological and political knowledge. Recognizing students as important talents in national development, it emphasizes the value of aligning with the trends of the information society. Students are encouraged to actively improve their proficiency in information technology and enhance their awareness of information search. The emergence of document retrieval, propelled by advancements in information technology, highlights the goal of teaching: to improve students’ information literacy.

Natural language processing (NLP) is a branch of artificial intelligence (AI) that deals with the interaction between human languages and computers. It can analyze, understand, generate, and manipulate natural language texts or speech (Bum, 2018). NLP finds applications in a variety of fields, such as information retrieval, machine translation, sentiment analysis, text summarization, and question answering (Foggin, 2018). This article aims to explore the use of NLP technology to strengthen ideological and political education in Tibetan universities.

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