Construction of higher education knowledge map in university libraries based on MOOC

Author:

Deng Yazhong

Abstract

Purpose The purpose of this study was to establish a massive online open course (MOOC)-based map of higher education knowledge and apply it to university libraries. It hoped to provide more targeted and personalized learning services for every learner. Design/methodology/approach In this study, MOOC and university library information services were outlined, the development status of MOOC at home and abroad and the development of university library information services were introduced, and the necessity and significance of MOOC in developing information services in university libraries were analyzed. What is more, the knowledge map of university libraries was explored. The four modules include the construction of data sets, the identification of related entities from plain text, the extraction of entity relationships and the practical application of knowledge maps. For the logical relationship of the course, a combination of knowledge base and machine learning was adopted. In the knowledge map application module, the knowledge map was visualized. Aiming at the generation of personalized learning scheme, a prior data set was constructed by means of the knowledge base. The original problem was considered as a multi-classification problem. K-nearest neighbor classifier divided all courses into four academic years to obtain all courses. According to the course stage, the personalized learning scheme of some majors in higher education was obtained. Findings The experiment showed that it was feasible to apply the higher education knowledge map based on MOOC to university libraries. In addition, it was effective to divide the course into four stages by classifier. In this way, the specific professional training program can be obtained, the information service of the university library can be improved, and the accuracy and richness of the entire learning program can be increased. Research limitations/implications Due to the limitations of conditions, time and other aspects, there were not many opportunities to visit the field library, which led to limited level and imperfect research. There were many proper nouns and professional terms in foreign references, but my English translation ability was limited. The relevant investigation on foreign studies may not be detailed and comprehensive enough, and the analysis and induction of influencing factors of university library information service may not be rigorous and concise enough. Practical implications As the base of university information dissemination, the university library is the source of knowledge. At the same time, it is also the temple of students’ independent learning and the media of mainstream culture and improving its own information service level is also in line with the trend of The Times. Under this background, this research studied the influence of MOOC on university library information service and focused on the challenges and opportunities faced by university library information service in the MOOC environment, so as to continuously improve its cultural serviceability and better serve teachers and students. Originality/value Since the birth of MOOC, they have exerted great influence and enlightenment on universities and relevant educational institutions within a few years. European and American universities take an active part in the construction of the MOOC platform and explore how to make better use of the library to build MOOC resources in practice. It is also a hot topic for university libraries to participate in the construction of MOOC information resources. Therefore, the study of this topic has both theoretical and practical significance.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic literature review of knowledge graph construction and application in education;Heliyon;2024-02

2. A Survey of Personalized Adaptive Learning System;2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT);2023-09-15

3. Personalized Hybrid Recommendation Algorithm for MOOCs Based on Learners’ Dynamic Preferences and Multidimensional Capabilities;Applied Sciences;2023-04-29

4. Open data: an innovative learning resource for postgraduates;Library Hi Tech;2023-01-17

5. Ontology-Based Methodology for Knowledge Maps Design;Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23);2023

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