Abstract
Extracurricular reading can broaden the horizons of college students. Exploring the patterns of students’ extracurricular learning and analyzing the relationships between extracurricular learning interests and book borrowing behaviours and the intervention mechanism of book borrowing can provide scientific guidance and basis for the comprehensive development of college students. Most of the existing learning interest analysis models have ignored other feedbacks generated in learner’s behaviours, and there are very few studies on learning interests based on book borrowing behaviours. Therefore, this paper conducts an analysis of college students’ extracurricular learning interests based on book borrowing behaviours. Based on the data of college students’ book borrowing behaviours obtained from the service terminal of the library management system, an extracurricular learning interest model for learners was constructed, and the extracurricular learning interest degrees of college students were calculated based on the borrowing time and the number of borrowing times. A multi-layer interest model based on knowledge graph was also constructed to further improve the accuracy of the analysis results of learners’ extracurricular learning interests.
Highlights
Books are the “intellectual food” for college students [1-6]
In order to discuss the effects of the number of book class attributes on the extracurricular learning interests of college students, an ablation experiment was carried out to compare and verify the proposed model with the shallow-level interest model, the deep-level interest model, and the model combining the two levels of interests
It can be seen that the recall rate of the deep-level extracurricular learning interest model based on knowledge graph mining significantly improved
Summary
Books are the “intellectual food” for college students [1-6]. Unlike in senior high school, college students have more extracurricular study time, and reading is their most important extracurricular activity [7-11]. Liang et al [17] proposed a method based on reading behaviours to capture users’ interests in online learning systems, which requires pre-defined topic ontology as the reference for constructing user’s interest model. It used a behaviour matrix and a weight matrix to calculate the user’s interests in each leaf topic in the topic ontology. The theoretical methods for studying students’ learning interests with the use of big data have provided some new ideas for the analysis of college students’ extracurricular learning interests based on book borrowing behaviours in this paper. The experimental results prove the feasibility of the proposed model for analysis of the extracurricular learning interests of college students
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Emerging Technologies in Learning (iJET)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
