In this research, we will build a library material recommendation system that promotes self-study by implementing a link function and feedback function with the library system in the digital teaching material distribution system BookRoll.
Overview
BookRoll can display textbooks, slides, and other teaching materials on the viewer’s PC during lectures and preview and review sessions. The interaction logging function also can record and analyze the browsing page, browsing time, and marker locations as learning logs. By implementing the library material recommendation function in BookRoll, reference materials from Kyoto University institutional repository, KURENAI, that are related to the teaching materials are displayed to the learners with an objective to deepen their interest in the learning content.
We will implement a function that automatically recommends new collections and research articles from the library system to BookRoll, and allow students to add comments to the recommended library materials. In addition, we will implement a dashboard that gives feedback to faculty members on the usage of library materials recommended by BookRoll.
The above functions enables to automatically analyze the usage status of recommended library materials that are linked to the BookRoll teaching materials. It helps to investigate What kind of library materials are available and linked to the teaching materials?, Who are the university students who have positive effect on their learning behaviors and improvement of grades? In parallel it is also possible to analyze the learning log and provide the status and guide for self-study.
Our system makes it possible to provide an educational approach where recommended learning content aim to further satisfy and deepen students’ interests and also provide them information that promotes self-study.
Expected effect
- Promote evidence-based self-study by recommending library materials using learning logs.
- By immediately recommending new reference materials from the library system, mutual cooperation between library collections and digital teaching materials will be strengthened, visibility of resources that is archived in the library will be improved, and utilization rates of such resources can be expected to improve.
- By recommending new research articles, it becomes possible to trace the relationship between the lecture content and the latest research results. It would also update and deepen the faculty members’ understanding of the specific teaching topic.
- By recommending research articles, the use of open science will also be promoted. It is expected to increase the number of registered papers and the number of citations of registered papers.
- By digitizing and sharing teaching materials, research articles and text books using BookRoll, we will provide “guarantee of learning” by self-study even if the entire university shifts to online classes in the future.
- By providing feedback to the faculty members related to the usage status of the recommended library materials and the students’ annotation, helps them to understand students’ learning behaviors and interests. This is expected to improve the quality of education by enabling reflection on teaching learning practices.