Visualization of the relationship between lectures and laboratories using SSNMF

This study aims to visualize the relationship between lectures and fields of specialization (laboratories) so that students can choose lectures with a future direction. Since the university curriculum is highly flexible; students choose their own lectures. Taking into account their own objectives, students select the basic knowledge necessary for their purposes. However, it is difficult for students without sufficient knowledge to understand their relevance from the syllabus. The purpose of this study is to propose a method for estimating the relevance between lectures and laboratories in an undergraduate school as a help to provide students with an objective analysis of lectures, i.e., not only knowledge but also examples of its use. The proposed method applies a semi-supervised non-negative matrix factorization to identify common factors of knowledge in each combination of lecture and laboratory. It is suggested that the proposed method calculates reasonable results for the relationship between lectures and laboratories.