Note-Taking Evaluation using Network Illustrations based on Term Co-Occurrence in a Blended Learning Environment

Abstract

Note contents taken by students during a blended learning course were evaluated, to improve the quality of university instruction. To conduct a quantitative comparison of the contents of all notes for effective instruction from lecturer to students to occur, the contents were mathematically compared and evaluated using two ways of summarizing the frequency of term co-occurrences. In order to evaluate visually the differences between the contents of notes taken, an adjacency matrix and Levenshtein distance metrics were employed to represent noun co-occurrence in the notes. In comparing notes between the lecturer and students, insufficient distance and additional distance are defined and measured for all participants during the course. In the results, students recorded additional nouns to replace the nouns given by the lecturer, and introduced new nouns of their own as substitutes as well. There are significant correlation relationships between the above mentioned distances and the ratios, such as between the word ratio and coverage, which have been defined in previous studies. Also, summarizing ways of co-occurrence frequency did not affect any of the relationships. Finally, possible applications for visualizing learning activities of the lecturer and students are discussed.

[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment

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The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment

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