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

机译:在混合学习环境中使用基于术语共现的网络插图进行笔记评估

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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.
机译:对学生在混合学习课程中记录的笔记内容进行了评估,以提高大学教学的质量。为了对所有笔记的内容进行定量比较,以便从讲师到学生进行有效的指导,对这些内容进行了数学比较和评估,使用了两种总结术语共现频率的方法。为了直观地评估所记笔记内容之间的差异,采用了邻接矩阵和Levenshtein距离度量来表示笔记中名词的共现。在比较讲师和学生的笔记时,为课程中的所有参与者定义和测量了不足的距离和额外的距离。在结果中,学生录制了其他名词来代替讲师给出的名词,并介绍了自己的新名词作为替代词。在前面提到的距离和比率之间存在着显着的相关关系,例如单词比率和覆盖率之间已经存在相关关系。同样,总结共现频率的方式也不会影响任何关系。最后,讨论了可视化讲师和学生的学习活动的可能应用。

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