Automatic Summarization of Lecture Slides for Enhanced Student Preview

Authors

  • Atsushi SHIMADA Faculty of Arts and Science, Kyushu University, Japan Author
  • Fumiya OKUBO Faculty of Arts and Science, Kyushu University, Japan Author
  • Chengjiu YIN Faculty of Arts and Science, Kyushu University, Japan Author
  • Hiroaki OGATA Faculty of Arts and Science, Kyushu University, Japan Author

Abstract

In this paper, we propose a novel method of summarizing lecture slides to enhance preview efficiency and improve students’ understanding of the content. Students are often asked to prepare for a class by reading lecture materials. However, this does not always produce good results because the attention span of students is limited. We conducted a survey involving preview of lecture materials by more than 300 students and found that they want summarized materials to preview. Therefore, we developed an automatic summarization method to reduce the original preview materials to a summarized set. Our approach is based on the use of image processing and text processing to extract important pages from lecture materials, and then optimizing the selection of pages in accordance with a specified preview time. We applied the proposed summarization method to lecture slides. In our user study involving more than 300 students, we compared the relative effectiveness of the summarized slides and the original materials in terms of quiz scores, preview achievement ratio, and time spent previewing. We found that students who previewed the summarized slides achieved better scores on pre-lecture quizzes even though they spent less time previewing the material.

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Published

2015-11-30

How to Cite

Automatic Summarization of Lecture Slides for Enhanced Student Preview. (2015). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3206