TY - GEN
T1 - Automatic summarization of lecture slides for enhanced student preview
AU - Shimada, Atsushi
AU - Okubo, Fumiya
AU - Yin, Chengjiu
AU - Ogata, Hiroaki
N1 - Funding Information:
This research was supported by “Research and Development on Fundamental and Utilization Technologies for Social Big Data” (178A03), the Commissioned Research of the National Institute of Information and Communications Technology (NICT), Japan.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:85030092686
T3 - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
SP - 218
EP - 227
BT - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
A2 - Lan, Yu-Ju
A2 - Shyu, Hsin-Yih
A2 - Yin, Chengjiu
A2 - Ogata, Hiroaki
A2 - Chen, Wenli
A2 - Jan, Ming-Fong
A2 - Murthy, Sahana
A2 - Wu, Ying-Tien
A2 - Kong, Siu Cheung
A2 - Gu, Xiaoqing
A2 - Kim, Beaumie
A2 - Miao, Yongwu
A2 - Srisawasdi, Niwat
A2 - Wang, Yuping
A2 - Lin, Chiu-Pin
A2 - Chu, Carol H.C.
A2 - Laru, Jari
A2 - Nussbaum, Miguel
A2 - Rodrigo, Ma. Mercedes T.
A2 - Shih, Ju-Ling
A2 - Weerasinghe, Amali
A2 - Chen, Weiqin
A2 - Qiu, Feiyue
A2 - Dimitrova, Vania
A2 - Hsu, Ching-Kun
A2 - Wong, Lung-Hsiang
A2 - Chang, Maiga
A2 - Hoel, Tore
A2 - Li, Yen-Hui Audrey
A2 - Mason, Jon
A2 - Sasaki, Hitoshi
A2 - Zhang, Li
PB - Asia-Pacific Society for Computers in Education
T2 - 23rd International Conference on Computers in Education, ICCE 2015
Y2 - 30 November 2015 through 4 December 2015
ER -