Abstract
Recently, most of the universities in Korea is doing a lecture evaluation survey every semester. The continuous quality improvement (CQI) report is one of the most popular lecture evaluation service systems, which able to summaries and analysis the mean of evaluation reports. Since 2016, education office allows CQI system to begin uploads and analysis the CQI report in all subjects. To improve the school and support to students, the school has to do a lecture evaluation after midterm and final exam every semester. The problems are the school getting so long to make the report on students lecture evaluation. In this paper, we propose a summary keywords extraction method form CQI and represented as graph tools based on centrality. We expected that this method can be efficiently extracted the most important relation keywords from huge CQI data of each lecture evaluations to summaries for the report.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A3B03933370 and NRF-2018R1D1A1B07045838).
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Pheaktra, T., Lim, J., Lee, J., Gil, JM. (2020). A Keyword Extraction Scheme from CQI Based on Graph Centrality. In: Park, J., Yang, L., Jeong, YS., Hao, F. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2019 2019. Lecture Notes in Electrical Engineering, vol 590. Springer, Singapore. https://doi.org/10.1007/978-981-32-9244-4_22
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DOI: https://doi.org/10.1007/978-981-32-9244-4_22
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