PCN: Quantifying learning activity for assessment based on time-series comments

Kazumasa Goda, Tsunenori Mine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Learning activity plays important role in enhancing one's knowledge and skill. There are many ways to acquire and extract learning activities of students from their learning information; we focus on comments handwritten in their attendance sheets. It is easy for teachers to collect the sheets every class and for students to write their activities as comments. The sheets consequently provide time-series text data related to students; such the data are treasures because the comments and the questionnaire reflect their learning activities directly and indirectly. We propose a method called a PCN method for quantifying the comments into triple showing inferred learning activities student by student. Case studies illustrate the validity of the PCN method.

Original languageEnglish
Title of host publicationCSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education
Pages419-424
Number of pages6
Volume2
Publication statusPublished - 2011
Event3rd International Conference on Computer Supported Education, CSEDU 2011 - Noordwijkerhout, Netherlands
Duration: May 6 2011May 8 2011

Other

Other3rd International Conference on Computer Supported Education, CSEDU 2011
CountryNetherlands
CityNoordwijkerhout
Period5/6/115/8/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Education

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  • Cite this

    Goda, K., & Mine, T. (2011). PCN: Quantifying learning activity for assessment based on time-series comments. In CSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education (Vol. 2, pp. 419-424)