PCN: QUANTIFYING LEARNING ACTIVITY FOR ASSESSMENT BASED ON TIME-SERIES COMMENTS

Kazumasa Goda, Tsunenori Mine

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.

References

  1. Brusilovsky P., 2001. Adaptive Hypermedia. User Modeling and User-Adapted Interaction 11, 1-2 (March 2001), 87-110.
  2. Bull S., Greer J., McCalla G., Kettel L., & Bowes J., 2001, User Modelling in I-Help: What, Why, When and How, in M. Bauer, P.J. Gmytrasiewicz, and J. Vassileva (Eds.): UM 2001, LNAI 2109, 117-126.
  3. Gagne, R. M. 1965. The conditions of learning and theory of instruction (1st ed.): Holt, Rinehart & Winston.
  4. Ito, T., & Suzuki, K. 2008. Development of an effective and subtainable system for ID training: Proposing a strategy model of Training of Trainer (ToT). Educational Technology Research, 31(1-2): 13-24.
  5. Keller, F. S., 1968. Goodbye teacher, Journal of Applied Behavior Analysis 1, 79-89.
  6. Van Kleek, M., Shrobe H., 2007. A Practical Activity Capture Framework for Personal Lifetime User Modeling (PLUM), 11th International Conference of User Modeling (UM 2007), 298-302.
  7. Koschmann, T., 1996, Paradigm Shifts and Instructional Technology: An introduction. In T.D. Koschmann (Ed.), CSCL: Theory and practice of an emerging paradigm, Hillsdale, NJ, Lawrence Erlbaum, 1-24.
  8. Martins, A. C., Faria, L., Vaz de Carvalho, C., & Carrapatoso, E., 2008. User Modeling in Adaptive Hypermedia Educational Systems. Educational Technology & Society, 11 (1), 194-207.
  9. Popescu, E., Trigano, P., & Badica, C. 2007. Towards a unified learning style model in adaptive educational systems. Procs. ICALT 2007, 804-808
  10. Romero C., Ventura S., 2007. Educational data mining: A survey from 1995 to 2005, Expert Systems with Applications 33 (2007) 135-146.
  11. Zimmerman, B. J., 1990. Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25, 3-17.
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Paper Citation


in Harvard Style

Goda K. and Mine T. (2011). PCN: QUANTIFYING LEARNING ACTIVITY FOR ASSESSMENT BASED ON TIME-SERIES COMMENTS . In Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011) ISBN 978-989-8425-50-8, pages 419-424. DOI: 10.5220/0003478404190424


in Bibtex Style

@conference{attel11,
author={Kazumasa Goda and Tsunenori Mine},
title={PCN: QUANTIFYING LEARNING ACTIVITY FOR ASSESSMENT BASED ON TIME-SERIES COMMENTS},
booktitle={Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011)},
year={2011},
pages={419-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003478404190424},
isbn={978-989-8425-50-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011)
TI - PCN: QUANTIFYING LEARNING ACTIVITY FOR ASSESSMENT BASED ON TIME-SERIES COMMENTS
SN - 978-989-8425-50-8
AU - Goda K.
AU - Mine T.
PY - 2011
SP - 419
EP - 424
DO - 10.5220/0003478404190424