Abstract
These days, many university teachers are concerned about the increasing number of students whose motivation is declining. Some of them fall into a situation that they cannot recover from by themselves, and require assistance, but they hesitate to call for help. In order to recognize such students quickly and give guidance to them in class, we have collected time-series comments in the classroom and analyzed them. In the analysis, we divided the comments into the three time slots: P (Previous), C (Current), and N (Next), and quantify them so that we can infer the learning behaviors between the previous and the current classes. We call this analysis method the PCN method. The PCN method is useful for grasping students’ learning status in the class. Some of our case studies illustrate the validity of the PCN method.
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References
Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User-Adapted Interaction 11(1-2) , 87–110 ( 2001) ;Bull, S., Greer, J., McCalla, G., Kettel, L., Bowes, J.: User Modelling in I-Help: What, Why, When and How. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) UM 2001. LNCS (LNAI), vol. 2109, pp. 117–126. Springer, Heidelberg (2001)
Burstein, J., Wolska, M.: Toward evaluation of writing style: Finding overly repetitive word use in student essays. In: Proc. of the 11th Conference of the European Chapter of the Association for Computational Linguistics (2003)
Gagne, R.M.: The conditions of learning and theory of instruction, 1st edn. Holt, Rinehart & Winston, New York (1965)
Ishioka, T., Kameda, M.: Automated Japanese Essay Scoring System based on Articles Written by Experts. In: Proc. of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp. 233–240. Association for Computational Linguistics (2006)
Ito, T., Suzuki, K.: Development of an effective and sustainable system for ID training: Proposing a strategy model of Training of Trainer (ToT). Educational Technology Research 31(1-2), 13–24 (2008)
Keller, F.S.: Goodbye teacher. Journal of Applied Behavior Analysis 1, 79–89 (1968)
Van Kleek, M., Shrobe, H.: A Practical Activity Capture Framework for Personal Lifetime User Modeling (PLUM). In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 298–302. Springer, Heidelberg (2007)
Koschmann, T.: Paradigm Shifts and Instructional Technology: An introduction. In: Koschmann, T.D. (ed.) CSCL: Theory and Practice of an Emerging Paradigm, pp. 1–24. Lawrence Erlbaum, Hillsdale (1996)
Martins, A.C., Faria, L., Vaz de Carvalho, C., Carrapatoso, E.: User Modeling in Adaptive Hypermedia Educational Systems. Educational Technology & Society 11(1), 194–207 (2008)
Popescu, E., Trigano, P., Badica, C.: Towards a unified learning style model in adaptive educational systems. In: Proc. ICALT 2007, pp. 804–808 (2007)
Romero, C., Ventura, S.: Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications 33, 135–146 (2007)
Zimmerman, B.J.: Self-regulated learning and academic achievement: An overview. Educational Psychologist 25, 3–17 (1990)
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Goda, K., Mine, T. (2011). Analysis of Students’ Learning Activities through Quantifying Time-Series Comments. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_16
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DOI: https://doi.org/10.1007/978-3-642-23863-5_16
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