Abstract
In this paper we show that the C4.5 machine learning algorithm, applied to a number of syntactic features in transcripts, can be used to accurately differentiate between two expert human tutors. Although these tutors had taught together for years and explicitly discussed their tutoring style with one other, an analysis based on frequency of parts of speech and higher-level syntactic constructs was able to easily separate their productions.
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References
Chi, M.: Active-constructive-interactive: A Conceptual Framework for Differentiating Learning Activities. Topics in Cognitive Science 1, 73–105 (2009)
Graesser, A., McNamara, D., VanLehn, K.: Scaffolding Deep Comprehension Strategies through Point & Query, AutoTutor, and iSTART. Educational Psychologist 40, 225–234 (2005)
Stamatatos, E.: A Survey of Modern Authorship Attribution Methods. Journal of the American Society for Information Science and Technology 60(3), 538–556 (2009)
Graesser, A., McNamara, D., Louwerse, M., Cai, Z.: Coh-Metrix: Analysis of Text on Cohesion and Language. Behavior Research Methods, Instruments and Computers 36, 193–202 (2004)
Evens, M., Michael, J.: One-on-One Tutoring by Humans and Computers. Erlbaum, Mahwah (2006)
Klein, D., Manning, C.: Accurate unlexicalized parsing. In: Proceedings of the 41st Meeting of the Association for Computational Linguistics, pp. 423-430 (2003)
Santorini, B. Part-of-Speech Tagging Guidelines for the Penn Treebank Project. University of Pennsylvania, Natural Language Processing Project. Technical Report MS–CIS-90-47 LINC LAB 178 (1995)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1), 10–19 (2009)
Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1992)
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Freedman, R., Krieghbaum, D. (2015). Comparison of Expert Tutors Through Syntactic Analysis of Transcripts. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_65
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DOI: https://doi.org/10.1007/978-3-319-19773-9_65
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