Using Log Data to Predict Response Behaviors in Classroom Discussions

  • Ruth Wylie
  • Brandon Helding
  • Robert Talbot
  • Michelene T. H. Chi
  • Susan Trickett
  • Rodney D. Nielsen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8474)

Abstract

The Comprehension Seeding system allows students to respond to an open-ended question using tablet computers; the system provides formative feedback to teachers to facilitate discussion and encourage students to engage in reflective behaviors. Data from a semester-long intervention suggested that few students engaged in this reflective process, leading us to question under what conditions the reflection process does or will occur. Using logistic regression, we investigated different ways the system was used, and what types of usage lead to desired, reflective behavior.

Keywords

data mining classroom response technology classroom discussion 

References

  1. 1.
    Paiva, F., Glenn, J., Mazidi, K., Talbot, B., Wylie, R., Chi, M., Dutilly, E., Helding, B., Lin, M., Trickett, S., Nielsen, R.: Comprehension SEEDING: Comprehension through Self Explanation, Enhanced Discussion, and INquiry Generation. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds.) ITS 2014. LNCS, vol. 8474, pp. 283–293. Springer, Heidelberg (2014)Google Scholar
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    Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ruth Wylie
    • 1
  • Brandon Helding
    • 2
  • Robert Talbot
    • 3
  • Michelene T. H. Chi
    • 1
  • Susan Trickett
    • 2
  • Rodney D. Nielsen
    • 4
  1. 1.Arizona State UniversityUSA
  2. 2.Boulder Language TechnologiesUSA
  3. 3.University of Colorado DenverUSA
  4. 4.University of North TexasUSA

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