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Exploring the Effect of Response Time on Students’ Performance: A Pilot Study

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 11475)

Abstract

Teaching mediated by computers allows tracing some forms of students’ participation as all their actions/reactions are recorded including time spent on any pedagogical resource offered. For a quiz, response time provides an additional variable enriching the simple correctness of answers. The present study intends to describe and model different patterns of time-related participation, performances (answer correctness) and the relation between the two parameters which measures the time productivity using quantile regression.

Keywords

  • Response time
  • Learning and teaching analytics
  • Quantile regression
  • Audience Response

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Notes

  1. 1.

    https://en.oxforddictionaries.com/definition/audience.

  2. 2.

    Translation by the authors.

References

  • Aguilar, S.J.: Learning analytics: at the nexus of big data, digital innovation, and social justice in education. TechTrends 62(1), 37–45 (2018)

    MathSciNet  CrossRef  Google Scholar 

  • Cosnefroy, L.: L’apprentissage autorégulé: perspectives en formation d’adultes. Savoirs 23(2), 9–50 (2011)

    CrossRef  Google Scholar 

  • Davino, C., Furno, M., Vistocco, D.: Quantile Regression: Theory and Applications. Wiley, New York (2013)

    MATH  Google Scholar 

  • Fischer, R., Plessow, F.: Efficient multitasking: parallel versus serial processing of multiple tasks. Front. Psychol. 6, 1366 (2015)

    Google Scholar 

  • Koenker, R.: Quantile Regression. Econometric Society, Monographs No. 38. Cambridge, New York (2005)

    Google Scholar 

  • Lasry, N., Watkins, J., Mazur, E., Ibrahim, A.: Response times to conceptual questions. Am. J. Phys. 81(9), 703–706 (2013)

    CrossRef  Google Scholar 

  • Miller, K., Lasry, N., Lukoff, B., Schell, J., Mazur, E.: Conceptual question response times in Peer Instruction classrooms. Phys. Rev. Spec. Top. Phys. Educ. Res. 10(2), 020113-1–020113-6 (2014)

    Google Scholar 

  • Schnipke, D.L., Scrams, D.J.: Modeling item response times with a two-state mixture model: a new method of measuring speededness. J. Educ. Meas. 34, 213–232 (1997)

    CrossRef  Google Scholar 

  • Schnipke, D.L., Scrams, D.J.: Exploring issues of examinee behavior: insights gained from response-time analyses. In: Mills, C.N., Potenza, M.T., Fremer, J.J., Ward, W.C. (eds.) Computer-Based Testing: Building the Foundation for Future Assessments, pp. 237–266. Laurence Erlbaum Associate Publishers, Mahwah (2002)

    Google Scholar 

  • Wise, S.L., Kong, X.: Response time effort: a new measure of examinee motivation in computer-based tests. Appl. Meas. Educ. 18(2), 163–183 (2005)

    CrossRef  Google Scholar 

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Correspondence to Cristina Davino .

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Davino, C., Zilberberg, E. (2019). Exploring the Effect of Response Time on Students’ Performance: A Pilot Study. In: Calise, M., Delgado Kloos, C., Reich, J., Ruiperez-Valiente, J., Wirsing, M. (eds) Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge. EMOOCs 2019. Lecture Notes in Computer Science(), vol 11475. Springer, Cham. https://doi.org/10.1007/978-3-030-19875-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-19875-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19874-9

  • Online ISBN: 978-3-030-19875-6

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