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Does Self-Efficacy Matter When Generating Feedback?

  • Matt Dennis
  • Judith Masthoff
  • Helen Pain
  • Chris Mellish
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6738)

Abstract

This study aims to establish how tutors adapt to Generalised Self-Efficacy when providing feedback on progress to a learner. Tutors seem to adapt to learners with low self-efficacy, providing a positive slant to topics on which the learner performed very badly. Results can be used by a conversational agent to adapt feedback to learners’ self-efficacy.

Keywords

Learner Motivation Intelligent Tutoring System Pedagogical Agent Conversational Agent Generate Feedback 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Matt Dennis
    • 1
  • Judith Masthoff
    • 1
  • Helen Pain
    • 2
  • Chris Mellish
    • 1
  1. 1.Department of Computing ScienceUniversity of AberdeenAberdeenUK
  2. 2.School of InformaticsUniversity of EdinburghEdinburghUK

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