Diagnosing Natural Language Answers to Support Adaptive Tutoring

نویسندگان

  • Myroslava O. Dzikovska
  • Gwendolyn E. Campbell
  • Charles B. Callaway
  • Natalie B. Steinhauser
  • Elaine Farrow
  • Johanna D. Moore
  • Leslie A. Butler
  • Colin Matheson
چکیده

Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but revert to scripted interaction with short-answer questions during remediation, making adapting dialogue to individual students difficult. We describe a corpus study that shows that there is a relationship between the types of faulty answers and the remediation strategies that tutors use; that human tutors respond differently to different kinds of correct answers; and that re-stating correct answers is associated with improved learning. We describe a design for a diagnoser based on this study that supports remediation in open-ended questions and provides an analysis of natural language answers that enables adaptive generation of tutorial feedback for both correct and faulty answers.

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تاریخ انتشار 2008