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DeepTutor: towards macro- and micro-adaptive conversational intelligent tutoring at scale

Published:04 March 2014Publication History

ABSTRACT

We present an overview of the design of a conversational intelligent tutoring system, called DeepTutor, based on the framework of Learning Progressions. Learning Progressions capture students' successful paths towards mastery. The assumption of the proposed tutor is that by guiding instruction based on Learning Progressions, the system will be more effective (and efficient for that matter).

References

  1. Duschl, R.A., Schweingruber, H.A., & Shouse, A. (Eds.). (2007). Taking science to school: Learning and teaching science in grades K-8. Washington, DC: National Academy Press.Google ScholarGoogle Scholar
  2. VanLehn, K. 2006 The behavior of tutoring systems. International Journal of Artificial Intelligence in Education. 16 (3), 227--265. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mohan, L.; Chen, J.; and Anderson,W.A. 2009 Developing a multi-year learning progression for carbon cycling in socio-ecological systems. Journal of Research in Science Teaching, 46, 675--6.Google ScholarGoogle ScholarCross RefCross Ref

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  1. DeepTutor: towards macro- and micro-adaptive conversational intelligent tutoring at scale

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    • Published in

      cover image ACM Conferences
      L@S '14: Proceedings of the first ACM conference on Learning @ scale conference
      March 2014
      234 pages
      ISBN:9781450326698
      DOI:10.1145/2556325

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 March 2014

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      Acceptance Rates

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