Comprehension SEEDING: Comprehension through Self Explanation, Enhanced Discussion, and INquiry Generation

  • Frank Paiva
  • James Glenn
  • Karen Mazidi
  • Robert Talbot
  • Ruth Wylie
  • Michelene T. H. Chi
  • Erik Dutilly
  • Brandon Helding
  • Mingyu Lin
  • Susan Trickett
  • Rodney D. Nielsen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8474)

Abstract

In this paper we introduce the Comprehension SEEDING system and describe the system components designed to enhance classroom discussion by providing real-time formative feedback to teachers. Using SEEDING, teachers ask free-response questions. As students are constructing their responses using digital devices, SEEDING allows teachers to assess a student’s understanding. Once SEEDING collects student responses, the system automatically groups them based on semantic similarity. Teachers can use this information to address student misconceptions and engage the classroom from a more informed perspective. This paper describes the SEEDING system and how it can be used to aid teachers and improve classroom discussion.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Frank Paiva
    • 1
  • James Glenn
    • 1
  • Karen Mazidi
    • 1
  • Robert Talbot
    • 2
  • Ruth Wylie
    • 3
  • Michelene T. H. Chi
    • 3
  • Erik Dutilly
    • 4
  • Brandon Helding
    • 5
  • Mingyu Lin
    • 1
  • Susan Trickett
    • 5
  • Rodney D. Nielsen
    • 1
  1. 1.University of North TexasUSA
  2. 2.University of Colorado DenverUSA
  3. 3.Arizona State UniversityUSA
  4. 4.University of Colorado BoulderUSA
  5. 5.Boulder Language TechnologiesUSA

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