Motivating students to ask more questions

Yuan Wang, Turner Bohlen, Linda Elkins-Tanton, James Tanton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Students don’t ask enough questions in classrooms, in person or online. Asking questions has been found to be a critical skill toward developing critical thinking abilities, improve learning performance, as well as career development. However, ‘how to ask productive questions’ as a key skill, is not well studied. Therefore, the present paper introduces the question productivity index (QPI) and explores ways toward quantitatively and reliably measure student-generated questions.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings
EditorsSeiji Isotani, Peter Hastings, Amy Ogan, Bruce McLaren, Rose Luckin, Eva Millán
PublisherSpringer Verlag
Pages409-412
Number of pages4
ISBN (Print)9783030232061
DOIs
StatePublished - Jan 1 2019
Event20th International Conference on Artificial Intelligence in Education, AIED 2019 - Chicago, United States
Duration: Jun 25 2019Jun 29 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11626 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Education, AIED 2019
CountryUnited States
CityChicago
Period6/25/196/29/19

    Fingerprint

Keywords

  • Critical thinking
  • Learning analytics
  • Question productivity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wang, Y., Bohlen, T., Elkins-Tanton, L., & Tanton, J. (2019). Motivating students to ask more questions. In S. Isotani, P. Hastings, A. Ogan, B. McLaren, R. Luckin, & E. Millán (Eds.), Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings (pp. 409-412). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11626 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-23207-8_75