Understanding Collaborative Question Posing During Computational Modeling in Science

Caitlin Snyder, Nicole M. Hutchins, Gautam Biswas, Mona Emara, Bernard Yett, Shitanshu Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Curricular standards in STEM [9] and computer science have emphasized the role of asking questions to support inquiry learning in K-12 education. In this paper, we examine the role of questioning during collaborative computational modeling of scientific processes through discourse analysis to understand how students grapple with the synergistic application of STEM and CT to build, test, and evaluate their models. To our knowledge, limited research has targeted a systematic understanding of question posing during computational modeling in science. We aim to develop a better understanding of question posing in support of inquiry and problem-solving during model building.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 21st International Conference, AIED 2020, Proceedings
EditorsIg Ibert Bittencourt, Mutlu Cukurova, Rose Luckin, Kasia Muldner, Eva Millán
Pages296-300
Number of pages5
DOIs
StatePublished - 2020
Event21st International Conference on Artificial Intelligence in Education, AIED 2020 - Ifrane, Morocco
Duration: 6 Jul 202010 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12164 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Artificial Intelligence in Education, AIED 2020
Country/TerritoryMorocco
CityIfrane
Period6/07/2010/07/20

Keywords

  • Collaborative learning
  • Question posing
  • Synergistic learning

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