Designing and Testing Assessments and Scaffolds for Mathematics Practices in Science Inquiry

Joe Olsen, Janice Gobert

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

Abstract

This project seeks to operationalize the mathematics practices that are needed for mathematically-integrated science inquiry, as outlined in the NGSS, and examine the effects of scaffolding these on competencies on the mathematics practices and on content acquisition. Using Evidence-Centered Design, I will design and pilot an assessment that can assess and scaffold competency in mathematics practices integral to virtual scientific inquiry. The assessment and scaffolds will be piloted with students and tested as to their efficacy at improving students’ competencies on the practices of interest.After scaffolding on the practices (versus control), students will investigate two new phenomena. Statistical analyses will test if competencies on the practices are predictive of content acquisition in the new topics. The fine-grained operationalization of the practices into sub-practices and the empirical link of scaffolding these on content acquisition have implications for both research as well as science assessment and instruction.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings
EditorsIdo Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages476-481
Number of pages6
ISBN (Print)9783030782696
DOIs
StatePublished - 2021
Event22nd International Conference on Artificial Intelligence in Education, AIED 2021 - Virtual, Online
Duration: Jun 14 2021Jun 18 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12749 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Artificial Intelligence in Education, AIED 2021
CityVirtual, Online
Period6/14/216/18/21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Intelligent tutoring systems
  • Mathematics practices
  • Science inquiry

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