Situating deep multimodal data on game-based STEM learning

Craig G. Anderson, John V. Binzak, Jennifer Dalsen, Jenny Saucerman, Anna Jordan-Douglass, Vishesh Kumar, Aybuke Turker, Matthew Berland, Kurt Squire, Constance Steinkuehler

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

2 Scopus citations

Abstract

As STEM embedded games become more prevalent in classrooms, the need for teachers and researchers to understand the ways in which students learn in these complex environments increases. This paper describes a multimodal datastream approach to understanding student learning in an informal game-embedded curriculum. Through a multistream approach, we have more information on what students are using and how they are improving, which in preliminary analyses, proves to be more complex than one might think. Importance of multiple data streams in analyzing complex learning environments and future directions for more complex analyses are discussed.

Original languageEnglish (US)
Title of host publication12th International Conference of the Learning Sciences, ICLS 2016
Subtitle of host publicationTransforming Learning, Empowering Learners, Proceedings
EditorsChee-Kit Looi, Joseph L. Polman, Peter Reimann, Ulrike Cress
PublisherInternational Society of the Learning Sciences (ISLS)
Pages974-977
Number of pages4
Volume2
ISBN (Electronic)9780990355083
StatePublished - 2016
Externally publishedYes
Event12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 - Singapore, Singapore
Duration: Jun 20 2016Jun 24 2016

Other

Other12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016
Country/TerritorySingapore
CitySingapore
Period6/20/166/24/16

Bibliographical note

Publisher Copyright:
© ISLS.

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