Coding and analyzing scientific observations from middle school students in minecraft

Sherry Yi, Matt Gadbury, H. Chad Lane

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

Abstract

The importance of promoting interest in STEM is crucial to the recruitment and retainment of underrepresented populations in the STEM field. We coded scientific observations made by participants from a one-week summer camp program centered around astronomy using Minecraft, breaking down the types of scientific observations and their level of quality using Cohen’s Kappa. Results showed that the majority of observations are descriptive, comparative, inferential, or analogous, as opposed to being off topic or factual. We discuss possible reasons for this distribution and design implications for future reiterations.

Original languageEnglish (US)
Title of host publication14th International Conference of the Learning Sciences
Subtitle of host publicationThe Interdisciplinarity of the Learning Sciences, ICLS 2020 - Conference Proceedings
EditorsMelissa Gresalfi, Ilana Seidel Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1787-1788
Number of pages2
ISBN (Electronic)9781732467279
StatePublished - 2020
Event14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 - Nashville, United States
Duration: Jun 19 2020Jun 23 2020

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume3
ISSN (Print)1573-4552

Conference

Conference14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
Country/TerritoryUnited States
CityNashville
Period6/19/206/23/20

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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