Habitat tracker: Learning about scientific inquiry through digital journaling in wildlife centers

Paul F. Marty, Ian Douglas, Sherry A. Southerland, Victor Sampson, Nicole D. Alemanne, Amanda Clark, Anne Mendenhall, Aldo De La Paz, Casey Yu

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

2 Scopus citations

Abstract

This poster presents preliminary results from an ongoing research project designed to help elementary school students learn about scientific inquiry. Florida State University, in partnership with the Tallahassee Museum (a wildlife center in Tallahassee, FL), has developed a digital journaling system that uses online and mobile technologies to help students better understand the nature of science. The project's goal is to encourage students to become active participants in the scientific inquiry process by collecting and analyzing data about natural habitats, before, during, and after visits to a wildlife center. Preliminary results show that a mobile learning application specifically designed for elementary school students can support the scientific inquiry process at wildlife centers and in the classroom, and help students master the scientific inquiry and nature of science benchmarks advocated by science education reform efforts.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 iConference
Subtitle of host publicationCulture, Design, Society, iConference 2012
Pages560-562
Number of pages3
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 iConference: Culture, Design, Society, iConference 2012 - Toronto, ON, Canada
Duration: Feb 7 2012Feb 10 2012

Publication series

NameACM International Conference Proceeding Series

Other

Other2012 iConference: Culture, Design, Society, iConference 2012
Country/TerritoryCanada
CityToronto, ON
Period2/7/122/10/12

Keywords

  • collaboration
  • curriculum
  • education
  • field trips
  • scientific inquiry

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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