973
Views
23
CrossRef citations to date
0
Altmetric
Articles

Dispositions Toward Teaching Spatial Thinking Through Geography: Conceptualization and an Exemplar Assessment

Pages 198-207 | Published online: 18 Feb 2014
 

ABSTRACT

The primary objectives of this article are: (1) to conceptualize teacher dispositions related to teaching spatial thinking in geography classrooms; and (2) to propose an exemplar assessment that can be used to prepare teachers who are disposed toward teaching spatial thinking through geography. A detailed description of the construction procedures and potential uses of the assessment are presented with suggestions for future research and applications.

Appendix. Teaching Spatial Thinking Through Geography Disposition Inventory

Additional information

Notes on contributors

Injeong Jo

Injeong Jo is an assistant professor of geography at Texas State University, San Marcos, Texas, USA. Her research interests include geography and spatial thinking education, teacher preparation, assessment in geography, and geospatial technologies in education.

Sarah Witham Bednarz

Sarah Witham Bednarz is a professor of geography and associate dean for academic affairs for the College of Geosciences at Texas A&M University, College Station, Texas, USA. She served on the committee that produced the report from the National Research Council Learning to Think Spatially (2006) and cochaired the Geography Education Research Committee of the Roadmap for 21st Century Geography Education Project in 2011–2013.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 62.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.