296
Views
0
CrossRef citations to date
0
Altmetric
Articles

Find It on a Map: Country Location Identification in a University Geography Classroom, 2016–2022

ORCID Icon
Pages 105-114 | Received 21 Nov 2022, Accepted 07 Jun 2023, Published online: 29 Jun 2023
 

Abstract

Blank paper maps are often used to assess student location knowledge. A total of 502 students enrolled in 12 undergraduate World Geography classes between 2016 and 2022 were initially asked to find some of the following countries on a blank world map: Afghanistan, Australia, Brazil, Canada, China, France, Germany, India, Iran, Iraq, Japan, Mexico, Nigeria, North Korea, Russia, Syria, Ukraine, the United Kingdom, the United States, and Venezuela. Comparing student cohorts, results were generally mediocre and consistent over time, yet changes in identification accuracy appear with the beginning of the COVID-19 pandemic and in times of intense US media coverage of a country.

Acknowledgments

The author offers sincere thanks to the hundreds of enthusiastic Arkansas Tech University students who voluntarily participated in this study over the years. The students consistently showed genuine enthusiasm for learning more about the world around them.

Disclosure statement

The author reports there are no competing interests to declare.

Additional information

Notes on contributors

Patrick D. Hagge

Patrick D. Hagge is an Associate Professor of Geography at Arkansas Tech University, where he has taught since 2012.

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.