420
Views
7
CrossRef citations to date
0
Altmetric
Research Papers

Authentic learning using mobile applications and contemporary geospatial information requirements related to Environmental Science

ORCID Icon, ORCID Icon & ORCID Icon
Pages 185-203 | Received 08 Jan 2019, Accepted 07 Nov 2020, Published online: 25 Nov 2020
 

ABSTRACT

In this paper, we examine the potential of authentic learning activities and assessment to enhance the student learning experience in a standalone introductory geospatial information science module. Computer laboratory sessions form seventy-five percent of contact hours and final grade, so authentic learning used a field-based project with specified features, study area and aerial photo form the basis of assessment. The class collects all relevant geospatial information using mobile devices. Students present personally collected, and class-merged geospatial information as workplace style reports in scaffolded assessments. All submitted data are collected by the class and managed by the students. Essential skills and employment opportunities using GIS skills form the basis of authenticity of this module and guide student expectations. We evaluate outcomes through a two-year case study examining design, implementation and revision of the Unit, by using a mixed-methods approach including multiple, staged student surveys, focus groups, and student results. A focus on authenticity increased student appreciation of employability in GIS-related positions, and students reported increased motivation to learn.

Disclosure statement

No potential conflict of interest was reported by the authors.

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 1,038.00 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.