Successful Undergraduate-level Experiential Learning Projects: A Stakeholder Perspective

Margeret Hall, April Goettle, Connor Carson, Jess Collicott, Kim Dietz, Kip Smith

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

Abstract

Experiential learning posits that learning occurs on the basis of practice; in technology courses this is often practiced as real or near to real life projects. Successful student-led project implementation has multiple definitions in the undergraduate learning context. In the best of cases, all stakeholders including students, instructors, community partners, and clients assess the course as having concluded successfully. This experience report blends these perspectives about the methods of and barriers to success in real-life student project scenarios. Based on the results of semester-long, enterprise level software implementation projects, we deliver generalizable lessons and implementation principles for instructors who wish to implement experiential learning in technology courses as a function of classroom learning and assessment.

Original languageEnglish (US)
Title of host publicationSIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages106-112
Number of pages7
ISBN (Electronic)9781450370455
DOIs
StatePublished - Oct 7 2020
Event21st Annual Conference of the Special Interest Group in Information Technology Education, SIGITE 2020 - Virtual, Online, United States
Duration: Oct 7 2020Oct 9 2020

Publication series

NameSIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education

Conference

Conference21st Annual Conference of the Special Interest Group in Information Technology Education, SIGITE 2020
Country/TerritoryUnited States
CityVirtual, Online
Period10/7/2010/9/20

Keywords

  • assessment and evaluation
  • experiential learning
  • service learning
  • software development

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Science Applications
  • Software

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