More Fun Than Ought to be Graded: Assuring Student Learning in Study Abroad Programs

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

Abstract

Study abroad courses provide an excellent opportunity for students to augment their degrees by practical experiences and exposure to new sets of cultural and professional norms and customs. To maximize the utility of such courses, careful planning and execution of itineraries and learning objectives is crucial, while simultaneously allowing students to gather experiences on their own. We highlight lessons learned from a study abroad course with the focus on IT and Data Science, with the aim of enabling other instructors and researchers to set up their own study abroad courses. In addition to a detailed description of planning and management activities, we describe different types of evaluation that can be used to assess a student's participation in such a course. Together with presented lessons learned this article is as a useful resource for educators planning an IT-related study abroad course.

Original languageEnglish (US)
Title of host publicationSIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages113-119
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
CountryUnited States
CityVirtual, Online
Period10/7/2010/9/20

Keywords

  • constructivism
  • experiential learning
  • faculty-led programs
  • information systems education
  • study abroad

ASJC Scopus subject areas

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

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