Seeking Exemplars in the Wild: Exploring How Students Find Design Examples to Support Personalized Learning

Yu Chun Grace Yen, Steven P. Dow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Examples help students learn insights about key domain principles and processes. However, little is known about how students leverage the Web to discover and learn from examples. In a comparative study, seventy undergraduate students leveraged three types of platforms - - search-based, crit-based, and portfolio-based platforms - -to find examples that represent contrasting cases of two design principles. Students reported how each platform's features and mechanisms affected their approach. We identify three main strategies students employed for finding examples on the Web: developing keywords, visually comparing multiple examples, and leveraging community feedback to assess example quality. Our results also indicate that, despite giving access to many examples, none of the existing platforms provide explicit support for learning. We distill three guidelines for creating learner-centered online design galleries to help future learners gain design knowledge.

Original languageEnglish
Title of host publicationL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
PublisherAssociation for Computing Machinery, Inc
Pages418-421
Number of pages4
ISBN (Electronic)9781450391580
DOIs
StatePublished - 1 Jun 2022
Event9th Annual ACM Conference on Learning at Scale, L@S 2022 - New York City, United States
Duration: 1 Jun 20223 Jun 2022

Publication series

NameL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale

Conference

Conference9th Annual ACM Conference on Learning at Scale, L@S 2022
Country/TerritoryUnited States
CityNew York City
Period1/06/223/06/22

Keywords

  • creativity
  • design
  • examples
  • online community
  • personalised learning

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