Scaling Collaborative Learning: Using the Community Digital Library to Enrich Course Content

Kevin Ros, Cheng Xiang Zhai

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

Abstract

The ability for a student to discover and learn from online material outside of a course's core curriculum is critical for generalized understanding. However, such a process is often limited by various factors, including efficiency, redundancy, feasibility, and a lack of domain knowledge. We propose to optimize this discovery process and facilitate student collaboration in seeking online information relevant to the course by leveraging the Community Digital Library (CDL) as a tool for enabling students and instructors to enrich course content by collaboratively indexing, searching, and discovering course-related webpages. As a collaborative learning tool, the CDL also enables instructors to identify topics in the lectures that should be improved over time. We report promising preliminary results using CDL for a graduate course.

Original languageEnglish (US)
Title of host publicationSIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
PublisherAssociation for Computing Machinery
Pages1798-1799
Number of pages2
ISBN (Electronic)9798400704246
DOIs
StatePublished - Mar 14 2024
Event55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024 - Portland, United States
Duration: Mar 20 2024Mar 23 2024

Publication series

NameSIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
Volume2

Conference

Conference55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024
Country/TerritoryUnited States
CityPortland
Period3/20/243/23/24

Keywords

  • collaborative search
  • community digital library
  • information retrieval
  • online learning
  • social tagging
  • web search engines

ASJC Scopus subject areas

  • General Computer Science
  • Education

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