Building learning modules around the Competency Index for Linked Data

Zeng, Marcia Lei; Oh, Sam; Qin, Jian; Crandall, Michael; Baker, Tom; Fan, Wie

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https://hdl.handle.net/2142/96779 Copy

Description

Title

Building learning modules around the Competency Index for Linked Data

Author(s)

• Zeng, Marcia Lei
• Oh, Sam
• Qin, Jian
• Crandall, Michael
• Baker, Tom
• Fan, Wie

Issue Date

2017

Keyword(s)

• Linked data education
• Learning outcomes
• Competency
• Curriculum development

Abstract

The Linked Data for Professional Education (LD4PE) project has developed a Competency Index for Linked Data that allows the construction of learning trajectories for Linked Data education. The Competency Index defines a set of assertions (within 30 groups under six categories) of the knowledge, skills, and habits of mind required for professional practice in the area of Linked Data. Educational resources have been collected and indexed with the competencies; all are free for use (available at: http://explore.dublincore.net/). How can instructors, trainers, and learners use the competencies to build the learning outcomes in their curricula or course syllabi? How could they share and reuse the developed curricula and the instructional resources in teaching? This session aims to bring together educators and learners in an interactive venue for using the LD4PE tools to develop learning modules for their future audiences around the competencies. The outcome will be available to the broader community through the LD4PE website.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96779

Copyright and License Information

Copyright 2017 Marcia Lei Zeng, Sam Oh, Jian Qin, Michael Crandall, and Wie Fan

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