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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
Subject(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.
Issue Date:2017
Publisher:iSchools
Citation Info:Zeng, M. L., Oh, S., Qin, J., Crandall, M., Baker, T., & Fan, W. (2017). Building Learning Modules around the Competency Index for Linked Data. In iConference 2017 Proceedings (pp. 925-927). https://doi.org/10.9776/17501
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96779
DOI:https://doi.org/10.9776/17501
Rights Information:Copyright 2017 Marcia Lei Zeng, Sam Oh, Jian Qin, Michael Crandall, and Wie Fan
Date Available in IDEALS:2017-07-27


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