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.
Building Learning Modules around the Competency Index for Linked Data
1. Building Learning Modules around the
Competency Index for Linked Data
Marcia Lei Zeng,1 Sam Oh,2 Jian Qin,3 Michael Crandall,4 Tom Baker, 5 Wei Fan,6
LD4PE (Linked Data for Professional Educators) Project Team
iConference
Wuhan, China, 2017 March 21-26
Sessions for Interaction
and Engagement (SIE)
1 Kent State University, USA
2 Sungkyunkwan University, South Korea
3 Syracuse University, USA
4 University of Washington, USA
5 Dublin Core Metadata Initiatives (DCMI)
6 Sichuan University, China
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Building Learning Modules around the
Competency Index for Linked Data
Teaching about Linked Data (LD)
a full course/workshop
one or two learning modules in a course
Using cases/examples of LD in a course
Will teach something related to LD
Planning to incorporate LD contents into course(s)
Wanting to learn about LD
Why are you here today?
Sessions for Interaction
and Engagement (SIE)
3. Session Schedule
I. Background
LD4PE project
Competency-based education and
training
II. Competency Index for Linked Data (CI)
• Demo: CI’s structure
• Explanation: CI’s contents
• Break-out session #1: Discussion and
Q&A about the CI
Sessions for Interaction
and Engagement (SIE)
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III. Building Learning Modules Using the Learning
Resources Connected with the Competencies
Demo: Finding related learning resources
Explanation: How a learning resource is
described and mapped to CI
Break-out session #2: Building learning modules
IV. Save, Reuse, and Share
Introduce Tools for
1 “Saved Sets”
2 Resource descriptions
3 “Learning Maps”
Try
Break-out session #3: Summarizing and Reporting
V. Conclusion
4. Part I. Background
• LD4PE project
• Competency-based education and training
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5. Linked Data for Professional
Educators (LD4PE) Project
Funded by the Institute of Museum and Library Services (IMLS)
December 1, 2014 - November 30, 2017
Led by:
University of Washington, Information School
Kent State University, School of Library & Information Science
Dublin Core Metadata Initiative (DCMI)
Content Partners:
Sungkyunkwan University (Korea)
Access Innovations
Synaptica
Elsevier
OCLC
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6. LD4PE Products
Competency Index for Linked Data
-- 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.
Toolkit
-- open, web-based tool set
(1) making Saved Sets
(2) generating metadata describing learning
resources
(3) creation of learning maps expressing
curricular structures or personal learning
journeys superimposed over the competency
framework
Learning Resource Descriptions
-- A set of learning resources
open sources
Described in metadata
being mapped to the competencies
Best practices
• The Explore
Website
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7. What competencies are expected in Linked
Data related skills and knowledge?
How can these competencies be built into
curricula or course syllabi to assess learning
outcomes?
Is there any trustable learning resource for
Linked Data available on the open Web?
What pedagogies and best practices have
been used in teaching or learning Linked
Data to build competencies?
Questions addressed today
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8. The LD Competency Index
is developed based on the ASN
Description Language (ASN*-DL) for
describing formally promulgated
competencies and benchmarks.
*The Achievement Standards Network™ (ASN™)
provides access to machine-readable
representations of learning objectives and
curriculum standards.
Competency-based
education and training
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14. Part II. Competency Index
for Linked Data (CI)
• Demo: CI’s structure
• Explanation: CI’s contents
• Break-out session #1: Discussion and Q&A
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15. Structure of
The Competency Index for Linked Data (CI)
-- The Competency Index is composed of
a set of topically arranged assertions of
the knowledge, skills, and habits of mind
required for professional practice in the
area of Linked Data.
Topical Cluster » Topic » Competency » Benchmark
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16. Competency Index
Editorial Board met monthly over
a period of approximately 18
months.
Competencies were proposed
based on:
• Literary Warrant
• Resource Warrant
• Expert Warrant
GitHub was used to track changes
as the Competency Index evolved
Guidelines for stylistic consistency
when writing competencies were
developed
6 Topic Clusters
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Topical Cluster » Topic » Competency » Benchmark
17. Structure
Topic cluster
Topic
Competency: Tweet-length assertion of knowledge, skill, or habit
of mind
Benchmark: Action demonstrating accomplishment in related
competencies
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17《关联数据能力指标》Competency Index for Linked Data (CI)
Topical Cluster » Topic » Competency » Benchmark
18. Competency Index
Topic
Competency
Topic Cluster
Competency Index full version
available from
http://explore.dublincore.net
Explore
• English (webpage)
• Chinese (PDF)
Benchmark
Benchmark
Competency
Competency
Competency
Benchmark
Benchmark
Competency Index
Structure
30 topic groups
6 clusters
95 competencies
75 benchmarks
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Topical Cluster » Topic » Competency » Benchmark
19. Break-out session #1. Discussion and Q&A
about the Competency Index for Linked Data
Browse the handouts of the Competency Index for Linked Data
Mark the competencies you feel confident about
Q&A regarding the competencies
E.g., around
the arrangement or grouping,
the indication of core competencies,
additional competencies,
… …
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21. Part III. Building Learning Modules
Using the Learning Resources
Connected with the Competencies
• Demo: Finding related learning resources
• Explanation: How a learning resource is described and mapped to CI
• Break-out session 2: Building learning modules
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22. How are
the
learning
resources
described?
• Move mouse over the
competency can see its
location in the index.
• Resources are Indexed at the
topic and competency Level
500+ openly available
learning resources
[webinars, podcasts,
lectures, web pages,
readings …]
An example
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24. Demo: Find resources which introduce Linked Data and its potential impact on the Web.
• Start at the top of the hierarchy and
drill down.
• Select a topic cluster, expand the
menu, and
• look through the child options.
1
2
3
The number of resources aligned to this competency are indicated.
25. Clicking on the competency’s text causes related
resources to be displayed on right side of the page.
Descriptions and user ratings help one make decisions
about which resources to investigate further.
4
5
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26. Resource Description Page
The resource description
page contains additional
metadata and full text of
the description.
From this page, you can
access the resource itself
through the URL.
6
7
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27. Break-out session #2:
Building learning modules
1) Navigate among the open source learning
materials
2) Select the appropriate ones
3) Write down the issues and tips
4) Form learning modules from them
5) Discussion and Q&A
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“If I want to teach”
(think one of them):
• Fundamentals of
Linked Data (2)
• Designing RDF-
based
vocabularies (3.2)
• Querying RDF Data
(5.3)
Let’s try
28. Part IV. Save, Reuse, and
Share
• Introduce Tools for
1 “Saved Sets”
2 Resource descriptions
3 “Learning Maps”
• Try
• Break-out session 3:
Summarizing and Reporting
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See what
resources are
already selected
and packed by
others
Tool 1, for
“Saved Sets”
http://explore.dublincore.net/explore-learning-
resources-by-competency/all-saved-sets/
30. Saved Sets
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See what resources are
already selected and
packed by others
31. Create an account, save
materials to your folder.
• Send an email to request
an account.
• Check the email for login
path.
• “Remember Me” checked.
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How Can I create my set(s)?
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1
2
3
4
1. Login
2. Find a resource
3. Open the resource
4. Add to Saved Set (new or existing)
Steps
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LD4PE Project Team
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You can add to an
existing set, or define
your new set.
• Title
• Description
• Public or private
4
Step 4. (con.) Add to Saved Set (new or
existing)
34. Step 5. Continue
to add, revise,
move around…
Save
Share your
packages
or
Keep as private
use
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5
35. Tool 2, for
Resource
Description
Required fields:
• Name
• Description
• Topical Index
• Educational Alignment
• Proficiency Level
• Interactivity Type
• Learning Resource Type
• Educational Audience
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What about adding a new resource?
http://explore.dublincore.net/rdf/lrmi/#/resource
36. Tool 3, for “Learning Maps”
Traverse the Competency Index and save
relevant competencies in a list.
Allows user to plan a curriculum or a personal
course of study.
The access to resources indexed to each
competency is automatically carried along
with it.
Maps can be saved as private or public to
allow others to view them.
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36Can I sort the competencies
together with materials?
37. Build a Learning Map
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http://explore.dublincore.net/explore-learning-
resources-by-competency/learning-maps/
Step 1. Go to the “Learning
Maps”
1
http://explore.dublincore.net Explore
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1. Define a new map
Now you are on the Map Builder page.
Your Map is on the right side.
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3
3. Select the competency and benchmarks you need
4. Click on “Add to map”, now it is added to your map.
4
Map name &
description
Contents
Contents
Contents
42. Break-out session #3:
Summarizing and Reporting
Group discussion, reporting by a representative
(1) the competency-based learning approach
(2) the coverage of the Competency Index for Linked Data
(3) ideas of teaching and learning Linked Data using these resources and tools
provided by LD4PE
(4) any other take-away
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[Possible hands-on opportunity to create an
account, build a saved set, and make a learning
map, depending on the setting up of an account.]
43. How can we keep this going?
• Your participation
• Sharing and reusing
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Examples:
• Currently shared “saved sets” and
“maps”
• A Chinese translation of the Competency
Index is shared
• A voluntary team is building a
supplementary site with Chinese
language materials
• A training session had over 150 in
December 2016 in Shanghai
Conclusion
1 Kent State University, USA
2 Sungkyunkwan University, South Korea
3 Syracuse University, USA4 University of Washington, USA
5 Dublin Core Metadata Initiatives (DCMI)
6 Sichuan University, China
Asn.jesandco.org
http://asn.jesandco.org/resources/D2527589
Discussion and Q&A about the Competency Index for Linked Data (10 minutes)
The handouts of the established Competency Index for Linked Data will be provided. Each participant will have a quick look at the competencies and mark the competencies he/she feels confident about. Then the Q&A will be open to gather questions regarding the competencies. Discussions will be welcome around the issues such as the arrangement or grouping, the indication of core competencies, additional competencies, etc.
Discussion and Q&A about the Competency Index for Linked Data (10 minutes)
The handouts of the established Competency Index for Linked Data will be provided. Each participant will have a quick look at the competencies and mark the competencies he/she feels confident about. Then the Q&A will be open to gather questions regarding the competencies. Discussions will be welcome around the issues such as the arrangement or grouping, the indication of core competencies, additional competencies, etc.
Participants will form small groups to begin developing modules focused on specific areas of Linked Data. They will navigate among the open source learning materials already aligned with the competencies by LD4PE team, select the appropriate ones, write down the issues and tips, and form learning modules from them. Each learning module will include the learning outcomes, resources recommended (in order), additional resources available for further learning, and related competencies. Q&A and discussions can occur during the session, based on need.
Participants will form small groups to begin developing modules focused on specific areas of Linked Data. They will navigate among the open source learning materials already aligned with the competencies by LD4PE team, select the appropriate ones, write down the issues and tips, and form learning modules from them. Each learning module will include the learning outcomes, resources recommended (in order), additional resources available for further learning, and related competencies. Q&A and discussions can occur during the session, based on need.
Making Saved Set (15 minutes)
The participants will be introduced to the Saved Set function, which allows a user to save the selected learning resources into one’s own Saved Set, while exploring how others compiled their sets. Q&A and discussions can occur during the session, based on need. These Saved Sets may be made public for others to use through the LD4PE website after the workshop.
Summarizing and Reporting (15 minutes)
The participants will summarize the major points regarding: (1) the competency-based learning approach; (2) the coverage of the Competency Index for Linked Data; and (3) ideas of teaching and learning Linked Data using these resources and tools provided by LD4PE. Each group is expected to give one short report.
3.5 Breakout session C. Summarizing and Reporting (15 minutes)
The participants will summarize the major points regarding: (1) the competency-based learning approach; (2) the coverage of the Competency Index for Linked Data; and (3) ideas of teaching and learning Linked Data using these resources and tools provided by LD4PE. Each group is expected to give one short report.
General questions about participation? Contact Michael Crandall, LD4PE Project PI
Questions about participation in creation/assessment of the Linked Data competencies? Contact Tom Baker, Chair, Competency Index Editorial Board
Questions about participating in learning resource discovery and description? Contact either Sean Dolan or Marcia Zeng
Questions about participating in the project’s technical implementation? Contact Stuart Sutton