Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Linked Data Competency Index:
Mapping the field for teachers and learners
Thomas Baker
Dublin Core Metadata Initiative
AIM...
The Linked Data Competency Index provides:
•a concise and readable map of concepts and skills
•related to practices and te...
“Competency Index”
A thematic set of competencies organized by
•Topic
– Competency: a tweet-length phrase about knowledge ...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
LD4PE Competency Index
Overview of topics
• Fundamentals of Resource Description
Framework
• Identity in RDF
• RDF data mo...
• Topic: Querying RDF Data
– Competency: Understands that a SPARQL query matches an RDF graph
against a pattern of triples...
Competencies
•Understands
•Knows
•Recognizes
•Differentiates ...
understanding (learning)
Benchmarks
•Uses
•Expresses
•Dem...
• Competency: Knows Web Ontology Language, or OWL (2004), an RDF
vocabulary of properties and classes that extend support ...
• Enough topics to convey a map of the domain
• Enough detail on domain competency
Other competency indexes make other des...
• NOT: Levels of difficulty
– “Basic” for a library scientist may be “difficult” for a
computer scientist (and vice versa)...
• Describe what a learner can learn.
• Describe skills that demonstrate understanding (e.g.,
homework, quizzes, exams...)....
620 resources described
http://explore.dublincore.net/explore-learning-resources-by-competency/
2017-10-11 AIMS Webinar 14
Example: YouTube video tagged using LDCI
Example: YouTube video tagged using LDCI
2017-10-11 AIMS Webinar 15
https://dcmi.github.io/ldci/D2695955/
2017-10-11 AIMS Webinar 16
2017-10-11 AIMS Webinar 17
Linked Data Competency Index in Chinese
https://dcmi.github.io/ldci-zh/D2695955-zh/
Crowdsourcing LDCI maintenance
2017-10-11 AIMS Webinar 18
Users can propose new competencies
2017-10-11 AIMS Webinar 19
• Students: help choose courses that cover what you want to
learn.
• Instructors: design a course, syllabus, homework, qui...
• Since 1800s: “industrial” classroom:
– instructors lecture (“sage on the stage”)
– students listen and take notes
– achi...
LDCI is work in progress!
Follow us on Github!
2017-10-11 AIMS Webinar 22
Upcoming SlideShare
Loading in …5
×

Linked Data Competency Index : Mapping the field for teachers and learners

415 views

Published on

The IMLS-funded project Linked Data for Professional Education (LD4PE) has created a "Competency Index for Linked Data".

The Index provides a concise and readable map of concepts and skills related to the practices and technologies of Linked Data for the benefit of interested learners and their teachers.

Published in: Education
  • Be the first to comment

Linked Data Competency Index : Mapping the field for teachers and learners

  1. 1. Linked Data Competency Index: Mapping the field for teachers and learners Thomas Baker Dublin Core Metadata Initiative AIMS Webinar 11 October 2017
  2. 2. The Linked Data Competency Index provides: •a concise and readable map of concepts and skills •related to practices and technologies of Linked Data •for benefit of interested learners (and teachers). Created by LD4PE Project, http://explore.dublincore.net, with generous funding from the Institute of Museum and Library Services (IMLS). 2017-10-11 AIMS Webinar 2
  3. 3. “Competency Index” A thematic set of competencies organized by •Topic – Competency: a tweet-length phrase about knowledge or skills that can be learned • Benchmark: an action that demonstrates accomplishment in a given competency 2017-10-11 AIMS Webinar 3
  4. 4. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Understands the basic syntax of a SPARQL query • Benchmark: Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 4 Linked Data Competency Index Example
  5. 5. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Understands the basic syntax of a SPARQL query • Benchmark:Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 5 LD4PE Competency Index Example topic
  6. 6. LD4PE Competency Index Overview of topics • Fundamentals of Resource Description Framework • Identity in RDF • RDF data model • Related data models • RDF serialization • Fundamentals of Linked Data • Web technology • Linked data principles • Linked Data policies and best practices • Non-RDF Linked Data • RDF vocabularies and application profiles • Finding RDF-based vocabularies • Designing RDF-based vocabularies • Maintaining RDF vocabularies • Versioning RDF vocabularies • Publishing RDF vocabularies • Mapping RDF vocabularies • RDF application profiles • Creating and transforming RDF Data • Managing identifiers (URIs) • Creating RDF data • Versioning RDF data • RDF data provenance • Cleaning and reconciling RDF data • Mapping and enriching RDF data • Interacting with RDF Data • Finding RDF Data • Processing RDF data using programming languages • Querying RDF Data • Visualizing RDF Data • Reasoning over RDF data • Assessing RDF data quality • RDF Data analytics • Manipulating RDF Data • Creating Linked Data applications • Storing RDF data 2017-10-11 AIMS Webinar 6 6 topic clusters 30 topics 95 competencies
  7. 7. • Topic: Querying RDF Data – Competency: Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values – Competency: Knows the basic syntax of a SPARQL query • Benchmark: Uses angle brackets for delimiting URIs. • Benchmark: Uses question marks for indicating variables. • Benchmark: Uses PREFIX for base URIs. 2017-10-11 AIMS Webinar 7 Linked Data Competency Index Competencies and benchmarks
  8. 8. Competencies •Understands •Knows •Recognizes •Differentiates ... understanding (learning) Benchmarks •Uses •Expresses •Demonstrates •Distills •Converts ... doing (exam questions, homework assignments) 2017-10-11 AIMS Webinar 8 Linked Data Competency Index Understanding / Doing
  9. 9. • Competency: Knows Web Ontology Language, or OWL (2004), an RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning). • Competency: Knows that the word “ontology” is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain. Ideally, spells out acronyms and provides context to give non-expert readers a rough idea what they mean. 2017-10-11 AIMS Webinar 9 LD4PE Competency Index Provide context
  10. 10. • Enough topics to convey a map of the domain • Enough detail on domain competency Other competency indexes make other design choices, e.g., to support exams or ceritifcation. 2017-10-11 AIMS Webinar 10 LD4PE Competency Index What LDCI tries to cover
  11. 11. • NOT: Levels of difficulty – “Basic” for a library scientist may be “difficult” for a computer scientist (and vice versa) • NOT: Ranking or ordering topics – for the same reasons Competencies are building blocks that can be assembled into different courses or curricula. 2017-10-11 AIMS Webinar 11 LD4PE Competency Index What it does not cover
  12. 12. • Describe what a learner can learn. • Describe skills that demonstrate understanding (e.g., homework, quizzes, exams...). • Basis for: – job descriptions – course syllabi – university degrees – micro-credentials – digital badges • Tag descriptions of learning resources... 2017-10-11 AIMS Webinar 12 LD4PE Competency Index What is a competency index used for?
  13. 13. 620 resources described http://explore.dublincore.net/explore-learning-resources-by-competency/
  14. 14. 2017-10-11 AIMS Webinar 14 Example: YouTube video tagged using LDCI
  15. 15. Example: YouTube video tagged using LDCI 2017-10-11 AIMS Webinar 15
  16. 16. https://dcmi.github.io/ldci/D2695955/ 2017-10-11 AIMS Webinar 16
  17. 17. 2017-10-11 AIMS Webinar 17 Linked Data Competency Index in Chinese https://dcmi.github.io/ldci-zh/D2695955-zh/
  18. 18. Crowdsourcing LDCI maintenance 2017-10-11 AIMS Webinar 18
  19. 19. Users can propose new competencies 2017-10-11 AIMS Webinar 19
  20. 20. • Students: help choose courses that cover what you want to learn. • Instructors: design a course, syllabus, homework, quizzes, exams. • Employers: write a job description. • Self-learners: explore technologies and methods related to Linked Data. 2017-10-11 AIMS Webinar 20 LD4PE Competency Index Who can use it?
  21. 21. • Since 1800s: “industrial” classroom: – instructors lecture (“sage on the stage”) – students listen and take notes – achievement measured by a grade on the exam • Trend: learning tailored to the individual: – students watch the lectures online before class – students pursue customized learning objectives – instructors give individualized help (“guide at the side”) – learners learn at own pace – life-long learning – achievement measured in competencies acquired 2017-10-11 AIMS Webinar 21 LD4PE Competency Index Learning tailored to the individual
  22. 22. LDCI is work in progress! Follow us on Github! 2017-10-11 AIMS Webinar 22

×