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.
INTERCONNECTING AND
ENRICHING HIGHER EDUCATION
PROGRAMS USING LINKED DATA
Fouad Zablith
American University of Beirut
Problem
• Higher education programs are often designed around
courses that follow a specific sequence
• Courses are usuall...
Approach
• In this work, we aim to de-blackbox the representation of a
higher education curriculum
• We rely on linked dat...
Data Model
Data Model
Building the Linked Data Graph
• Phase 1: Creating Courses Information
• Course syllabi are used to identify the high leve...
Course
Topic
Course
Topic
Concept
Course
Topic
Concept
Learning Material
Phase 1: Creating Courses Information
Phase 1: Creating Courses Information
http://linked.aub.edu.lb/collab
Phase 1: Creating Courses Information
http://linked.aub.edu.lb/collab
Phase 2: Identifying Concepts Taught
Conceptual Linking
Phase 3: Anchoring Learning Material to
Courses
Learning Material Bookmarklet
http://linked.aub.edu.lb/docs/tutorial_material_bookmark/
Example:
https://www.youtube.com/w...
Students Expanding the Data Graph
http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making
Learning...
Students Expanding the Data Graph
http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making
BigData
...
Current Data Available
• So far we have captured the following data around the
school’s higher education program:
Category...
Using the Linked Data Graph:
Enriching Moodle Environments
Using the Linked Data Graph:
Enriching Moodle Environments
Impact of Student’s Input
http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making
Information
Syst...
Impact of Student’s Input
http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making
Information
Syst...
Using the Linked Data Graph:
Program Review Concepts Graph
http://linked.aub.edu.lb/collab/index.php/Learning_Concepts_Gra...
Using the Linked Data Graph:
Program Review Concepts Table
http://linked.aub.edu.lb/apps/tablebrowser/table.php
Future Directions
• Develop further data-driven applications to support
learning experiences
• Capture social interactions...
Future Directions: Capturing Social
Interactions
Future Directions: Boosting Analytics
Future Directions: Boosting Analytics
Future Directions: Boosting Analytics
Conclusions
• We presented our efforts on collaboratively building a
linked data graph to capture concepts exchanged in
hi...
Thank you!
fouad.zablith@aub.edu.lb
http://fouad.zablith.org
@fzablith
Upcoming SlideShare
Loading in …5
×

Interconnecting and Enriching Higher Education Programs using Linked Data

1,177 views

Published on

In this presentation, we present our work that aims to de-blackbox the representation of a higher education curriculum. We rely on linked data to generate and represent the conceptual connections around the courses in a higher education program. We deploy a Semantic Mediawiki platform to collaboratively build the knowledge graph around the courses. We highlight the value of this linked data layer through two use cases to (1) enrich online learning environments and (2) support the program review process.

Published in: Data & Analytics
  • Be the first to comment

Interconnecting and Enriching Higher Education Programs using Linked Data

  1. 1. INTERCONNECTING AND ENRICHING HIGHER EDUCATION PROGRAMS USING LINKED DATA Fouad Zablith American University of Beirut
  2. 2. Problem • Higher education programs are often designed around courses that follow a specific sequence • Courses are usually described at high levels in the form of syllabi and program catalogues • This text-based representation creates hard knowledge boundaries around courses that tend to be delivered and analyzed mostly in isolation
  3. 3. Approach • In this work, we aim to de-blackbox the representation of a higher education curriculum • We rely on linked data to generate and represent the conceptual connections around the courses in a higher education program • We deploy a Semantic Mediawiki platform to collaboratively build the knowledge graph around the courses • We highlight the value of this linked data layer through two use cases to (1) enrich online learning environments and (2) support the program review process
  4. 4. Data Model
  5. 5. Data Model
  6. 6. Building the Linked Data Graph • Phase 1: Creating Courses Information • Course syllabi are used to identify the high level course information (e.g. course name, description, topics, etc.) • Phase 2: Identifying Concepts Taught • This was the most time consuming task, where course material (mainly textbooks) were used to identify taught concepts in courses • Phase 3: Anchoring Learning Material to Courses • This is the ongoing enrichment step using a semantic bookmarklet to connect external material to courses
  7. 7. Course Topic
  8. 8. Course Topic Concept
  9. 9. Course Topic Concept Learning Material
  10. 10. Phase 1: Creating Courses Information
  11. 11. Phase 1: Creating Courses Information http://linked.aub.edu.lb/collab
  12. 12. Phase 1: Creating Courses Information http://linked.aub.edu.lb/collab
  13. 13. Phase 2: Identifying Concepts Taught
  14. 14. Conceptual Linking
  15. 15. Phase 3: Anchoring Learning Material to Courses
  16. 16. Learning Material Bookmarklet http://linked.aub.edu.lb/docs/tutorial_material_bookmark/ Example: https://www.youtube.com/watch?v=f60dheI4ARg
  17. 17. Students Expanding the Data Graph http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making Learning Material
  18. 18. Students Expanding the Data Graph http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making BigData Operations Decisions Social Media Automated Process Organizational Silos Decision Internet Services Business Process Reengineering Intuitive Decision Making Learning Material Concepts
  19. 19. Current Data Available • So far we have captured the following data around the school’s higher education program: Category Number Courses 20 Topical coverage 171 Taught concepts 2,684 Learning Material 75
  20. 20. Using the Linked Data Graph: Enriching Moodle Environments
  21. 21. Using the Linked Data Graph: Enriching Moodle Environments
  22. 22. Impact of Student’s Input http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making Information Systems Management Operations Management BigData Operations Decisions Social Media Automated Process Organizational Silos Decision Internet Services Business Process Reengineering Intuitive Decision Making Learning Material Concepts Moodle Courses
  23. 23. Impact of Student’s Input http://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making Information Systems Management Operations Management BigData Operations Decisions Social Media Automated Process Organizational Silos Decision Internet Services Business Process Reengineering Intuitive Decision Making Learning Material Moodle Courses Indirectly interlinking courses’ content Concepts
  24. 24. Using the Linked Data Graph: Program Review Concepts Graph http://linked.aub.edu.lb/collab/index.php/Learning_Concepts_Graph
  25. 25. Using the Linked Data Graph: Program Review Concepts Table http://linked.aub.edu.lb/apps/tablebrowser/table.php
  26. 26. Future Directions • Develop further data-driven applications to support learning experiences • Capture social interactions around the linked data graph to have more granular insights on students’ behavior around the concepts delivered • Capitalize on the data graph to boost analytics and further support the curriculum review process
  27. 27. Future Directions: Capturing Social Interactions
  28. 28. Future Directions: Boosting Analytics
  29. 29. Future Directions: Boosting Analytics
  30. 30. Future Directions: Boosting Analytics
  31. 31. Conclusions • We presented our efforts on collaboratively building a linked data graph to capture concepts exchanged in higher education programs • We highlighted the value of this linked data layer at two levels: • First at the level of enriching learning environments and breaking the knowledge boundaries around courses • Second at the analytics level by building tools that provide new and unprecedented curriculum visualizations
  32. 32. Thank you! fouad.zablith@aub.edu.lb http://fouad.zablith.org @fzablith

×