1. Towards developing a Technical Knowledge Base for Personalized Learning
Prajna Devi Upadhyay
2013CSZ8110
Advisor:
Prof. Maya Ramanath

2. Introduction Challenges faced by enthusiastic learners
Lack of enough background about a topic of interest
Overwhelming content on Web
Challenges faced by enthusiastic learners

3. Motivating Example (1/5)
Let us say, X is curious to know about Wormholes after watching Hollywood blockbuster Interstellar

4. Motivating Example (2/5)
Possible steps X takes up to satiate her curiosity
Google?
Wikipedia?
Library?

5. Motivating Example (3/5)

6. Motivating Example (4/5)
Alas, X does not have enough background in Physics!!!!

7. Motivating Example (5/5)
Expert suggests a reading order to X
A system generates the same for X
X would be happy in both cases!!!

8. Proposed Work (1/11) Components of the proposed Automated System
A Technical Knowledge Base
Finding Reading Order
Personalization
Summarization

9. Proposed Work (2/11) Technical Knowledge Base
network of concepts related to the domain.
concept and a relation.
Creating Knowledge Base
Use both structured and unstructured sources
Creating dictionary of concepts
Extracting relationships between them
Structured sources, known relations
Structured sources, unknown relations
Unstructured sources, known relations
Unstructured sources, unknown relations

10. Proposed Work (8/11)
Methods to find out reading order for a topic of interest.
Reversal of Topological Sort from Wikipedia definitions
Existing prerequisite preference function
Technical Knowledge Base
Hybrid approach involving all of the above

11. Proposed Work (9/11) Personalization
Different categories of end-users of the system.
Different requirements for Physics professor and high-scholl student
Customization parameters
Could be provided as an input
Fixed set of rules could be followed
Hybrid approach

12. Proposed Work (11/11) Summarization
Utilize Wikipedia definitions to generate summaries of the topic of interest from the generated reading order
Evaluation
User Studies
Ground Truth

13. Thank You