Personal Knowledge Graphs in Education

Personal Knowledge Graphs in Education
Eleni Ilkou
Supervisor: Prof. Dr. Wolfgang Nejdl
ITN Co-supervisor: Ass. Prof. Dr. Sabrina Kirrane
L3S Research Center
WU Vienna, May 2022
Eleni Ilkou (L3S Research Center) Personal Knowledge Graphs in Education WU Vienna, May 2022 1 / 41

Who is Eleni?
Greece - Belgium - Germany - WU Vienna

Collaborators
L3S Research Center, Uni
Hannover
TIB, Uni Hannover
WBSWM Institute, Uni
Siegen
Uni Bonn
CNR Institute for
Educational Technology

Overview of today’s talk
Results so far & Next steps

The past-present

EduCOR - ISWC’21 Resource Track
The problem
ERs and OERs
low-quality metadata [1]
isolated from content-wise similar resources
lacking of high-quality services based on OERs [2]
Schemata and vocabularies
lack of online availability
lack of ability to accommodate personalised recommendations of
OERs
No model available for connecting:
different angles of education
labour market
individual needs of learners

EduCOR
ontology

Objectives
Can do
be used as a whole or as parts
via the patterns
fit in different educational
domains
rich metadata
compatibility with existing
educational repositories
Cannot do
provide data to specific
educational domain (expert
intervention)
automatic mapping
automatic alignment

SOTA

Future Steps
Automatic alignment
Quality indicators
Learning preferences
Accessibility analysis
User’s privacy
Educational KG

PKGs in e-learning - WWW’22 PhD symposium
Example

Proposed Approach
An architecture for the creation of a PKG for a user in the back end of an
e-learning system

1. Collaborative Search
2. e-Learning platform

Opportunities and Challenges
Pros and Cons
+ PKGs promising new in this domain and problems
- Privacy, time dependent
- No gold-standards or baseline metrics for collaborative search and SaL
Methodology
Qualitative and quantitative
Human participants (interviews and questionnaires)

Future Steps
Knowledge
acquisition,
maintaining, creation
and update factors of
PKGs
Privacy
Semantic
personalised
recommendations
Annotations from
tutors and direct
feedback

PKG ontology
Ontology for PKGs in web search
Overview of the ontology

PKG ontology
Use case
Collaborative web search

CollabGraph - IEEE TLT (ur)
The link between PKGs, the DBpedia KG and the creation of CollabGraph

A graph-based collaborative search summary visualisation

Status
Findings
Graph summary highly preferable, but not to replace classic list view -
Combo the best
Graph summary more useful in big groups and high search activity, and
closed-end learning scenarios
Next steps
Finalise implementation
On-site experiment with students

Future Steps
Personal
graph-summary
Eye-tracking
Annotations in the
graph - commenting
Recommendations
Optimal no. of
visualised nodes
Group KG

The future

Group KG
Research Paper - (WWW?)
Idea-Goal
Interlink semantic entities between KGs and PKGs
Reveal collaborative features and elements (ex. recommendations)
Evaluation-Metrics
Specific to application
ex. recommendation and relevance

Semmantic Recommendations
Research Paper
Idea-Goal
The application to evaluate PKGs and Group KG
Achieve higher personalisation in recommendation of: topics, ERs, tests,
type of material etc
Evaluation-Metrics
Compare to baselines of recommendation algorithms by adjusting them to
educational/learning settings
Relevance, Coverage etc

Learning Paths’ Analysis
Research Paper
Idea-Goal
Different learning paths lead to different learning outcomes
Even in case of same learning outcomes the way a subject is taught
(practical, theoretical, calculation based etc) affects students performance
Identify key parts that differentiate curricula and what makes some best
(f.e. based on PISA results)
Evaluation-Metrics
Human evaluation - Test based
High school or university setting
Over the course of a lecture or semester (maybe sth faster?)

Smart Book
Research Paper
Idea-Goal
Idea from Semantic Pathsa
Process curricula to interlink entities
Hyperlinks between textbooks, different languages, level of material, and
areas the same content reappears
a
https://emnlp2021.semanticpaths.org/
Evaluation-Metrics
Classroom evaluation, control group vs experimental
Performance over a test and survey user experience evaluation
Additional perspective
Link with learning paths. Which curricula produces the best Data Scientist
based on a specific test?

Edu KG
Resource Paper
Idea-Goal
Interlink educational material in a structured knowledge (ER-topics-skills)
Social impact
Evaluation-Metrics
No. of entities and relations, relevance
Research paper
Comparison to other (semi)automatic algorithms for creating KGs
QnA

Interested? Contact me at ilkou(at)l3s.de

Bibliography I
Mohammadreza Tavakoli, Mirette Elias, Gábor Kismihók, and Sören
Auer.
Metadata analysis of open educational resources.
In LAK21: 11th International Learning Analytics and Knowledge
Conference, pages 626–631, 2021.
Mohammadreza Tavakoli, Mirette Elias, Gábor Kismihók, and Sören
Auer.
Quality prediction of open educational resources a metadata-based
approach.
In 2020 IEEE 20th International Conference on Advanced Learning
Technologies (ICALT), pages 29–31. IEEE, 2020.

Personal Knowledge Graphs in Education

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