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Learning Technologies - Competence Extraction via ML / NLP

Group 2: Jialun Jiang, Inga Strelnikova, Stefan Vachenauer

Workshop 1

Summer semester 2022

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Agenda

  1. Motivation
  2. Problem statement
  3. Paper review
  4. Potential solution / concept
  5. Schedule
  6. Next steps for workshop 2

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Motivation

Learning new skills as an important step in professional development

Limited time

Maximum use

Technology

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Problem statement

Field of the project: Technology Enhanced Learning (TEL) (e.g. Moodle)

Question: Which competencies are covered by which course and vise versa?

Problem:

  • Need for a way to find courses by competencies and vise versa
  • Different databases for competencies and course descriptions

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Paper1,2 review

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Potential concept

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Schedule

Workshop/Presentation 2

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Details and preliminary results + demo

Workshop/Presentation 3

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Final results & realization details + final demo

Onboarding

Task Overview

Workshop/Presentation 1

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Problem statement, technology review and potential solution

​

Summer semester 2022

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Next steps until Workshop 2

Create a Graph database for course descriptions and competencies

Set up competency extraction service (from the course description)

Integrate and connect competencies and course descriptions

RESTful API for working with course descriptions and competencies

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References

[1] Hoppe12 T, Al Qundus J, Peikert S. Ontology-based Entity Recognition and Annotation[J]. 2020.

[2] Kaur J, Gupta V. Effective approaches for extraction of keywords[J]. International Journal of Computer Science Issues (IJCSI), 2010, 7(6): 144.

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Thank you for your attention!

Summer semester 2022