Understanding Skill Development in Learning Programs (67074)
Session Chair: Tomas Trescak
Sunday, January 8, 2023 (17:20)
Session: Session 3
Room: Live-Stream B
Presentation Type:Live-Stream Presentation
The rapidly changing nature of job markets with shifting skill requirements makes it difficult for educational institutes to provide up-to-date training for job-ready graduates. Institutions update their courses to reflect the assumed skill requirements. Some institutions provide explicit information about the skills developed during the course. But due to the existence of a plethora of skill frameworks with ambiguous skill descriptions, it is difficult to evaluate if these skills match the requirements of the job market or make predictions about future trends. To overcome these problems, we developed a framework-agnostic automated skill-matching system that extracts individual skills based on information provided about the skill and compares it to the information about each subject using natural language processing methods.
While we are able to extract skills from individual subjects, it is desired to aggregate and analyse skill acquisition from degrees, programs or specialisations. For such purpose, we developed a formal language along with algorithmic means of defining complex pathway structures. This approach allows us to evaluate skills in all pathways and perform further analysis of opportunities or pitfalls.
We evaluated the validity of our approach with the target group of subject coordinators, with a majority of recommended skills matching the expectations of academics. This approach also allowed academics to assess, whether critical skills are missing from course summaries, providing them with guidance on how to adjust the content. We also used our formal language to model over one hundred degrees and specialisations in our institution.
Authors:
Tomas Trescak, Western Sydney University, Australia
Mesut Kocyigit, Western Sydney University, Australia
Laurence Park, Western Sydney University, Australia
About the Presenter(s)
Tomas’s research flows through several realities, virtual, augmented and the real one, seeking new ways with Artificial Intelligence to facilitate complex cognitive tasks in simulation, education, health care, cyber security and social sciences.
Connect on Linkedin
https://www.linkedin.com/in/tomas-trescak
Connect on ResearchGate
https://www.researchgate.net/profile/Tomas-Trescak
Additional website of interest
https://profile.trescak.co/home/
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