Applying semantic matching and annoy index methods to analyze the alignment of courses in curricula designed to meet the future workforce competencies for 12 target industries within the eastern economic corridor A case study of Burapha University
Abstract:
This research analyzes the alignment of Burapha University's
curricula and courses in future workforce development guidelines
for the 12 target industries within the Eastern Economic Corridor.
It utilizes data from three sources, which include essential
skill data for Eastern Economic Corridor organizations obtained
from 98 organizations, and desired skills following the future
workforce development guidelines for the 12 target industries. The data from both sources is consolidated to reduce redundancy,
resulting in a total of 294 skills and curriculum data comprising
223 curricula and subjects within the university's curricula,
totaling 10,650 courses. The Annoy Index for rapid data retrieval
and semantic matching techniques is employed to analyze
the semantic alignment of meaningful data between
the desired skills from organizations and the curricula and courses.
The analysis results, each with a similarity score of 0.66
for every target industry, offer valuable insights for planning
curriculum development in alignment with the future workforce
development guidelines for the 12 target industries. This research
offers three policy-oriented recommendations for the strategic
planning of curricula and course development of Burapha
University to align with the future workforce development
guidelines for the 12 target industries.