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
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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.
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Office of Council for Higher Education, Science, Research and Policy National innovation, Future Workforce Competencies for 12 Target Industries within the Eastern Economic Corridor (2020 - 2024). Ministry of Higher Education Science, research and innovation.
The Eastern Economic Corridor Office of Thailand, Personnel skill development according to the EEC model. Available Online at https://www.eeco.or.th/th/eec-model, accessed on 10 October 2022.
K. Yang, Simple Approximate Nearest Neighbors in Python with Annoy and lmdb. Available Online at https://medium.com/@kevin_yang/simple-approximate-nearest-neighbors-in-python-with-annoy-and-lmdb-e8a701baf905, accessed on 28 January 2023.
Lukkid, What is Word Embedding and Word2Vec. Available Online at https://lukkiddd.com/word-embedding-แล้ะ-word2vec-ค์่ออะไร-e60bdf6d78d3, accessed on 18 May 2023.
Chakrit, Like Different Similariry. Available Online at https://www.softnix.co.th/2019/05/29/similarity-ค์วิามีเห์มี่อนี้ท้แตกต่าง, accessed on 27 May 2023.
K. Ratchatawetchakul, A. Sarnthong, W. Ratchatawetchakul, and Y. Ratchatawetchakul. "Optimizing Document Retrieval by Measurement Resemblance Between Semantic Word Methods." Journal of Applied Informatics and Technology, Vol. 2, No. 1, pp. 19-29, 2020.
D. Onchawiang. "The Prototype Development of The Institute to Increase The Potential of The Manpower to Support The Industrial Growth in The Eastern Economic Corridor." Panyapiwat Journal, Vol 15, No. 1, pp. 223-236, January-April, 2023.
P. Sookkhee. "Development of Semantic Search Model Based on The Doc2Vec Technique for an Application for Vocal Music Search." Journal of Technology Management Rajabhat Maha Sarakham University, Vol 8, No. 2, pp. 101-113, July-December, 2022.
T. Zhang, V. Kishore, F. Wu, K.Q. Weinberger, and Y. Artzi. "BERTScore: Evaluating Text Generation with BERT." International Conference on Learning Representations, Addis Ababa Ethiopia, pp. 1-43, 2020.
N. Supakit. Semantic Retrieval Model for Thai Economic Fruit Knowledge Based on Ontology. Department of Information Technology Institute of Social Technology Suranaree University of Technology, 2022.
P. Nilaphruek and R. Khanankhoaw. "The Enhancement of Efficiency in e-Recruitment System using Semantic Matching Technique." Science and Technology RMUTT Journal, Vol. 5, No. 1, pp 83-89, 2015.
Digital Government Development Agency (Public Organization). Industrial in The Eastern Economic Corridor. Available Online at https://data.go.th/dataset/facproveec, accessed on 10 October 2022.
Anonymous, 2022. sentence-transformers/all-Mini LM-L6-v2. Available Online at https://huggingface.co/sentence transformers/all-MiniLM-L6-v2, accessed on 18 May 2023.