Sri Lanka Institute of Information Technology, Department of Computer Systems Engineering, Malabe, Western Province, Sri Lanka.
Research Article
World Journal of Advanced Research and Reviews, 2023, 20(02), 366-376
Article DOI: 10.30574/wjarr.2023.20.2.2147
Received on 11 September 2023; revised on 24 October 2023; accepted on 27 October 2023
This research paper presents a comprehensive approach to empower education and workforce planning through university recommendation and profession demand forecasting. With the increasing student migration for higher education, understanding and addressing the challenges posed by brain-drain and the lack of suitable policies is crucial. To facilitate informed decision-making, a user-centric approach is employed to develop a Personalized University Classification System, providing tailored recommendations. The Prompt Commentary Delivery component utilizes NLP techniques to offer timely feedback and suggestions. Moreover, a hierarchical decision-making process enhances university and program recommendations based on relevant features and user preferences. The Profession Demand Forecasting System employs the ARIMA model and predictive analytics to identify future employment trends, contributing to informed strategies aligned with labor market demands. By addressing these aspects, the research aims to provide stakeholders with valuable insights and strategies to foster economic growth and empower students in their educational journeys.
NLP; Profession Demand Forecasting; ARIMA; Personalized University Classification System; Higher education
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Menal Gannoruwa, Savindu Thenura, Maheshi Subasinghe and Shenal Bandara. Empowering education and workforce planning: A comprehensive approach to university recommendation and profession demand forecasting. World Journal of Advanced Research and Reviews, 2023, 20(2), 366-376. Article DOI: https://doi.org/10.30574/wjarr.2023.20.2.2147