The Application of Artificial Intelligence With Low-code and No-code Technologies for Enhancing the Job Position Proposal Process From Employers in Accordance With Cooperative and Work-Integrated Education Principles
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Abstract
This study aimed 1) to investigate the cooperative education process in the phase where employers propose job positions, and 2) to develop and evaluate the performance of a management system for this process by applying Artificial Intelligence (AI) in combination with low-code and no-code technologies. The findings revealed that, under the traditional approach, staff were required to manually handle documents and data, which was time-consuming and prone to delays and human errors. To address these issues, a management system was developed to facilitate the submission and management of job positions from employers. The proposed system features an automatic conversion of unstructured enterprise-submitted text into structured data, thereby reducing the administrative workload and accelerating the process. Evaluation results showed that the system reduced the time required to process each job position from approximately 15 minutes to a fully automated process requiring no staff involvement. In addition, users’ satisfaction with the system was rated at the highest level (M = 4.71), reflecting its effectiveness in improving convenience, speed, and enhancing collaboration between employers and higher education institutions.
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