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Title |
Harnessing Job Advertisement for Higher Education Curriculum Development using Text Mining Approach |
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Author |
Zurina Saaya and Nor Hafeizah Hassan |
| Citation |
Vol. 25 No. 11 pp. 1-8 |
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Abstract |
In the recent rapidly evolving job market, aligning educational curricula with industry needs is crucial to prepare graduates with relevant skills and ensuring their employability. This paper explores the potential of utilizing job advertisements as a rich and dynamic source of information for data-driven curriculum development. Traditional methods, such as industry surveys and expert consultations, often lack the immediacy and granularity to keep pace with evolving workforce demands. Job advertisements, on the other hand, provide a real-time snapshot of the specific skills, knowledge, and qualifications employers actively seek. By leveraging text mining techniques such as keywords extraction, term frequency, topic modeling and text clustering, the large corpora of job advertisements can be analyzed. The results can be used to help curriculum developers to identify the emerging trends, in-demand technical competencies and soft skills needed in their curricula. This approach enables the development of curricula tailored to the job market's requirements effectively, while bridging the gap between theoretical knowledge and practical application to give competitive advantage to all students, curricula provider and industry. |
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Keywords |
text mining, job advertisement, higher education, curriculum development, computer network |
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