Abstract
Educational institutions have responsibilities to train future employees meanwhile labor market needs are continually changing due to the new technological innovations. Students must prepare themselves for these changes and monitor their progress in learning process to evaluate their position on the labor market. This paper presents a method which connects competence gap analysis or vacancy mining to learning analytics for providing students an integrated toolset to facilitate their self-development.
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Szabó, I., Vas, R. (2019). Vacancy Mining to Design Personalized Learning Analytics for Future Employees. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2019. Lecture Notes in Computer Science(), vol 11709. Springer, Cham. https://doi.org/10.1007/978-3-030-27523-5_5
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DOI: https://doi.org/10.1007/978-3-030-27523-5_5
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