Abstract
Obtaining IT certifications is a common and permanent goal of almost all IT students and IT workers. However, approximately 200–400 computer-related certifications exist and constantly increase or change. Examinee indeed requires the personalization recommendation about these certifications and so on. This study proposed a personalization recommendation framework contains two reasoning mechanisms: experience-based and capability-based reasoning. The experienced-based reasoning provides personalized suggestions based on the sophistic examinee’s experience, while the capability-based reasoning considers the learner’s background only. The proposed framework can provide the beneficial certification path to examine and a practice scenario is presented to illustrate the feasibility of proposed framework.
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© 2007 Springer-Verlag Berlin Heidelberg
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Yang, HL., Wang, CS., Chen, MY. (2007). A Personalization Recommendation Framework of IT Certification e-Learning System. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_7
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DOI: https://doi.org/10.1007/978-3-540-74827-4_7
Publisher Name: Springer, Berlin, Heidelberg
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