A Personalization Recommendation Framework of IT Certification e-Learning System

Authors:
Heng-Li Yang;Chen-Shu Wang;Mu-Yen Chen
Affiliations:
Department of MIS, National Cheng-Chi University, 64, Sec. 2, Chihnan Rd., Mucha Dist, Taipei 116, Taiwan;Department of MIS, National Cheng-Chi University, 64, Sec. 2, Chihnan Rd., Mucha Dist, Taipei 116, Taiwan;Department of Accounting, National Changhua University of Education, Changhua, 500, Taiwan, ROC
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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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.