A personalization recommendation framework of IT certification e-learning system

被引：0
|
作者：
Yang, Heng-Li [1 ]
Wang, Chen-Shu [1 ]
Chen, Mu-Yen [2 ]
机构：
[1] Natl Chengchi Univ, Dept MIS, 64,Sec 2,Chihnan Rd,Mucha Dist, Taipei 116, Taiwan
[2] Natl Changhua Univ Educ, Dept Accounting, Changhua 500, Taiwan
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT II, PROCEEDINGS | 2007年 / 4693卷
关键词：
IT certification; examinee personalization recommendation; certification examination preparation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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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页码：50 / 57
页数：8
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