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.

引用

页码：50 / 57

页数：8

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