A personalization recommendation framework of IT certification e-learning system

Heng Li Yang; Chen Shu Wang; Mu Yen Chen

doi:10.1007/978-3-540-74827-4_7

A personalization recommendation framework of IT certification e-learning system

Heng Li Yang, Chen Shu Wang, Mu Yen Chen

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publication	KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Pages	50-57
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-74827-4_7
Publication status	Published - 2007
Event	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy Duration: 2007 Sept 12 → 2007 Sept 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4693 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Country/Territory	Italy
City	Vietri sul Mare
Period	07-09-12 → 07-09-14

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-74827-4_7

Cite this

Yang, H. L., Wang, C. S., & Chen, M. Y. (2007). A personalization recommendation framework of IT certification e-learning system. In Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings (PART 2 ed., pp. 50-57). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4693 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-74827-4_7

Yang, Heng Li ; Wang, Chen Shu ; Chen, Mu Yen. / A personalization recommendation framework of IT certification e-learning system. Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2. ed. 2007. pp. 50-57 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "A personalization recommendation framework of IT certification e-learning system",

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.",

author = "Yang, {Heng Li} and Wang, {Chen Shu} and Chen, {Mu Yen}",

note = "Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 ; Conference date: 12-09-2007 Through 14-09-2007",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Yang, HL, Wang, CS & Chen, MY 2007, A personalization recommendation framework of IT certification e-learning system. in Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4693 LNAI, pp. 50-57, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, Italy, 07-09-12. https://doi.org/10.1007/978-3-540-74827-4_7

A personalization recommendation framework of IT certification e-learning system. / Yang, Heng Li; Wang, Chen Shu; Chen, Mu Yen.
Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2. ed. 2007. p. 50-57 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4693 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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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Yang HL, Wang CS, Chen MY. A personalization recommendation framework of IT certification e-learning system. In Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 2 ed. 2007. p. 50-57. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-74827-4_7

A personalization recommendation framework of IT certification e-learning system

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