DocumentCode :
2302284
Title :
Apply fuzzy ontology to CMMI-based ASAP assessment system
Author :
Wang, Mei-Hui ; Yan, Zhi-Rong ; Lee, Chang-Shing ; Hung, Pi-Hsia ; Kuo, Yi-Ling ; Wang, Hui-Min ; Lin, Bort-Hung
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
This paper proposes an ontology-based semantic inference mechanism to apply to Capability Maturity Model Integration (CMMI)-based assessment system for After School Alternative Program (ASAP) in Taiwan. First, the domain experts provide item descriptions to construct the item fuzzy ontology repository. Second, applying the calibration procedures of the 3-parameter item response theory (IRT) model, a T-score scale item map is constructed for each item bank. Third, students´ responses stored in the response data repository are processed, reasoned, and then summarized to obtain the semantic descriptions of students´ performance level. Then, the summarized descriptions of each student´ performance level are presented by the item-map representation. The results are stored into the diagnosis report repository and users like the involved students, teachers, officers, or ASAP administrator can retrieve the reports through the provided ASAP web platform. The preliminary simulation results show that the proposed approach will be feasible and promising for a large scale implementation of the automatic diagnosis reports for the CMMI-based ASAP assessment system.
Keywords :
educational institutions; fuzzy logic; inference mechanisms; ontologies (artificial intelligence); semantic Web; 3-parameter item response theory; ASAP administrator; ASAP web platform; CMMI-based ASAP assessment system; IRT model; T-score scale item map; Taiwan; after school alternative program; calibration procedures; capability maturity model integration; diagnosis report repository; item fuzzy ontology; officers; ontology-based semantic inference mechanism; response data repository; students; teachers; Adaptive systems; Assembly; Geometry; Markup languages; Ontologies; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584037
Filename :
5584037
Link To Document :
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