DocumentCode :
1882271
Title :
Interactive adaptivity in Assessment as a Service
Author :
Gusev, Marjan ; Ristov, Sasko ; Armenski, G.
Author_Institution :
Fac. of Inf. Sci. & Comput. Eng., Ss. Cyril & Methodius Univ., Skopje, Macedonia
fYear :
2013
fDate :
25-27 Sept. 2013
Firstpage :
588
Lastpage :
595
Abstract :
Assessment as a Service is described from the perspective of adaptivity features in these systems. It is a modern e-Assessment system realized on cloud, integrating available interoperability features so it can extensively communicate with other Learning Management Systems (LMS) and use scalable cloud architecture capable to cope with increased workload. Adaptive control in eAssessment systems means to add features in test construction and test delivery, and can be realized with several AI and related methods. An example of such a system is the concept of online learning with adaptive testing, that exploits add on functionalities of a typical LMS with interactive, formative and integrative assessments used in the learning process. Such a system systematically asks questions and leads the students towards knowledge discovery as learning method.
Keywords :
adaptive systems; artificial intelligence; cloud computing; computer aided instruction; educational administrative data processing; interactive systems; open systems; testing; AI method; LMS; Learning Management Systems; adaptive control; adaptive testing; adaptivity features; artificial intelligence; assessment as a service; e-Assessment system; formative assessments; integrative assessments; interactive adaptivity; interactive assessments; interoperability features; knowledge discovery; learning method; learning process; online learning; scalable cloud architecture; test construction; test delivery; Adaptation models; Business; Computer architecture; Electronic learning; Least squares approximations; Testing; computer based testing; e-Learning; e-Testing; online learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Interactive Collaborative Learning (ICL), 2013 International Conference on
Conference_Location :
Kazan
Type :
conf
DOI :
10.1109/ICL.2013.6644660
Filename :
6644660
Link To Document :
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