Improvisation of Learner’s Ability using Adaptive Online Assessment Methodology
Keywords:
e-Assessment, QTI, CAT, CCT, IRT, ePortfolio, Web MiningAbstract
Learning experience can be enhanced by providing adaptability in online assessment, which is the focus of several recent research projects and papers, and with the explosive growth of information sources available on the World Wide Web. In this Paper, we present the system architecture for applying psychological methodologies to online assessment that adapts to the examinee’s ability level and the other side we describe that web mining can be applied to Learning Content Management Systems to build knowledge about e-Learning and has potential to help and improve learner’s performance. This paper also outlines how to increase the knowledge proficiency and skill set after identifying the ability level.
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Copyright (c) 2023 International Journal of Computer Information Systems and Industrial Management Applications

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