Intelligent online assessment methodology

Intelligent online assessment methodology

Applying intelligence in e-Learning services has been the focus of several recent research projects and papers, and with the explosive growth of information sources available on the World Wide Web, the existing e-Learning services requires pedagogical overhauling for keeping pace with the trends in...

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Hauptverfasser: Uday Kumar, M., Mamatha, J., Jain, S., Jain, D. K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
CAT
CCT
Computers
e-Assessment
Electronic learning
Engines
ePortfolio
IRT
Mathematical model
Navigation
QTI
Web mining
Web services
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Mamatha, J.
Jain, S.
Jain, D. K.
description Applying intelligence in e-Learning services has been the focus of several recent research projects and papers, and with the explosive growth of information sources available on the World Wide Web, the existing e-Learning services requires pedagogical overhauling for keeping pace with the trends in e-Learning. One of several possibilities can be its application to Online Assessment. In this Paper, we present the system architecture for applying intelligent 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.
doi_str_mv 10.1109/NWeSP.2011.6088180
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects CAT
CCT
Computers
e-Assessment
Electronic learning
Engines
ePortfolio
IRT
Mathematical model
Navigation
QTI
Web mining
Web services
title Intelligent online assessment methodology
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