Title :
Intelligent online assessment methodology
Author :
M, Uday Kumar ; Mamatha, J. ; Jain, Sandesh ; Jain, Dhanander K.
Author_Institution :
CDAC, Hyderabad, India
Abstract :
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.
Keywords :
Web sites; computer aided instruction; content management; data mining; Web mining; World Wide Web; e-learning; information sources; intelligent online assessment; learning content management systems; pedagogy; Computers; Electronic learning; Engines; Mathematical model; Navigation; Web mining; Web services; CAT; CCT; IRT; QTI; Web Mining; e-Assessment; ePortfolio;
Conference_Titel :
Next Generation Web Services Practices (NWeSP), 2011 7th International Conference on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1125-1
DOI :
10.1109/NWeSP.2011.6088180
