DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLNE-10650

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-6,Issue-1  ( Jan, 2018 )
Paper Title
Designing Student Module for Kitweb
Author Name
Anagha A. Ralegaonkar, S.B. Thorat, P.K. Butey, A. P. Thakare
Affilition
Research Scholar, Deptt. of Electronics & Computer Sci. RTMNU, Nagpur, MS, India Director, SSBES’s, Institute of Technology & Management, Nanded-431602, MS, India HOD & Associate Professor, Computer Science, Kamla Nehru Mahavidyalaya, Nagpur,MS, India Professor and Head, Sipna College of Engineering and Technology, Amravati
Pages
32-36
Abstract
An intelligent tutoring system is computer software designed to simulate a human tutor’s behavior and guidance. In order to develop the software’s that present students effective instruction methods and provide education with being adapted to students, studies are carried out. Intelligent Tutoring Systems (ITSs) are designed with using Artificial Intelligence (AI) techniques in computer programs and called cognitive tutors or Knowledge Based Tutoring Systems which can guide learners to progress in the learning process at their best and to facilitate instruction. Intelligent Tutoring Systems have revolutionized online education by providing individualized instruction tailored towards each student. Software testing is one of the most largely known and necessary field in software engineering. We present KITWEB, the Knowledge based Interactive Tutoring system for WEB application testing. KITWEB teaches different testing techniques testing as well as it gives the practical testing experience to its users. While evaluating the users the test data and testing results the system presents appropriate feedback regarding any errors in their solution. The main aim of the system is to individualize instruction towards a particular student. Keywords - Knowledge based Interactive Tutoring system for WEB application testing(KITWEB), Constraint based modeling (CBM), Intelligent Tutoring Systems (ITS), Bayesian Network (BN), Student Module (SM), Pedagogical Module, Report Module
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