Open AccessImplementation and Evaluation of Intelligence Incorporated Tutoring System
Author(s) -
Ninni Singh,
Neelu Jyothi Ahuja
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9849.0881019
Subject(s) - explication , intelligent tutoring system , computer science , domain (mathematical analysis) , session (web analytics) , domain knowledge , human intelligence , mathematics education , artificial intelligence , multimedia , natural language processing , psychology , world wide web , linguistics , mathematical analysis , philosophy , mathematics
This research article elaborates the explication of domain knowledge into a tutorable form and illustrates the prediction of tutoring strategy prior to beginning of the tutoring session. The proposed intelligent tutoring system is christened as SeisTutor. It impersonates human intelligence by adjudging best tutoring strategy for the learner. An empirical analysis has been performed on group of applicants having fundamental knowledge of the domain. Experimental analysis reveals that the learners who have undergone tutoring through ‘SeisTutor’ embedded with intelligence present an overall 44.5 % learning gain as against that of 24.8 % shown by learners who underwent tutoring through the ‘SeisTutor’, while it does not impersonate intelligence by choosing content and style for the learner.