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Reseach Article

Smart Tutor an Intelligent Tutoring System for C Sharp Programming Bahria University Karachi Campus

by Asma Khan, M. Junaid Quadri, Muhammad Noman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 27
Year of Publication: 2018
Authors: Asma Khan, M. Junaid Quadri, Muhammad Noman
10.5120/ijca2018916646

Asma Khan, M. Junaid Quadri, Muhammad Noman . Smart Tutor an Intelligent Tutoring System for C Sharp Programming Bahria University Karachi Campus. International Journal of Computer Applications. 180, 27 ( Mar 2018), 28-33. DOI=10.5120/ijca2018916646

@article{ 10.5120/ijca2018916646,
author = { Asma Khan, M. Junaid Quadri, Muhammad Noman },
title = { Smart Tutor an Intelligent Tutoring System for C Sharp Programming Bahria University Karachi Campus },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 180 },
number = { 27 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number27/29146-2018916646/ },
doi = { 10.5120/ijca2018916646 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:57.919747+05:30
%A Asma Khan
%A M. Junaid Quadri
%A Muhammad Noman
%T Smart Tutor an Intelligent Tutoring System for C Sharp Programming Bahria University Karachi Campus
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 27
%P 28-33
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, application software has been presented called as smart Tutor, which in reality an intelligent tutoring System. The proposed system will let the user to learn the C# programming language. The decision making process conducted in our intelligent system is guided by a Bayesian network approach to support students in learning computer programming, which is framework for uncertainty management in the field of Artificial management. This system would provide a platform for the students to understand the basic programming concepts through sequence of training concept of programming language. In this paper we will discuss about how system is integrated with Bayesian network as an inference engine to improve student learning process. The significance of this work is that ,it has replaced the traditional Static Tutorials, Where students learn through video tutorials or text lectures who never come to know about the student learning potential or either the learner has learnt the topic properly before moving on to the next topic. ST will lead the student to navigate through all the available online Course material and will provide the necessary recommendations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Intelligent Tutoring System Bayesian Network