Knowledge Navigator for Intelligent Collaborative E-Tutoring: A Proposed Framework using Fuzzy Cognitive Agent
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

Knowledge Navigator for Intelligent Collaborative E-Tutoring: A Proposed Framework using Fuzzy Cognitive Agent

Neha Gulati

With access to wide-ranging technologies; tremendous web data from heterogeneous sources and different learning abilities; it is desired to develop learner oriented knowledge navigation based tutoring system. The present study suggests a fuzzy cognitive agent based knowledge navigator for intelligent tutoring in a collaborative environment. It can be used to provide an insight to the cognitive aspects of tutor and learner during knowledge navigation; knowledge access and their response to social interactive collaborative environment. The system referred as KNITS; simulates thought process during collaborative activity; and thus; navigates relevant; unambiguous content using BDI (Belief-Desire-Intention) Model. It is also proposed that based on the empirical data gathered during the tutoring session; the system must suggest an appropriate learning path for learner and effective tutoring strategy for tutor. It attempts to model learners and tutors cognitive process; analyses the similarities and differences in the learning paths followed by different learners; acquires this new knowledge to fed to the agent by the instructional designer. The system uses fuzzy cognitive map to assist the learner in knowledge navigation by becoming more aware of the learners cognitive ability and attitude towards collaborative environment and thus; make strategies for efficient navigation based on experience. It can be used to determine the correlation between learning pattern and tutors efficacy. The impact of self paced and collaborative E-Tutoring on learners cognitive capability can also be traced. Aiding the acquisition of cognitive abilities is an important issue within the teaching-learning process. It develops an effective simulation of the problem solution in a given domain; from the human point of view and thus helps to control the way collaborative process is executed.

Keywords: BDI, E-Tutoring, Fuzzy Cognitive Agent, ICT, ITS

Edition: Volume 3 Issue 6, June 2014

Pages: 772 - 775

Share this Article

How to Cite this Article?

Neha Gulati, "Knowledge Navigator for Intelligent Collaborative E-Tutoring: A Proposed Framework using Fuzzy Cognitive Agent ", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014198, Volume 3 Issue 6, June 2014, 772 - 775

108 PDF Views | 93 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'BDI'

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014

Pages: 979 - 982

Delay-Tolerant Bulk Information Transfers on the Web

A. Amarnath

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 772 - 775

Knowledge Navigator for Intelligent Collaborative E-Tutoring: A Proposed Framework using Fuzzy Cognitive Agent

Neha Gulati

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015

Pages: 471 - 474

A Neural Network Approach to Character Recognition

Pritesh A. Pali, Anjusha Pimpalshende

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 1897 - 1900

A Novel Approach for Improving Efficiency of Agglomerative Hierarchical Clustering For Numerical Data Set

Amar S. Chandgude, Vijay Kumar Verma

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 3109 - 3112

Optimization for a Distributed Query

Parminder Kaur

Share this Article

Similar Articles with Keyword 'ICT'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1454 - 1458

Heart Disease Prediction with Machine Learning Approaches

Megha Kamboj

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 2267 - 2274

Two Accounts of Solitude in Online Communal Networks

Alla Venu Gopal, G. Srinivasa Reddy

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 886 - 889

Survey on Algorithms Predicting Performance of Keyword Queries

Snehal Borole

Share this Article

Research Paper, Computer Science & Engineering, China, Volume 9 Issue 4, April 2020

Pages: 1544 - 1554

Recent Developments on Probabilistic Graphical Model Applied in Data Analysis

Kan'Sam Nadjak, Guisheng Yin

Share this Article

Similar Articles with Keyword 'ITS'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 6 Issue 11, November 2017

Pages: 338 - 384

Managing Uncertainty in Supply Chain Operating Cost Using Genetic Algorithm

Dr. Niju P. Joseph, Dr. Priyanka Surendran

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 6 Issue 8, August 2017

Pages: 868 - 874

Study of Power Management in Adhoc Networks

Anandhi Giri, S. K. Srivatsa

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 1789 - 1791

The Survey Paper on Importance of Integration of Knowledge Management and Business Intelligence

Vina Lomte, Saloni Shah

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 2786 - 2790

Survey: Detection Schemes Against Selective Forwarding Attack

Harpal Singh, Vaibhav Pandey

Share this Article
Top