An Adaptive and Interactive Agent Based ITS for Cognitive Skill Prediction and Improvement

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 4, Issue 2

Abstract

This paper proposes an adaptive and interactive agent based intelligent tutoring system for cognitive ability realization and improvement (ITSCARE - Intelligent Tutoring System for Cognitive Ability Realization and Improvement). ITSCARE allows the learners to realize their cognitive ability and to improve their cognition while studying the course. It provides different types of course materials which are dynamically adapted. It also increases the confidence level of the learners and provides an effective learning experience. This system also provides game based learning which influences the learners to get motivated and focus on the course. After the completion of each chapter, a test is conducted to predict the cognitive ability where students are assessed using their help seeking skills during the test and cognitive skill factors such as memory, concentration, attention in detail etc,. It uses politeness style to provide the test results and feed back to the students which keep the learner interest in the subject. Collaborative learning among the learner is improved by conducting quiz competition where a group of students participate and a winner is chosen. It uses different type of software agent to predict and improve the cognitive skill.

Authors and Affiliations

Mrs. R. Gowri, Dr. S. Kanmani, M. Santhosh, S. Naresh

Keywords

Related Articles

Retrieving information chunks from a repository of documents SIT Collected from heterogeneous sources

XML documents are generated from heterogeneous resources. They may share the same data but in different Schema, which make it difficult to retrieve information from them. In this paper we propose a new technique that fir...

A new insight into Wavelet Transforms using the concepts of Frame Theory

Wavelet analysis being a relatively new subject of study is being explored, all around the globe, using various mathematical tools, currently available. This paper is a humble attempt to provide a comprehensive study of...

An Adaptable Security Framework for Wireless Sensor Networks

The design of secure and survivable nodes is one of the most vital issues in designing energy-efficient protocols for wireless sensor network where the energy, memory and computational power of sensor nodes are limited...

EVALUATION OF BITMAP INDEX USING PROTOTYPE DATA WAREHOUSE

Bitmap indices have become popular access methods for data warehouse applications and decision support systems with large amounts of read-mostly data. This paper could arrive a number of results such as ; Bitmap Index hi...

HEAP: Hybrid Energy-efficient Aggregation Protocol for Large Scale Wireless Sensor Networks

Wireless sensor networks (WSNs) can be meritoriously used in several application areas like agriculture, military surveillance, environmental monitoring, forest fire detection etc. Since they are used to monitor large ge...

Download PDF file
  • EP ID EP650020
  • DOI 10.24297/ijct.v4i2C1.4179
  • Views 89
  • Downloads 0

How To Cite

Mrs. R. Gowri, Dr. S. Kanmani, M. Santhosh, S. Naresh (2013). An Adaptive and Interactive Agent Based ITS for Cognitive Skill Prediction and Improvement. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 4(2), 604-612. https://europub.co.uk/articles/-A-650020