An Adaptive and Interactive Agent Based ITS for Cognitive Skill Prediction and Improvement
Keywords:Intelligent Tutoring System, Interactive Learning Environment, Teaching and Learning Strategies, Cognitive Tutors, Agent based Intelligent Tutoring System, Competition based ITS, Education, Cognitive Prediction and Improvement, Game based ITS.
AbstractThis 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.
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How to Cite
Gowri, M. R., Kanmani, D. S., Santhosh, M., & Naresh, S. (2018). An Adaptive and Interactive Agent Based ITS for Cognitive Skill Prediction and Improvement. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 4(2), 604–612. https://doi.org/10.24297/ijct.v4i2C1.4179