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Performance Evaluation of SeisTutor Using Cognitive Intelligence-Based "Kirkpatrick Model"
Ninni Singh1, Vinit Kumar Gunjan1, Ramana Kadiyala2
1Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana 501401, India.
Abstract:
The classroom learning environment facilitates human tutors to interact with every learner and get the opportunity to understand the learner's psychology and then provide learning material (access learner prior knowledge and well align the learning material as per learner requirement) to them accordingly. Implementing this cognitive intelligence in intelligent tutoring system is quite tricky. This research has focused on mimicking human tutor cognitive intelligence in the computer-aided system of offering an exclusive curriculum to the learners. The prime focus of this research article is to evaluate the proposed SeisTutor using Kirkpatrick's four-phase evaluation model. Experimental results depicting the enhanced learning gain through intelligence incorporated SeisTutor as against the intelligence absence are demonstrated.
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