Performance Evaluation of SeisTutor Using Cognitive Intelligence‐Based “Kirkpatrick Model”

Author:

Singh Ninni1ORCID,Gunjan Vinit Kumar1ORCID,Kadiyala Ramana2ORCID,Xin Qin3ORCID,Gadekallu Thippa Reddy4ORCID

Affiliation:

1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana 501401, India

2. Department of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India

3. University of the Faroe Islands, Faroe Islands, Denmark

4. Department of Information Technology, Vellore Institute of Technology, Vellore, Tamilnadu, 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.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference30 articles.

1. An expert system for seismic data interpretation using visual and analytical tools;N. J. Ahuja;International Journal of Scientific Engineering and Research,2012

2. Techniques for evaluating training programs;D. L. Kirkpatrick;Training & Development Journal,1979

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