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

Ninni Singh, Vinit Kumar Gunjan, Ramana Kadiyala, Qin Xin, Thippa Reddy Gadekallu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
41 Downloads (Pure)

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.
Original languageEnglish
Article number5092962
Number of pages14
JournalComputational Intelligence and Neuroscience
Volume2022
DOIs
Publication statusPublished - 16 Apr 2022

Keywords

  • classroom
  • learning environment
  • intelligent tutoring system
  • SeisTutor
  • Kirkpatrick’s four-phase evaluation model

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