A Parametrized Comparative Analysis of Performance Between Proposed Adaptive and Personalized Tutoring System "Seis Tutor" With Existing Online Tutoring System

Face-to-face tutoring offers a learning environment that best suits the learner's preferences (learning styles) and grasping levels (learning levels). This cognitive intelligence has been blended in our proposed intelligent tutoring system christened as "Seis Tutor". In this paper, we...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.39376-39386
Main Authors: Singh, Ninni, Gunjan, Vinit Kumar, Nasralla, Moustafa M.
Format: Article
Language:English
Subjects:
Adaptation models
Bayes methods
course builder
Education
Educational courses
Electronic learning
Intelligent systems
intelligent tutoring system
Learning
my moodle
Open source software
personalization and adaptation
SeisTutor
teachable
Tutoring
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Summary:Face-to-face tutoring offers a learning environment that best suits the learner's preferences (learning styles) and grasping levels (learning levels). This cognitive intelligence has been blended in our proposed intelligent tutoring system christened as "Seis Tutor". In this paper, we have detailed the architecture of Seis Tutor system and compared it with other existing traditional tutoring systems. Further, the performance of Seis Tutor has been evaluated in terms of personalization and adaptation through a comparison with some existing tutoring systems, i.e., My Moodle, Course-Builder, and Teachable.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3166261