A Parametrized Comparative Analysis of Performance Between Proposed Adaptive and Personalized Tutoring System “Seis Tutor” With Existing Online Tutoring System
Ninni Singh, Vinit Kumar Gunjan, Moustafa M. Nasralla
Abstract
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.
Topics & Concepts
TUTORComputer sciencePersonalizationIntelligent tutoring systemAdaptation (eye)Personalized learningHuman–computer interactionMultimediaLearning stylesArtificial intelligenceMathematics educationWorld Wide WebTeaching methodCooperative learningOpen learningPsychologyProgramming languageNeuroscienceIntelligent Tutoring Systems and Adaptive LearningEducational Technology and AssessmentOpen Education and E-Learning