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Paper Title : PERSONALIZED AFFECTIVE FEEDBACK TO ADDRESS STUDENTS FRUSTRATION IN ITS

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7296032

Authors: Akshaya K, Manasa K,Sudheeksha L

         


Abstract
The role and importance of affective states in learning has led many intelligent tutoring systems (ITS) to include the affective states of the students in their models of learners. The adaptation and thus the benefits of a ITS can be enhanced by detecting and responding to the affective states of the students. We developed an ITS model for boosting the confidence level of students by recognizing the wrong answer given by student and sending motivation messages. Hence we use a theory Such messages are generated based on attribution theory to applaud the student's initiative, to attribute the results to the established source, In this paper, we presented a linear regression model to analyze the student’s requirement of motivational messages based on their performance.

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Keywords
— Intelligent Tutoring Programs (ITS), Linear Regression, feedback, motivation and non-motivation message