Motivational Factors for ELT enhancement and Machine Learningprediction

Motivation plays an important role in education to make the students an active subject inlearning and significantly effect on their own learning and their peers. Moreover, teacher asone of the important lope of the educational chain could motivate the learners to play anactive role in learning. Thus, the educational experts attempt using motivational factors toencourage the learners for getting better result at the end of the course. Though, theresearchers think of a predicting technique to help learners at the initiation of the semesterby motivational questionnaire and utilizing Machine Learning (ML). Current researchersselected a cohort of ۹۹ students who selected General English course through randomsampling from both sexes from the university context to fill the questionnaire that was in a۵-point Likert type scale using motivational factors. Usually, Linear Regression or LogisticRegression are used for analyzing data according to the dependent variables. But, in thepresent study data was analyzed using Support Vector Machine (SVM) which is thealgorithm that is used for predicting students' performance in English course. Thus, (SVM)is compared with logistic regression (LR). The accuracy of ۷۳.۳۳% for LR and ۹۶.۶۶% forSVM, indicated a much higher accuracy in SVM method.

کلیدواژه ها:

Motivational Factors ، Learning ، Machine learning ، Logistic Regression ، SupportVector Machine