Conceptual Framework of an Intelligent Tutor for Teaching English Grammar to High School Students

Abstract

This paper presents a framework for an intelligent tutoring system (ITS) to teach English grammar to high school students. The framework includes scripts to teach a student about a particular topic followed by assessment related to the topic. It also provides learning material in the form of gifs and videos to supplement text for better understanding. Deep learning methods have been used to automatically fetch answers to Multiple Choice Questions (MCQs) based assessments. Machine learning algorithms have been used to automatically detect student's learning styles for language. The framework also includes analyzing cognitive thinking level of the student according to bloom's order of thinking skills.