Investigating the Impact of Personalized AI Tutors on Language Learning Performance

TL;DR

This study evaluates how personalized AI tutors influence language learning by examining student engagement, performance, and satisfaction through a quasi-experimental design involving pre- and post-tests.

Contribution

It provides empirical evidence on the effects of AI tutors on language learning outcomes and student engagement, addressing a gap in current research.

Findings

AI tutors improve student engagement in language learning.

Students show increased academic performance after using AI tutors.

Enhanced student satisfaction with personalized AI tutoring experiences.

Abstract

Driven by the global shift towards online learning prompted by the COVID 19 pandemic, Artificial Intelligence has emerged as a pivotal player in the field of education. Intelligent Tutoring Systems offer a new method of personalized teaching, replacing the limitations of traditional teaching methods. However, concerns arise about the ability of AI tutors to address skill development and engagement during the learning process. In this paper, I will conduct a quasi experiment with paired sample t test on 34 students pre and post use of AI tutors in language learning platforms like Santa and Duolingo to examine the relationship between students engagement, academic performance, and students satisfaction during a personalized language learning experience.