Investigating the Impact of Personalized AI Tutors on Language Learning Performance
This addresses the challenge of enhancing online language learning for students, but it is incremental as it applies existing methods to a specific context.
The study tackled the problem of whether personalized AI tutors can improve language learning by conducting a quasi-experiment with 34 students, finding that their use led to significant gains in engagement, academic performance, and satisfaction.
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.