Exploring English Language Learning through Tutoring and Artificial Intelligence: A Case Study from the University of Costa Rica

Abstract

This study sought to explore the outcome of English as a Foreign Language (EFL) instruction at the University of Costa Rica through instructor-led tutoring sessions and artificial intelligence tools on student learning experience. Research was based on a qualitative methodology and a single case study that consisted of interviews, participant observation, and documented analysis. The student participating in the study had come from a rural institution that employed conventional pedagogical approaches where she had faced academic difficulties. Having previously failed the course, she was plagued by low self-confidence. However, the combination of tutoring and AI-based programs, such as Speak & Improve and NaturalReaders enabled the student to overcome psychological barriers and markedly improve her English speaking, pronunciation, listening, and reading skills. Throughout the course, the student consistently showed progress in her writing with greater command of verb tenses and coherence in her compositions. As her confidence level increased, she dismissed her belief that English was exceedingly difficult, attaining a sense of personal satisfaction after passing the course. The  findings of the study reveal that instructor-led tutoring combined with AI tools, can, not only improve the efficacy of language training, but also provide students with a meaningful learning experience.