Enhancing Language Proficiency Through TPACK Model and AI Applications A Study on Effective Integration Strategies in English Language Instruction

Abstract

The current paper investigates the application of the Technological Pedagogical Content Knowledge model along with Artificial Intelligence technological applications to advance English language proficiency. It also studies applications and effective tools within this model to improve the interactive and personalization’s of the learning curve. The data was collected through qualitative research methodology with the help of interviews, and feedback provided by the 10 students as a sample of the study. According to the collected and analyzed data regarding the experiences of the teachers and learners in regard to the integration of these strategies, it was found that the use of the TPACK model with AI applications allows for potential new and improved ways of enhancing language proficiency and ensuring that students receive a more personalized approach to learning by increasing both the level of engagement and the availability of feedback. Finally, the study also articulates multiple challenges and barriers that need to be addressed to facilitate the successful implementation of the discussed intervention strategies and offer their solutions for educators and policymakers. Therefore, Leverage AI-based adaptive learning solutions such as Khan Academy, or Duolingo to customize the content and the delivery of instruction to the unique abilities and academic requirements of each student, allowing for targeted practice in reading, writing, listening, or speaking.