the uses of machine learning (ml) in teaching and learning english language: a methodical review
Regular teaching methods for ESL/EFL may rely on assumptions that do not lead to the desired results in student learning. Consequently, the current study sought to perform a systematic review of the research that revealed numerous applications of machine learning (ML) in English language instruction (Applied Linguistics) and the development of interpretable machine learning or associated practical software. The current research employed a mixed-methods approach (approach) that included qualitative and quantitative analysis to survey the previous studies on machine learning in EFL/ESL instruction. Results showed that machine learning (ML) may teach English as a foreign language or as a second language and that it has a bright future in this sector. Interpretable machine learning (ML) was found to help in teaching many EFL/ESL topics such as dictation, phonetics instruction, language blogging, and all of which contribute to the facilitation of English language learning and teaching processes. Finally, the study concluded with recommendations for researchers in EFL or ESL on how to incorporate machine learning in English classrooms using functional programming languages, tools, and platforms. More studies were also advised to determine the most effective methods and procedures for incorporating machine learning (ML) into English as ESL/EFL in the classroom. (Published abstract)