generative ai to enhance learning outcomes in k-12 education
The critical importance of differentiated learning in English as Foreign Language (EFL) classrooms is grounded on the need to meet the diverse requirements of K-12 students. Traditional classroom instructions fail to accommodate individual differences in learning skills, preference choices, and thinking capabilities. Integration of generative AI technologies that include emergency systems, for example, ChatGPT, GPT-4, and additional natural language processing models allows teachers to develop customized educational experiences at full efficiency. Generated AI content meets personalized student needs, as AI tools deliver immediate feedback and help students to practice English in suitable contextual environments. The aim of this research is to examine the implementation of generative AI technology in EFL teaching environments with special emphasis on its potential to improve student learning adaptation effectiveness. This study leverages the mixed-methods research to analyze the existing literature and explore theoretical frameworks with presentation of empirical findings. Generative AI technology offers numerous educational possibilities, yet researchers explore implementation barriers including educator skill development needs and technological access challenges alongside ethical standards. Student participation and learning success improves fundamentally when generative AI becomes widely accessible despite the unresolved deployment hurdles. (Published abstract)