NEXT GENERATION ELT DYNAMICS IN PAKISTAN: A STUDY OF LANGUAGE TEACHERS’ DESIGN THINKING COMPETENCY IN ARTIFICIAL INTELLIGENCE LANGUAGE TEACHING (LTDTAILT)

Abstract

Artificial intelligence has initiated a new wave of teaching and learning English in Pakistan, which can help meet the Next Generation Scientific Standards in the country. This study aims to understand current practices of EFL teachers at the graduate level concerning Next Generation ELT dynamics and to assess teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT). The research is descriptive and based on a survey. It uses the tool developed by Amir Raza Rahemi (2025) in his study, “Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT),” which includes 22 research items. The questionnaire surveyed 100 EFL teachers at different levels in Pakistan and received 76 responses. SPSS version 27 was employed for data analysis and visualization. An online survey of 76 EFL teachers (44 males, 32 females) was conducted using a purposive sampling method. The analysis results showed a high tendency towards design thinking in language teaching through AI. It is recommended to support next-generation ELT equity and innovation in Pakistan through customized professional development, equitable infrastructure, and curriculum enhancements needed for DT.

Key Terms: Next Generation, ELT, ELT Dynamics, Thinking Competency, Language Teacher’s Design Competency, Artificial Intelligence, Artificial Language Teaching