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Innovating Education 6.0 With LLM Classroom Strategies for Robotics and Computing Skills Integration in EFL Ecosystem
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Author(s): Muthmainnah Muthmainnah (Universitas Al Asyariah Mandar, Indonesia), Besse Darmawati (National Research and Innovation Agency, Indonesia), Abd. Rasyid (National Research and Innovation Agency, Indonesia), Sutejo Sutejo (National Research and Innovation Agency, Indonesia), Sri Haryatmo (National Research and Innovation Agency, Indonesia), Nurweni Saptawuryandari (National Research and Innovation Agency, Indonesia), Ahmad Al Yakin (Universitas Al Asyariah Mandar, Indonesia)and Ismail Lamaakal (Multidisciplinary Faculty of Nador, Mohammed Premier University, Oujda, Morocco)
Copyright: 2026
Pages: 28
Source title:
Theory, Practice, and Future Direction of Large Language Models
Source Author(s)/Editor(s): Ismail Lamaakal (University Mohammed Premier, Morocco), Yassine Maleh (Sultan Moulay Slimane University, Morocco), Khalid El Makkaoui (University Mohammed Premier, Morocco), Ibrahim Ouahbi (University Mohammed Premier, Morocco)and Ahmed Abd El-Latif (Prince Sultan University, Saudi Arabia)
DOI: 10.4018/979-8-3693-8387-2.ch006
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Abstract
The purpose of this study is to improve classroom tactics in teaching computing and robotics in an EFL environment. It seeks to investigate the integration of Large Language Models (LLM) within the Education 6.0 framework. This study contributes to the growing body of literature on the role of AI in the classroom by demonstrating that LLM can serve as a bridge between technical and language instruction. Future research should investigate the long-term effects of LLM integration on student performance and extend this strategy to other STEM-related domains within the EFL ecosystem.
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