This paper investigates the application of generative Artificial Intelligence (AI) in enhancing critical thinking and active learning within a project-based learning (PBL) English language project for second-year engineering students. As engineering education evolves, proficient communication skills have become essential, requiring innovative strategies to engage students effectively. Generative AI offers opportunities to transform traditional language instruction through adaptive, personalized learning experiences. By leveraging tools like ChatGPT, Grammarly, and Padlet, the study demonstrates how AI can foster critical thinking and linguistic competencies, facilitating interactive and engaging learning environments. A mixed-methods approach, including a survey and a case study at Esprit School of Engineering, evaluates students’ use of generative AI and its impact on learning outcomes. The findings highlight the benefits, challenges, and ethical considerations of integrating AI into education, proposing a framework for effective implementation. This research contributes to the discourse on sustaining educational excellence in engineering through interdisciplinary applications of AI.

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Harnessing Generative AI to Enhance Critical Thinking and Active Learning in a Second-Year English Language Project for Engineering Students: A Case Study

  • Mayssa Souissi

摘要

This paper investigates the application of generative Artificial Intelligence (AI) in enhancing critical thinking and active learning within a project-based learning (PBL) English language project for second-year engineering students. As engineering education evolves, proficient communication skills have become essential, requiring innovative strategies to engage students effectively. Generative AI offers opportunities to transform traditional language instruction through adaptive, personalized learning experiences. By leveraging tools like ChatGPT, Grammarly, and Padlet, the study demonstrates how AI can foster critical thinking and linguistic competencies, facilitating interactive and engaging learning environments. A mixed-methods approach, including a survey and a case study at Esprit School of Engineering, evaluates students’ use of generative AI and its impact on learning outcomes. The findings highlight the benefits, challenges, and ethical considerations of integrating AI into education, proposing a framework for effective implementation. This research contributes to the discourse on sustaining educational excellence in engineering through interdisciplinary applications of AI.