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<p>In education, AI has become a disruptive phenomenon, reshaping learning techniques, results, and applications. Institutions of learning can leverage technology and digital tools to enable modern teaching methods with the desired student engagement. By allowing for adaptive software such as automatic tutoring systems and student targeted learning materials, AI can increase technical problem-solving within the TPACK framework. The data was collected from 516 educators of various technology and non-technology courses during the first 3&#xa0;months of 2025. The analysis was done using the Smart PLS—SEM and ANN approach to confirm the proposed models significant predictors influencing classroom engagement. The results of the study suggest that academics should use artificial intelligence combined with subject matter expertise and innovative teaching practices to foster creativity, trust, and understanding in today’s classrooms which naturally enhance student engagement. Rather than a passive response to educational inputs, student engagement is conceived as an active mindset supported by relevant knowledge bases, engaging methodologies, and immersive learning settings—complexities enabled through AI-empowered pedagogy. The results will provide useful tools for academic organizations and academics to utilise AI as a tool for them to be efficient in new teaching techniques. AI learning tools can promote creativity, expand the range of methods enhance student engagement and be a new concept to a game-changer educational engagement.</p>

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AI-driven classrooms: building creative pedagogies through digital literacy and infrastructure empowerment an AI-TPACK approach

  • 期刊论文

  • 发表日期：

    2026年1月21日

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  • Viral Bhatt,
  • Mamta Brahmbhatt,
  • MohammedShakil S. Malek,
  • Ravi Rajai

摘要

In education, AI has become a disruptive phenomenon, reshaping learning techniques, results, and applications. Institutions of learning can leverage technology and digital tools to enable modern teaching methods with the desired student engagement. By allowing for adaptive software such as automatic tutoring systems and student targeted learning materials, AI can increase technical problem-solving within the TPACK framework. The data was collected from 516 educators of various technology and non-technology courses during the first 3 months of 2025. The analysis was done using the Smart PLS—SEM and ANN approach to confirm the proposed models significant predictors influencing classroom engagement. The results of the study suggest that academics should use artificial intelligence combined with subject matter expertise and innovative teaching practices to foster creativity, trust, and understanding in today’s classrooms which naturally enhance student engagement. Rather than a passive response to educational inputs, student engagement is conceived as an active mindset supported by relevant knowledge bases, engaging methodologies, and immersive learning settings—complexities enabled through AI-empowered pedagogy. The results will provide useful tools for academic organizations and academics to utilise AI as a tool for them to be efficient in new teaching techniques. AI learning tools can promote creativity, expand the range of methods enhance student engagement and be a new concept to a game-changer educational engagement.