Scholarlink

<p>This study investigates the transformative potential of Generative Artificial Intelligence (GenAI) in education using the TRIZ-Patent Literature Review (TRIZ-PLR) framework. By analysing patents related to GenAI, this study identifies technological challenges, inventive solutions, and their implications for educational practices. The findings highlight advances in adaptive learning systems, optimised virtual classrooms, and predictive analytics, demonstrating how GenAI can improve personalised learning, student engagement, and academic performance. This study provides actionable information for educators, administrators, and technology developers, highlighting the importance of ethical considerations and equitable implementation. The study concludes with recommendations for scaling GenAI solutions in education, while addressing future research needs. </p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Harnessing generative AI for educational innovation: a TRIZ-PLR perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月15日

查看全文
  • Muhammad Saqib Iqbal,
  • Zulhasni Abdul Rahim,
  • Qudrattullah Omerkhel

摘要

This study investigates the transformative potential of Generative Artificial Intelligence (GenAI) in education using the TRIZ-Patent Literature Review (TRIZ-PLR) framework. By analysing patents related to GenAI, this study identifies technological challenges, inventive solutions, and their implications for educational practices. The findings highlight advances in adaptive learning systems, optimised virtual classrooms, and predictive analytics, demonstrating how GenAI can improve personalised learning, student engagement, and academic performance. This study provides actionable information for educators, administrators, and technology developers, highlighting the importance of ethical considerations and equitable implementation. The study concludes with recommendations for scaling GenAI solutions in education, while addressing future research needs.