Harnessing generative AI for educational innovation: a TRIZ-PLR perspective
Abstract 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...
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| Format: | Article |
| Language: | English |
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Springer
2025-07-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-07467-3 |
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| _version_ | 1849331947696816128 |
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| author | Muhammad Saqib Iqbal Zulhasni Abdul Rahim Qudrattullah Omerkhel |
| author_facet | Muhammad Saqib Iqbal Zulhasni Abdul Rahim Qudrattullah Omerkhel |
| author_sort | Muhammad Saqib Iqbal |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-20e1bf8d0fc944dfb9daeef2ef77cc31 |
| institution | Kabale University |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-20e1bf8d0fc944dfb9daeef2ef77cc312025-08-20T03:46:21ZengSpringerDiscover Applied Sciences3004-92612025-07-017711310.1007/s42452-025-07467-3Harnessing generative AI for educational innovation: a TRIZ-PLR perspectiveMuhammad Saqib Iqbal0Zulhasni Abdul Rahim1Qudrattullah Omerkhel2NUST Business School, National University of Sciences & TechnologyInternational Institute of Technology, Universiti Teknologi MalaysiaComputer Science Faculty, Kabul Education UniversityAbstract 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. https://doi.org/10.1007/s42452-025-07467-3Generative artificial intelligenceTRIZPatent analysisTechnological innovationEducationPedagogical theories |
| spellingShingle | Muhammad Saqib Iqbal Zulhasni Abdul Rahim Qudrattullah Omerkhel Harnessing generative AI for educational innovation: a TRIZ-PLR perspective Discover Applied Sciences Generative artificial intelligence TRIZ Patent analysis Technological innovation Education Pedagogical theories |
| title | Harnessing generative AI for educational innovation: a TRIZ-PLR perspective |
| title_full | Harnessing generative AI for educational innovation: a TRIZ-PLR perspective |
| title_fullStr | Harnessing generative AI for educational innovation: a TRIZ-PLR perspective |
| title_full_unstemmed | Harnessing generative AI for educational innovation: a TRIZ-PLR perspective |
| title_short | Harnessing generative AI for educational innovation: a TRIZ-PLR perspective |
| title_sort | harnessing generative ai for educational innovation a triz plr perspective |
| topic | Generative artificial intelligence TRIZ Patent analysis Technological innovation Education Pedagogical theories |
| url | https://doi.org/10.1007/s42452-025-07467-3 |
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