Year: 2026 | Month: June | Volume 13 | Issue 1
Advancing Education through Generative AI: A Strategic Framework for Learning Innovation
S. Pradhan1* and R. Bhatta2
DOI:10.30954/2348-7437.1.2026.3
Abstract :
With the tremendous expansion of generative artificial intelligence (GenAI) in the last months of 2022, artificial intelligence (AI) has seen a sudden surge in popularity. AI literacy has become crucial skill that must be acquired to succeed in both academic and workplace settings. Algorithmic prejudice within GenAI systems poses significant challenges that undermine equitable educational outcomes. The objective of the study is to investigate, assess and explore a strategic, market-oriented framework for integrating Generative AI (GAI) into educational systems, and explore strategies that mitigate ethical risks. This study adopts a quantitative approach using explanatory research design and cross-sectional survey method employed to collect primary data from both faculty members and students within higher education institutions located inside the Kathmandu Valley The study aims to identify the extent to which the LIPSAL dimensions, GAI integration, and ethical requirement contribute to institutional innovation and sustainability, and how academic learning mediates these relationships. Within each stratum, respondents has been selected using simple random samplings to minimize selection bias. The findings of the study revealed that GAI adoption is strongly aligned with learner behavior, academic skills, and institutional readiness. Overall, the results contribute meaningful evidence to the field of educational technology, importance of strategic AI integration, ethical governance, and continuous pedagogical support illustrating that generative AI is not only reshaping how students learn but also redefining how institutions evolve, innovate, and sustain their growth in an increasingly digital academic ecosystem.
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