Generative Ai In Higher Education A Strategic Framework For Building on this analysis, the present study systematically examines recent academic contributions to identify emerging patterns, regulatory gaps, and ethical priorities for the responsible implementation of generative ai in higher education (coelho et al., 2025). This study evaluates the benefits and challenges of genai, providing insights into how higher education institutions (heis) can leverage its advantages while addressing its challenges to ensure inclusive and sustainable quality education.
Using Generative Ai Effectively In Higher Education Sustainable And Abstract the proliferation of generative artificial intelligence (genai) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods and practices within higher education (he). The observability of gai integration within higher education, as revealed by our findings, underscores a nuanced landscape where a subset of universities is taking significant strides toward embedding gai technologies within their educational ecosystems. This paper thoroughly examines both the opportunities and obstacles associated with integrating generative artificial intelligence (ai) into educational settings. Therefore, this paper reviews the impact of generative ai on higher education through a desk analysis of existing literature. key opportunities and challenges are highlighted, providing a holistic overview of the subject matter.
Navigating The Opportunities And Challenges Of Generative Ai In This paper thoroughly examines both the opportunities and obstacles associated with integrating generative artificial intelligence (ai) into educational settings. Therefore, this paper reviews the impact of generative ai on higher education through a desk analysis of existing literature. key opportunities and challenges are highlighted, providing a holistic overview of the subject matter. Generative artificial intelligence (genai) is transforming higher education in terms of pedagogy, student involvement, and academic management. this systematic literature review examines 30 peer reviewed articles published from 2019 to 2025, adhering to prisma 2020 and kitchenham’s methodologies. descriptive and thematic analyses highlight five opportunities: (a) tailored and adaptive. Abstract the integration of generative artificial intelligence (gai) in higher education presents significant opportunities and challenges, yet a systematic understanding of its multifaceted impact remains fragmented. this systematic review synthesizes empirical evidence on gai implementation to propose an integrated framework of best practices. This study investigates the impact of generative ai (genai) on higher engineering education through informed educational fiction. based on educators’ predictions and analyzed through cultural historical activity theory (chat), the study presents six near future scenarios. The integration of multiple forms of generative artificial intelligence in higher education represents a profound transformation carrying both unprecedented opportunities and complex challenges.
Generative Ai And Higher Education Challenges And Opportunities Generative artificial intelligence (genai) is transforming higher education in terms of pedagogy, student involvement, and academic management. this systematic literature review examines 30 peer reviewed articles published from 2019 to 2025, adhering to prisma 2020 and kitchenham’s methodologies. descriptive and thematic analyses highlight five opportunities: (a) tailored and adaptive. Abstract the integration of generative artificial intelligence (gai) in higher education presents significant opportunities and challenges, yet a systematic understanding of its multifaceted impact remains fragmented. this systematic review synthesizes empirical evidence on gai implementation to propose an integrated framework of best practices. This study investigates the impact of generative ai (genai) on higher engineering education through informed educational fiction. based on educators’ predictions and analyzed through cultural historical activity theory (chat), the study presents six near future scenarios. The integration of multiple forms of generative artificial intelligence in higher education represents a profound transformation carrying both unprecedented opportunities and complex challenges.
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