Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions DOI Creative Commons

Sunawar Khan,

Tehseen Mazhar, Tariq Shahzad

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 13, 2025

As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods institutional operations. can improve educational outcomes, resource management, long-term sustainability in education, according to this study. The research uses case studies best practices show how AI-driven innovations minimize impact, enhance energy efficiency, customize learning, creating more sustainable inclusive academic environment. document discusses ethics, including data privacy, algorithmic prejudice, the digital divide. It emphasizes need strong ethical frameworks use ethically make decisions with transparency fairness. study also robust rules infrastructure promote integration, protecting student privacy supporting fair access technologies. shows curriculum-building tools educate students future concerns stimulate innovation. prospects difficulties of are critically examined, its potential change traditional roles, performance, maintain profitability. Actionable recommendations educators, politicians, leaders contribute conversation. Focusing on creates framework where technology stewardship intimately connected, ensuring that institutions prosper fast-changing world.

Язык: Английский

Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions DOI Creative Commons

Sunawar Khan,

Tehseen Mazhar, Tariq Shahzad

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 13, 2025

As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods institutional operations. can improve educational outcomes, resource management, long-term sustainability in education, according to this study. The research uses case studies best practices show how AI-driven innovations minimize impact, enhance energy efficiency, customize learning, creating more sustainable inclusive academic environment. document discusses ethics, including data privacy, algorithmic prejudice, the digital divide. It emphasizes need strong ethical frameworks use ethically make decisions with transparency fairness. study also robust rules infrastructure promote integration, protecting student privacy supporting fair access technologies. shows curriculum-building tools educate students future concerns stimulate innovation. prospects difficulties of are critically examined, its potential change traditional roles, performance, maintain profitability. Actionable recommendations educators, politicians, leaders contribute conversation. Focusing on creates framework where technology stewardship intimately connected, ensuring that institutions prosper fast-changing world.

Язык: Английский

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