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Educational Revolution through Studying the Potential of Artificial Intelligence in Sustainable Development Asfahani Asfahani; Nova Krisnawati; Digvijay Pandey
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

The integration of artificial intelligence (AI) into education has emerged as a transformative force with profound implications for sustainable development. This study explores the potential of AI in revolutionizing educational paradigms to address socio-environmental challenges. The method research through a comprehensive literature review and semi-structured interviews with stakeholders, the research elucidates the role of AI in personalizing learning experiences, enhancing educational outcomes, and fostering critical thinking skills essential for sustainability. The results underscore the importance of ethical considerations and equitable access to AI technologies in ensuring that educational advancements benefit all learners equitably. Building upon prior theoretical frameworks, the study contributes to a holistic understanding of the complex dynamics and implications of leveraging AI in education for sustainable development. Recommendations for future research include exploring innovative pedagogical approaches, assessing long-term impacts, and addressing the digital divide to foster a more inclusive and environmentally sustainable future.
Utilization AI for Socially Responsive Education as a Path to Inclusive Development Zohaib Hassan Sain; Asfahani Asfahani; Nova Krisnawati
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

The integration of Artificial Intelligence (AI) into educational practices has garnered increasing attention as a potential pathway to fostering inclusive development. This study investigates the utilization of AI for socially responsive education, aiming to explore its opportunities, challenges, and implications for promoting inclusivity in educational settings. Through qualitative research methods including interviews, focus groups, and document analysis, key findings emerge highlighting the potential of AI to personalize learning experiences and expand access to education, particularly in underserved communities. However, the study also identifies concerns regarding algorithmic bias, the digital divide, and ethical considerations, emphasizing the need for collaborative efforts among stakeholders to ensure the responsible and equitable deployment of AI technologies in education. The analysis of research findings contributes to a nuanced understanding of the complex dynamics surrounding AI in education and underscores the importance of advancing inclusive development agendas through the strategic integration of AI into educational practices.