Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners

Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners

Accepted: 21 May 2024 / Published online: 4 June 2024 | Dirk Ifenthaler, Rwitajit Majumdar, Pierre Gorissen, Miriam Judge, Shitanshu Mishra, Juliana Raffaghelli, Atsushi Shimada
The paper "Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners" explores the impact of artificial intelligence (AI) on education from both research and practical perspectives. The authors conducted a Delphi study involving 33 international professionals to identify key trends and challenges in AI's application in education. The results highlight three most impactful trends: privacy and ethical use of AI, trustworthy algorithms, and equity and fairness. These trends are also among the key challenges, emphasizing the need for responsible and transparent AI deployment. The paper outlines policy recommendations and suggests a research agenda to address identified gaps. It underscores the importance of 'humans in the loop' and the need for collaboration between humans and AI to enhance educational outcomes. The study's findings provide valuable insights for policymakers, researchers, and practitioners to navigate the ethical, technical, and social implications of AI in education effectively.The paper "Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners" explores the impact of artificial intelligence (AI) on education from both research and practical perspectives. The authors conducted a Delphi study involving 33 international professionals to identify key trends and challenges in AI's application in education. The results highlight three most impactful trends: privacy and ethical use of AI, trustworthy algorithms, and equity and fairness. These trends are also among the key challenges, emphasizing the need for responsible and transparent AI deployment. The paper outlines policy recommendations and suggests a research agenda to address identified gaps. It underscores the importance of 'humans in the loop' and the need for collaboration between humans and AI to enhance educational outcomes. The study's findings provide valuable insights for policymakers, researchers, and practitioners to navigate the ethical, technical, and social implications of AI in education effectively.
Reach us at info@study.space