The emergence of artificial intelligence (AI) has catalyzed transformative changes across various domains, notably in education, where it has introduced innovative approaches to Education Planning (EP). This paper explores the rapidly expanding domain of Artificial Intelligence in Education (AIEd), focusing particularly on Intelligent Social Experiments (ISE) as an innovative method to investigate the societal effects of embedding AI into educational planning processes. Utilizing advancements in computational and information processing technologies, ISE aims to establish an exhaustive framework for assessing the complex influence of AI on global educational systems. This research highlights the critical importance of incorporating AI into education planning, accentuating how intelligent social experiments can improve educational results and tackle social issues. Through detailed case study analysis from various international contexts, this paper illustrates the application of AI-driven ISEs in educational planning, pinpointing both the innovative breakthroughs and the obstacles faced. Additionally, it probes into the cutting-edge technologies in AI poised to reshape future educational planning methodologies. The outcomes emphasize AI's essential role in driving educational innovation and address the ethical and logistical hurdles in deploying AIEd initiatives. This study significantly contributes to scholarly discussions, offering a fundamental insight into AI and ISE's capacity to revolutionize educational planning, and it suggests ways to harness AI for fostering fair and efficient educational opportunities globally.

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Artificial Intelligence and Educational Planning: Enhancing Strategies Through Intelligent Social Experiment

  • Mohamed Oubibi,
  • Antony Fute,
  • Katsiaryna Hryshayeva,
  • Ayoub Oubibi

摘要

The emergence of artificial intelligence (AI) has catalyzed transformative changes across various domains, notably in education, where it has introduced innovative approaches to Education Planning (EP). This paper explores the rapidly expanding domain of Artificial Intelligence in Education (AIEd), focusing particularly on Intelligent Social Experiments (ISE) as an innovative method to investigate the societal effects of embedding AI into educational planning processes. Utilizing advancements in computational and information processing technologies, ISE aims to establish an exhaustive framework for assessing the complex influence of AI on global educational systems. This research highlights the critical importance of incorporating AI into education planning, accentuating how intelligent social experiments can improve educational results and tackle social issues. Through detailed case study analysis from various international contexts, this paper illustrates the application of AI-driven ISEs in educational planning, pinpointing both the innovative breakthroughs and the obstacles faced. Additionally, it probes into the cutting-edge technologies in AI poised to reshape future educational planning methodologies. The outcomes emphasize AI's essential role in driving educational innovation and address the ethical and logistical hurdles in deploying AIEd initiatives. This study significantly contributes to scholarly discussions, offering a fundamental insight into AI and ISE's capacity to revolutionize educational planning, and it suggests ways to harness AI for fostering fair and efficient educational opportunities globally.