The convergence of Artificial Intelligence (AI) and Blockchain technologies is gradually reshaping the educational landscape, offering significant advancements in teaching methods and learning experiences. This paper examines the theoretical frameworks, modelling algorithms, and empirical data to evaluate the impact of an intelligent education system (IES) on academic performance at SY Secondary School. Before the implementation of AI, students’ mathematics scores were typically distributed around the median in a traditional educational setting. Following the introduction of AI through a smart classroom VR environment, there was a notable improvement in student performance, suggesting that AI’s adaptive learning algorithms, which personalize learning content and pace, can significantly enhance academic outcomes. The observed increase in student attainment after AI intervention highlights the role of AI in optimizing learning, although the decline in some students’ grades underscores the complexity of its impact. Blockchain technology, while not directly influencing academic scores, supports these advancements by ensuring secure, transparent educational records, thereby increasing trust in the educational process and facilitating resource sharing. In conclusion, the integration of AI and blockchain holds great potential to improve student learning outcomes and operational efficiency. However, the variability in achievement growth calls for inclusive and tailored education strategies to maximize the benefits of these technologies for all students.

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Blockchain Technology and Artificial Intelligence’s Effects on the Advancement of Contemporary Educational Technologies

  • Zhensheng Liu

摘要

The convergence of Artificial Intelligence (AI) and Blockchain technologies is gradually reshaping the educational landscape, offering significant advancements in teaching methods and learning experiences. This paper examines the theoretical frameworks, modelling algorithms, and empirical data to evaluate the impact of an intelligent education system (IES) on academic performance at SY Secondary School. Before the implementation of AI, students’ mathematics scores were typically distributed around the median in a traditional educational setting. Following the introduction of AI through a smart classroom VR environment, there was a notable improvement in student performance, suggesting that AI’s adaptive learning algorithms, which personalize learning content and pace, can significantly enhance academic outcomes. The observed increase in student attainment after AI intervention highlights the role of AI in optimizing learning, although the decline in some students’ grades underscores the complexity of its impact. Blockchain technology, while not directly influencing academic scores, supports these advancements by ensuring secure, transparent educational records, thereby increasing trust in the educational process and facilitating resource sharing. In conclusion, the integration of AI and blockchain holds great potential to improve student learning outcomes and operational efficiency. However, the variability in achievement growth calls for inclusive and tailored education strategies to maximize the benefits of these technologies for all students.