IoT in Education: Implementation Scenarios through the Lens of Data Privacy Law

Abstract

The Internet of Things (IoT) is today one of the most rapidly developing digital technologies and has managed to establish a solid presence in the academic realm. This article highlights the promising implications of IoT in Education including efficient school management, real-time data collection and analysis, resource management and global interconnectedness. Implementation scenarios are many and incorporate billions of devices that collect huge amounts of data that can be exploited for a wide range of educational purposes. In the post Covid19 era, the IoT as the so-called 3rd revolution of Information technology appeared to be able to support distance learning as well as to protect students in terms of virus spreading, guaranteeing a safe learning environment in their coming back to the classrooms. At the same time, all implementations scenarios raise concerns related to data privacy rights and data security. This article highlights the need for a legal context that protects privacy as well as fundamental rights and freedoms. Since the Internet of Things encompasses new technologies, such as Artificial Intelligence and Blockchain, the study of its regulatory framework is of primary interest. In addition, serious legal and ethical concerns arise which demand a relative critical approach. Therefore, it is pursued the proposal of fruitful guidelines which would lead to a powerful, productive and human-centric educational environment.

Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education

“…Adapt teaching methods to cater to diverse learning styles influenced by AI and technology, including interactive and multimodal learning approaches. AI assistants and platforms can help teachers quickly adapt to new formats (Fui-Hoon Nah et al, 2023;Ivanov, 2023;Rane, 2023;Taylor & Boyer, 2020) Data Privacy Concerns In the digital world, data is constantly gathered and AI models are trained on them Educate students about data privacy, including how their data is used by AI systems and ways to protect their digital footprint (Attai, 2019;Kouroupis & Vagianos, 2023;Serholt et al, 2017) Page 22 of 29 Walter Int J Educ Technol High Educ (2024) 21:15 approach involves computer science, ethics, and critical thinking. Rapid AI advancements risk leaving educators behind, potentially leading to classroom management issues if students surpass teacher knowledge.…”

Regulatory Data Privacy Concerns in Proliferating IoT Era of Telecommunication Data Monetization: A Systematic Literature Review

“…Artificial intelligence elements are being incorporated into analytics models and algorithms to make the most of the data gathered through IoT devices. This has led to increased interest in research across industries such as healthcare [7], [25], education [26], and telecommunications. While this trend has the potential to generate significant economic benefits from data value, it also creates regulatory challenges for data privacy, such as:…”