Abstract Book of the 10th International Conference on Teaching, Learning and Education
Year: 2025
[PDF]
AI, IOT and DTN – A Novel Approach for an Innovative Learning Environment
Justino Lourenço, Catarina Lucas, Joana Paulo, José Carlos Morais
ABSTRACT:
A new era with new challenges in the learning environment in University context is already happening. The approach for innovating learning practices is crucial to involve the student in learning process and this way providing a faster learning curve. These article focus on the following research topics: blending of Internet-of-Things (IoT), Artificial Intelligence (AI) and Delay Tolerant Networks (DTN) to enhance the learning process and providing the means to a resilient learning environment even under severe constraints such as catastrophic scenarios or countries underdevelopment. The integration of IoT and AI in educational settings, encompassing both physical and virtual classrooms, offers a myriad of advantages that can significantly enhance the learning experience, optimize pedagogical approaches, and streamline administrative tasks. This synergistic blend creates an intelligent and adaptive learning environment that caters to individual needs and promotes deeper engagement, such as: Adaptive Learning Paths; Intelligent Tutoring Systems; Immersive and Interactive Content; Real-time Feedback and Assessment and Accessibility and Inclusivity. At last DTN will enable connectivity even under severe communication learning environments. In order to support this article a survey was conduct over one University to understand the students perception about the proposed solution. An extensive bibliography search was also conducted and a novel approach is presented to enable a much richer and robust learning environment.
Keywords: Adaptative Learning, Artificial Intelligence (AI), Delay Tolerant Networks (DTN), Internet-Of-Things (IoT), Resilient Learning Environments.