Autors: Ivanova, M. S., Boneva A., Ilchev S.
Title: Learning Performance Facilitation in a Sensor-Based Intelligent Classroom
Keywords: Wireless Sensor Networks; Sensor nodes; Big Data; IoT; Learn

Abstract: The paper presents an analysis of the recently published scientific papers about the application of wireless sensor networks and wearable sensors for the organization of intelligent educational environments, which is a predisposing feature for the learning performance improvement of the students. A conceptual model of a sensor-based intelligent classroom is proposed that consists of a sensor set for monitoring some physiological parameters of students and for controlling the classroom conditions. The sensor changes are used as indicators for proposing learning objects with a suitable level of complexity. A prototype wireless sensor network based on LoRa, which relies on a custom private data communication protocol, is designed, implemented and tested. We also describe briefly the practical design and implementation of two types of nodes (communication and sensor nodes) used within the network for sensor data gathering, filtering and transmission.



    7th IEEE International Conference “Big Data, Knowledge and Control Systems Engineering” (BdKCSE’2021), pp. 1-8, 2021, Bulgaria, IEEE, DOI 10.1109/BdKCSE53180.2021.9627308

    Copyright IEEE

    Цитирания (Citation/s):
    1. Terzieva, V., Ivanova, T., Todorova, K. (2023). Personalized Learning in an Intelligent Educational System. In: Krouska, A., Troussas, C., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022). NiDS 2022. Lecture Notes in Networks and Systems, vol 556. Springer, Cham. - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus