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.

References

    Issue

    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. https://doi.org/10.1007/978-3-031-17601-2_2 - 2022 - в издания, индексирани в Scopus и/или Web of Science
    2. Terzieva, V., Paunova-Hubenova, E., Slavcheva, S., Trends, Challenges, Opportunities, and Innovations in STEM Education, IFAC-PapersOnLine, 58(3), 106-111, 2024. https://doi.org/10.1016/j.ifacol.2024.07.134. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    3. Bustamante-Mora, Ana, Mauricio Diéguez-Rebolledo, Milagros Zegarra, Francisco Escobar, and Gabriel Epuyao. 2025. "Environmental Conditions and Their Impact on Student Concentration and Learning in University Environments: A Case Study of Education for Sustainability" Sustainability 17, no. 3: 1071. https://doi.org/10.3390/su17031071. - 2025 - в издания, индексирани в Scopus
    4. Terzieva V., Personalized Educational Maze Game – A Case Study, 2026, Lecture Notes in Networks and Systems, issue 0, vol. 1799 LNNS, pp. 246-258, DOI 10.1007/978-3-032-15743-0_21, issn 23673370, eissn 23673389 - 2026 - в издания, индексирани в Scopus
    5. Terzieva V., Paunova-Hubenova E., Bontchev B., Personalization of Learning Resources for STEM Education, 2026, Lecture Notes in Networks and Systems, issue 0, vol. 1799 LNNS, pp. 222-233, DOI 10.1007/978-3-032-15743-0_19, issn 23673370, eissn 23673389 - 2026 - в издания, индексирани в Scopus

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