1
Varna Free university, Bulgaria
(issa.kamar@vfu.bg)
2
Arts, Sciences and Technology University in Lebanon, Lebanon
(ms.hadifares@gmail.com)
Abstract :
As tools for developing, distributing, tracking, and managing a variety of training and educational materials online, Learning Management Systems (LMS) have become increasingly popular as tools for developing, distributing, tracking, and managing a variety of types of training and educational materials online. The evolution of Learning Management Systems (LMSs) has been dramatic since they were introduced in the 1990s. They have emerged as powerful applications for managing curricula, providing rich content courseware, assessing and evaluating student performance, and facilitating dynamic collaboration between educators and students. We can expect many changes in the structure, the functionalities, and the implementation of the learning management system in the near future as a result of a number of research fields exploring various technologies related to the learning management system. Our daily lives will be impacted by a wide variety of aspects as a result of the Internet of Things (IoT), as we move forward. There are several components to a learning management system that can be enhanced with the use of IoT capabilities that are discussed throughout this paper. In addition to its impact on many aspects of the learning management system, the Internet of Things will also bring to the learning management system a number of enhancements and changes that are expected to enhance the functionality of the system. An IoT-enhanced learning management system is one of the outcomes of a three-year research project that Arts, Science, and Technology University (AUL) is conducting as part of its Distance Learning program. It is intended to provide a brief overview of the project and the implementation plan for each component along with a description of the anticipated effects and the benefits that are anticipated to be derived from it. Locating objects in images and videos is one of the most fundamental and challenging tasks. Object classification, counting of objects, and object monitoring have received much attention in recent years. An in-depth literature review focusing on object detection is presented here.
Keywords :
Learning Management System; Internet of Things; future education; dynamic learning; remote experiments; and virtual reality
References :
[1] Veluvali, Parimala, and Jayesh Surisetti. "Learning management system for greater learner engagement in higher education—A review." Higher Education for the Future 9.1 (2022): 107-121.
[2] Ibrahim, Samar, and Khaled Shaalan. "A Systematic Review of Knowledge Management Integration in Higher Educational Institution with an Emphasis on a Blended Learning Environment." International Conference on Information Systems and Intelligent Applications. Cham: Springer International Publishing, 2022.
[3] Yalagi, Pratibha S., Rashmi K. Dixit, and Manisha A. Nirgude. "Effective use of online teaching-learning platform and MOOC for virtual learning." Journal of Physics: Conference Series. Vol. 1854. No. 1. IOP Publishing, 2021.
[4] Mpungose, Cedric Bheki, and Simon Bheki Khoza. "Postgraduate students’ experiences on the use of Moodle and Canvas learning management system." Technology, Knowledge and Learning 27.1 (2022): 1-16.
[5] Hassan, Rosilah, et al. "Internet of Things and its applications: A comprehensive survey." Symmetry 12.10 (2020): 1674.
[6] Mershad, Khaleel, and Pilar Wakim. "A learning management system enhanced with internet of things applications." Journal of Education and Learning 7.3 (2018): 23-40.
[7] P. Berking and S. Gallagher, “Choosing a learning management system,” Adv. Distrib. Learn. ADL Co-Lab., 2011.
[8] Fortino, Giancarlo, et al. "Trust and reputation in the internet of things: State-of-the-art and research challenges." IEEE Access 8 (2020): 60117-60125.
[9] Postolache, Octavian, et al. "Remote monitoring of physical rehabilitation of stroke patients using IoT and virtual reality." IEEE Journal on Selected Areas in Communications 39.2 (2020): 562-573..
[10] Ilieva, Galina, and Tania Yankova. "IoT in distance learning during the COVID-19 pandemic." TEM Journal 9.4 (2020): 1669-1674.
[11] Tan, Liansheng, and Mou Wu. "Data reduction in wireless sensor networks: A hierarchical LMS prediction approach." IEEE Sensors Journal 16.6 (2015): 1708-1715.
[12] Kumar, Kailash, and Abdulaziz Al-Besher. "IoT enabled e-learning system for higher education." Measurement: Sensors 24 (2022): 100480.
[13] Tajoddin, Nastaran N., and Lars Konermann. "Analysis of temperature-dependent H/D exchange mass spectrometry experiments." Analytical chemistry 92.14 (2020): 10058-10067.
[14] Neethirajan, Suresh. "The role of sensors, big data and machine learning in modern animal farming." Sensing and Bio-Sensing Research 29 (2020): 100367.
| Style | # |
|---|---|
| MLA | Issa kamar, Hadi Fares. "Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality." Journal of Intelligent Systems and Internet of Things, Vol. 10, No. 1, 2023 ,PP. 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |
| APA | Issa kamar, Hadi Fares. (2023). Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality. Journal of Journal of Intelligent Systems and Internet of Things, 10 ( 1 ), 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |
| Chicago | Issa kamar, Hadi Fares. "Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality." Journal of Journal of Intelligent Systems and Internet of Things, 10 no. 1 (2023): 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |
| Harvard | Issa kamar, Hadi Fares. (2023). Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality. Journal of Journal of Intelligent Systems and Internet of Things, 10 ( 1 ), 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |
| Vancouver | Issa kamar, Hadi Fares. Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 10 ( 1 ): 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |
| IEEE | Issa kamar, Hadi Fares, Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 10 , No. 1 , (2023) : 08-20 (Doi : https://doi.org/10.54216/JISIoT.100101) |