Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges

Abstract

The effect of technology has caused many institutions to intend to change their approach to teaching and learning, resulting in the current model of teaching and learning being an active collaborative and self-directed one. The connection between education and technology has received attention as part of educational policy and practice. Debatable topics like how to use technology in the classroom have therefore punctuated complaints about declining educational standards, unemployed learners, duplicate curricula, and archaic institutional structure. In the framework of information and communication technologies and societal growth, the Internet of Things (IoT) is asserting its vital position. Institutions may improve learning outcomes with the use of the Internet of Things by offering enhanced learning experiences, increasing operational effectiveness, and collecting real-time, actionable insight into student performance. The current state of the Internet of Educational Things (IoET) is examined from several educational perspectives in this article; a few of them are highlighted, and both of their established and potential educational benefits are discussed. Additionally, it provides in-depth discussions on current issues and problems for the IoET from a variety of approaches. The investigation performs a bibliometric analysis with VOSviewer to focus on peer-reviewed research articles published in well-known publications databases over the past eight (8) years. The findings of this study should also act as a strong incentive for universities and colleges around the world to use IoT-based teaching and learning technology for improved academic achievement.

Design and Assessment of an Active Learning-Based Seminar

“…The application of the Internet of Things to education opens up a whole range of new opportunities, which are generically referred to as IoET. Its deployment will lead to the improvement of learning outcomes by providing enhanced learning experiences, rising operational effectiveness, and obtaining real-time insights about students' performance [19]. Some of the applications furnished by IoET are distance learning, close monitoring, specific education, evolving methodologies and techniques, improved collaboration and productivity, monitoring the health of students, teachers, and staff, safety on the property, automatically recording attendance, or augmented reality equipped systems [20].…”

A Novel Alternating μ-Law Companding Algorithm for PAPR Reduction in OFDM Systems

“…Since the development of wireless communication systems, human needs for increased convenience and improved daily life have increased significantly from voice messages to multimedia. This has also made the Internet of Things (IoT) [1][2][3], industrial automation, and telemedicine popular research areas. Of course, they need efficient power control, massive data transmission, increasing connection numbers, high spectral efficiency demands, and other requirements.…”