Gamification and the Internet of Things in Education

Pappas, Georgios; Siegel, Joshua E.; Vogiatzakis, Ioannis Ν.; Politopoulos, Konstantinos

doi:10.1007/978-3-031-04662-9_15

Cited by 10 publications

(8 citation statements)

References 31 publications

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“…Quite a number of areas have been revolutionized because of the application of IoT in those areas. One of those areas is higher education, in which improved learning, experimentation, and management is being recorded due to the use of IoT [14,15]. In the study carried out in [16], the challenges of educational system as well as the possible ways of addressing them through the use of IoT technology and were investigated the author examines educational system difficulties and how to fix them using Network infrastructure and IoT technology.…”

Section: Fig 2 Internet Of Things Enabled Teachingmentioning

confidence: 99%

Enhancement of Online Education in Engineering College Based on Mobile Wireless Communication Networks and IOT

Kadhim

Aljazaery

Alrikabi

2023

Int. J. Emerg. Technol. Learn.

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The field of Engineering is that which needs a high level of analytical thinking, intuitive knowledge, and technical know-how. The area of communication engineering deals with different components including, wireless mobile services, radio, broadband, web and satellites. There is a rapid decline in the quality of students produced by engineering faculties as a result of sufficient and quality methods and frameworks of student assessment. The production of high-potential engineers is limited by the utilization of old and traditional education methodology and frameworks. The student presentation estimation system in engineering institution is a motionless manual. Usually, the assessment of student’s performance using the traditional system is limited to the use of students’ performance scores, while failing to evaluate their performance based on activities or practical applications. In addition, such systems do not take cognizance of individual knowledge of students that connects to different activities within the learning environment. Recently, engineering institutions have started paying attention to evaluation solutions that are based on wireless networks and Internet of Things (IoT). Therefore, in this study, an automated system has been proposed for the assessment of engineering students. The proposed system is designed based on IoT and wireless communication networks with the aim of improving the process of virtual education. The data used in this study has been collected through the use of different IoT sensors within the premises of the college, and pre-processed using normalization. After the data was pre-processed, it was stored in cloud. In order to enable the classification of student’s activity, an Adaptive Layered Bayesian Belief Network (AL-BBN) classifier is proposed in this work. The student’s scores have been calculated using fuzzy logic, while Multi-Gradient Boosting Decision Tree (MGBDT) was proposed for decision making. The use of python simulation tool is employed in the implementation of the proposed system, and the evaluation of the performance benchmarks was done as well. Based on the findings of the study, the proposed conceptual model outperformed the existing ones in terms of improving the process of online learning.

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Section: Fig 2 Internet Of Things Enabled Teachingmentioning

confidence: 99%

Enhancement of Online Education in Engineering College Based on Mobile Wireless Communication Networks and IOT

Kadhim

Aljazaery

Alrikabi

2023

Int. J. Emerg. Technol. Learn.

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“…Introducing the IoT in education brings previously unfeasible approaches and solutions through gamification [ 38 ]. The authors [ 38 ] identified opportunities to develop innovative virtual labs and interactive student experiences. The IoT offers a near real-time visualization of the real world.…”

Section: Iot In Educationmentioning

confidence: 99%

Design and Implementation of ESP32-Based IoT Devices

Hercog

Lerher

Truntič

et al. 2023

Sensors

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The Internet of Things (IoT) has become a transformative technology with great potential in various sectors, including home automation, industrial control, environmental monitoring, agriculture, wearables, health monitoring, and others. The growing presence of IoT devices stimulates schools and academic institutions to integrate IoT into the educational process, since IoT skills are in demand in the labor market. This paper presents educational IoT tools and technologies that simplify the design, implementation, and testing of IoT applications. The article presents the introductory IoT course that students perform initially and then presents some of the projects that they develop and implement on their own later in the project.

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“…Moreover, we intend to have additional intersections and (probably) more levels in order for users to have more tasks; they would also not have to repeat tests the same environment. Regarding the AI pedestrian models, we will add more or customize existing ones in order to make the tool even more diverse [68], e.g., by incorporating real-world data from Internet of Things sensing systems [69]. We are releasing a free executable of the tool (Appendix A.2) and plan to deploy a web-only version to expand our audience reach.…”

Section: Future Workmentioning

confidence: 99%

Game-Based Simulation and Study of Pedestrian-Automated Vehicle Interactions

et al. 2022

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We identify the need for enhanced pedestrian–vehicle simulation tools and build such a tool to explore the interaction among pedestrian “players” and virtual human- and automated-vehicles for different scenarios taking place in an urban environment. We first present contemporary research tools and then propose the design and development of a new desktop application that facilitates pedestrian-point-of-view research. We then conduct a three-step user experience experiment, in which a small number of participants answer questions before and after using the application to interact with virtual human and automated vehicles in diverse road-crossing scenarios. Behavioral results observed in virtuality, especially when motivated by consequence, tend to simulate real life sufficiently well to inform design choices. From the simulation, we observed valuable insights into human–vehicle interactions. Upon completing this preliminary testing, we iterated the tool’s design and ultimately conducted an 89-participant study of human–vehicle interactions for three scenarios taking place in a virtual environment. Our tool raised participant awareness of autonomous vehicles and their capabilities and limitations, which is an important step in overcoming public distrust of AVs. We additionally saw that participants trust humans and technology less as drivers than in other contexts, and that pedestrians feel safer around vehicles with autonomy indicators. Further, we note that study participants increasingly feel safe with automated vehicles with increased exposure. These preliminary results, as well as the efficacy of the tool’s design, may inform future socio-technical design for automated vehicles and their human interactions.

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Gamification and the Internet of Things in Education

Cited by 10 publications

References 31 publications

Enhancement of Online Education in Engineering College Based on Mobile Wireless Communication Networks and IOT

Enhancement of Online Education in Engineering College Based on Mobile Wireless Communication Networks and IOT

Design and Implementation of ESP32-Based IoT Devices

Game-Based Simulation and Study of Pedestrian-Automated Vehicle Interactions

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