A Development of a Lighting Control System Based on Context-Awareness for the Improvement of Learning Efficiency in Classroom

Lee, Hwa-Soo; Kwon, Sook-Youn; Lim, Jae-Hyun

doi:10.1007/s11277-015-2811-6

Cited by 15 publications

(12 citation statements)

References 4 publications

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“…Moreover, higher noise levels impeded the development of interaction and collaborative learning [67]. However, students' learning and concentration are also affected by lighting [68,69], and specifically natural light in classrooms was associated with both better health and better performance [70]. Finally, further factors showing a positive effect on short-term concentration and performance (e.g., logical thinking) are thermal comfort and ventilation [42,43].…”

Section: Discussionmentioning

confidence: 99%

The Effect of School Design on Users’ Responses: A Systematic Review (2008–2017)

et al. 2020

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This systematic review focused on the effect of the educational environment design on students’ and teachers’ performance, satisfaction, and wellbeing. Starting from a bulk of 1307 articles, a set of N = 68 empirical papers was selected and organized on the basis of four different content clusters, i.e., architectural building design and aesthetic features, indoor environmental features, classroom design, and school green spaces/outdoor spaces. From the analysis of research findings, the key role of pleasant, warm, and flexible learning environments emerged, for promoting both wellbeing and performance of users. More specifically, the presence of charming colors and pictures, ergonomic furniture, and adequate acoustic, thermal comfort, ventilation, and natural lighting have emerged as important features that school designers should care for. Furthermore, an integration of both indoor and outdoor learning situations showed to be effective for improving students’ learning and wellbeing.

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Section: Discussionmentioning

confidence: 99%

The Effect of School Design on Users’ Responses: A Systematic Review (2008–2017)

et al. 2020

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“…Evidence indicated that a well-designed mobile application can not only improve user experience, but also guarantee the compliance of illumination regulations and reduce energy consumption [36]. In other studies, both illuminance and CCT were considered for improving users' visual comfort and wellbeing by adapting lighting environment to users' activity [26,32].…”

Section: Related Workmentioning

confidence: 99%

“…It is noteworthy that more and more learning-context based lighting control systems have been recently proposed for classrooms [18]. These proposed systems followed existing psychological research findings by applying lower brightness and CCT for subjects like arts and language, and higher brightness and CCT for subjects like science and mathematics [31][32][33]. As summarized in Table 2, these systems provided illumination settings and control methods for a few basic learning scenarios.…”

Section: Related Workmentioning

confidence: 99%

Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom

Sun

Zhang²,

Cao

2020

IJERPH

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Illumination is one of the most important environmental factors in the classroom. Researchers have discovered that lighting settings have significant impact on students’ performance. Although light-emitting diode (LED) lighting systems can precisely control brightness level and correlated color temperature (CCT), existing designs of LED lighting control systems for classrooms are focused on energy-saving but lack context-based illumination control ability. In this study, a smart lighting system with continuous evolution capability was developed. It can adjust brightness, CCT, and illuminance distribution dynamically according to specific learning context. This system allows not only manual control, but also automatic switching of scenes by integrating with school schedules. Based on existing knowledge about lighting preference, 10 lighting modes confined in the comfortable zone of Kruithof curve were proposed for various classroom scenarios. Moreover, a classroom environmental data-processing framework for collecting and analyzing learning context, illumination settings, environmental data, and students’ performance data was introduced. This framework can help researchers explore the correlation between student performance and environmental parameters.

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“…Park et al put forward a novel model-based PID gain design method to improve the performances of dynamic bending light (DBL) module that change horizontal angle [4]. Some researchers have studied outdoor lighting systems [5,6], while others have studied indoors such as classrooms and homes [7][8][9][10]. Wireless control technology was added to the lighting system, but they still need people to participate in and control and have not achieved an energy-saving effect.…”

Section: Introductionmentioning

confidence: 99%

Station green lighting system based on sensor network

Wang

Qin

2019

J Wireless Com Network

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Aiming at the problems of high energy consumption, chaotic lines, and inconsistent lighting sources in many stations, this paper presents a simple, reliable, and convenient station green lighting system based on sensor network. According to the arrival and departure time of the train, the lighting equipment of the corresponding track is automatically closed, which saves the power resources and human resources, and improves the service life of the lighting equipment. In addition, an intelligent illumination control method based on BP neural network is proposed. The test is carried out in the real environment of the station. The designed system can intelligently adjust the working conditions of the lighting system, save energy to the greatest extent and meet the practical requirements.

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A Development of a Lighting Control System Based on Context-Awareness for the Improvement of Learning Efficiency in Classroom

Cited by 15 publications

References 4 publications

The Effect of School Design on Users’ Responses: A Systematic Review (2008–2017)

The Effect of School Design on Users’ Responses: A Systematic Review (2008–2017)

Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom

Station green lighting system based on sensor network

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