Affective evaluation of the luminous environment in university classrooms

Cabanes, Nuria Castilla; Llinares, Carmen; Bisegna, Fabio; Giménez, Vicente Blanca

doi:10.1016/j.jenvp.2018.07.010

Cited by 32 publications

(14 citation statements)

References 48 publications

(52 reference statements)

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“…12 , 13 , 14 These additional publications were cited by resp. Castilla et al, 15 Corgnati et al, 16 and De Abreu‐Harbich et al 17 and provided relevant additional information about the applied methods. In place of a study by Kooi et al, 4 , 18 the more complete publication by Mishra et al 19 on the same study was used.…”

Section: Methodsmentioning

confidence: 99%

A systematic approach to quantify the influence of indoor environmental parameters on students' perceptions, responses, and short‐term academic performance

et al. 2022

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This study explores how to measure the influence of the indoor environmental quality (IEQ) parameters on students and their academic performance. It is the primary responsibility of the school management to provide appropriate classrooms for education; which can positively influence students' academic performance, contributing to a sustainable and positive school climate. 1 As part of classrooms' environmental quality, this study focusses on four IEQ parameters: (1) indoor air quality, (2) thermal conditions, (3) acoustic

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Section: Methodsmentioning

confidence: 99%

A systematic approach to quantify the influence of indoor environmental parameters on students' perceptions, responses, and short‐term academic performance

et al. 2022

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“…Researchers have called for learning spaces that are interactive, collaborative and that allow appropriate physical movement and social engagement among teachers and students [8]. Indeed, new technologies and new teaching methods mean that very different visual tasks are now performed in classrooms, so further research is necessary to identify what is the most appropriate lighting for these new tasks [9].…”

Section: Introductionmentioning

confidence: 99%

Do Attention and Memory Tasks Require the Same Lighting? A Study in University Classrooms

2021

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Lighting plays a fundamental role in learning spaces as it influences students’ performance. Nowadays, new technologies and new teaching methods in higher education mean that very different visual tasks are performed in the classroom, so further research is necessary to identify what lighting is best suited to these new tasks. The objective of the study is to analyse the impact that variations in levels of illuminance and Correlated Colour Temperature (CCT) of classrooms have on the cognitive functions (attention and memory) of university students. The cognitive performance of 90 participants was evaluated based on attention and memory tasks. The participants had to view nine virtual classroom configurations, with three different illuminance settings (100 lx, 300 lx and 500 lx) and three CCTs (3000 K, 4000 K and 6500 K). The results showed that attention and memory tasks require different level of illumination. While attention improves with higher light levels, memory improves with lower light levels. Higher CCTs generate better performance in both attention and memory tasks. These results highlight the link between lighting and students’ cognitive responses. This study and its methodology can be useful for architects and researchers as they establish lighting design guidelines capable of improving students’ cognitive processes.

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“…The importance of proper lighting conditions (i.e., visual comfort) at academic institutions has been emphasized at all levels, from elementary, primary, and secondary education schools [1][2][3][4][5][6] to university faculties [7][8][9][10][11][12][13][14][15][16]. In general, it can be said that comfort in academic environments has been widely analyzed as it has important effects on learning.…”

Section: Introductionmentioning

confidence: 99%

“…Some of these focused mainly on energy costs and efficiency [18,20,21,23], as lighting represents about 20% of the world's demand for electrical energy production [23]. On the other hand, many analyses on visual comfort and the effects of lighting seem to be based on surveys/interviews rather than measuring the illuminance levels [5,6,11,12,15]. Even those works that reflect lighting measurements include surveys [13,16,24,25], adding subjective (and statistical) factors to the study.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Lighting Quality in Academic Institutions: The UPM Faculty of Aerospace Engineering (Spain)

et al. 2020

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This article analyzes the current status of the lighting quality at the Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio (ETSIAE), the aerospace engineering faculty at the Universidad Politécnica de Madrid (UPM), and evaluates possible improvement actions based on the use of DIALux® lighting simulation software together with measured data. The results show rather low levels of measured illuminance on classroom desks and blackboards in one of the buildings comprising the faculty. The improvements proposed (a new coat of paint on the walls and replacement of luminaires) were simulated in four individual classrooms representing all rooms in two of the ETSIAE buildings (where the lower illuminance levels were measured). In order to study these improvements, the current situation of the four selected classrooms was simulated using DIALux® and fine-tuning attenuation of the luminaires to take into account their wear and tear. The correlation between the DIALux® simulation and the test results was analyzed with quite good results. The results clearly reveal a need to fully replace the classroom lighting systems in ETSIAE building A (the oldest building, dating back to 1955). According to the results from the selected classrooms, the average lighting over the desks can be greatly improved by using LED technology in order to meet UNE 12464-1 standard (that is, 500 lx, from an initial situation with much lower illuminance values: 129 lx to 295 lx). This article represents an innovative way to perform lighting improvement projects as real measured lighting data is used as initial input for the lighting simulations.

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Affective evaluation of the luminous environment in university classrooms

Cited by 32 publications

References 48 publications

A systematic approach to quantify the influence of indoor environmental parameters on students' perceptions, responses, and short‐term academic performance

A systematic approach to quantify the influence of indoor environmental parameters on students' perceptions, responses, and short‐term academic performance

Do Attention and Memory Tasks Require the Same Lighting? A Study in University Classrooms

Measuring the Lighting Quality in Academic Institutions: The UPM Faculty of Aerospace Engineering (Spain)

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