Skip to main content

Use of smart monitoring and users’ feedback for to investigate the impact of the indoor environment on learning efficiency


This paper presents an analysis of the impact of the indoor classroom environment on students’ learning efficiency. The research is based on a classroom smart monitoring and a questionnaire about the students’ assessment of the comfort conditions and learning efficiency. Multisensor devices are used to measure the indoor temperature, relative humidity, and CO2 concentration at the students’ desks. Data analysis concerned an investigation of the spatial and temporal variation of the comfort parameters and their correlation with students’ assessment of comfort conditions and learning efficiency. The results show a significant spatial variation in the indoor comfort conditions, particularly for temperature and CO2 concentration. The indoor temperature could exceed by up to 5 °C, the temperature threshold limits value in France’s public buildings. At the beginning of the class, the learning efficiency correlates well with the students’ assessment of comfort conditions. At the end of the class, the results show a weak correlation with both recorded comfort parameters and the students’ assessment of the indoor conditions. The results indicate a decrease in learning efficiency during the class. However, students do not mainly attribute this decrease to the degradation in indoor conditions.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13


  1. Bajc T, Banjac M, Todorovic M, Stevanovic Z (2019) Experimental and statistical survey on local thermal comfort impact on working productivity loss in university classrooms. Therm Sci 23:379–392.

    Article  Google Scholar 

  2. Belaïd F, Joumni H (2020) Behavioral attitudes towards energy saving: empirical evidence from France. Energy Policy 140(2020):111406.

    Article  Google Scholar 

  3. Belaïda F, Roubaudb D, Galariotisc E (2019) Features of residential energy consumption: evidence from France using an innovative multilevel modeling approach. Energy Policy 125:277–285.

    Article  Google Scholar 

  4. Bluyssen PM, Zhang D, Kurvers S, Overtoom M, Ortiz-Sanchez M (2018) Self-reported health and comfort of school children in 54 classrooms of 21 Dutch school buildings. Build Environ 138:106–123.

    Article  Google Scholar 

  5. Cui W, Cao G, Park JH, Ouyang Q, Zhu Y (2013) Influence of indoor air temperature on human thermal comfort, motivation, and performance. Build Environ 68:114–122.

    Article  Google Scholar 

  6. Curi TMRD, Conti D, Vercellino RD, Massari JM, De Moura DJ, De Souza ZM, Montanari R (2017) Positioning of sensors for control of ventilation systems in broiler houses: a case study. Sci Agric 74(2):101–109.

    Article  Google Scholar 

  7. Givoni B (1969) Man, climate and architecture. Editor Elsevier Science Ltd, Amsterdam (ISBN-10: 0444200398)

    Google Scholar 

  8. Haddad S, Synnefa A, Ångel Padilla Marcos M, Paolini R, Delrue S, Prasad D, Santamouris M (2021) On the potential of demand-controlled ventilation system to enhance indoor air quality and thermal condition in Australian school classrooms. Energy Build 238:110838.

    Article  Google Scholar 

  9. Pistore L, Pittana I, Cappelletti F, Romagnoni P, Gasparella A (2020) Analysis of subjective responses for the evaluation of the indoor environmental quality of an educational building. Sci Technol Built Environ 26:195–209.

    Article  Google Scholar 

  10. Ricciardi P, Buratti C (2018) Environmental quality of university classrooms: subjective and objective evaluation of the thermal, acoustic, and lighting comfort conditions. Build Environ 127:23–36.

    Article  Google Scholar 

  11. Tariku F, Ying Simpson W (2014) Temperature and humidity distributions in a mid-rise residential building suite. In: 14th Canadian conference on building science and technology, 2014, pp 419–428.

  12. Yildiz Y, Kocyigit M (2019) Evaluation of indoor environmental conditions in university classrooms. Proc Inst Civ Eng Energy 172:148–161.

    Article  Google Scholar 

  13. Zhong L, Yuan J, Fleck B (2019) Indoor environmental quality evaluation of lecture classrooms in an institutional building in a cold climate. Sustainability 11:6591.

    Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Isam Shahrour.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Verify currency and authenticity via CrossMark

Cite this article

Lagsaiar, L., Shahrour, I., Aljer, A. et al. Use of smart monitoring and users’ feedback for to investigate the impact of the indoor environment on learning efficiency. Environ Econ Policy Stud (2021).

Download citation


  • Smart monitoring
  • Comfort
  • Energy
  • Behavior
  • Social
  • Learning efficiency
  • Assessment