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The Acoustic Environment and University Students’ Satisfaction with the Online Education Method during the COVID-19 Lockdown

Author

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  • Virginia Puyana-Romero

    (Department of Sound and Acoustic Engineering, Universidad de Las Américas, Quito EC170125, Ecuador
    Laboratory of Acoustic Engineering, Universidad de Cádiz, 11510 Puerto Real, Spain)

  • Angela María Díaz-Márquez

    (Place, Environment and Society Research Group, Universidad de Las Américas, Quito EC170125, Ecuador)

  • Giuseppe Ciaburro

    (Department of Architecture and Industrial Design, Università degli Studi della Campania Luigi Vanvitelli, Borgo San Lorenzo, 81031 Aversa, Italy)

  • Ricardo Hernández-Molina

    (Laboratory of Acoustic Engineering, Universidad de Cádiz, 11510 Puerto Real, Spain)

Abstract

The acoustic environment has been pointed out as a possible distractor during student activities in the online academic modality; however, it has not been specifically studied, nor has it been studied in relation to parameters frequently used in academic-quality evaluations. The objective of this study is to characterize the acoustic environment and relate it to students’ satisfaction with the online learning modality. For that, three artificial neural networks were calculated, using as target variables the students’ satisfaction and the noise interference with autonomous and synchronous activities, using acoustic variables as predictors. The data were obtained during the COVID-19 lockdown, through an online survey addressed to the students of the Universidad de Las Américas (Quito, Ecuador). Results show that the noise interference with comprehensive reading or with making exams and that the frequency of noises, which made the students lose track of the lesson, were relevant factors for students’ satisfaction. The perceived loudness also had a remarkable influence on engaging in autonomous and synchronous activities. The performance of the models on students’ satisfaction and on the noise interference with autonomous and synchronous activities was satisfactory given that it was built only with acoustic variables, with correlation coefficients of 0.567, 0.853, and 0.865, respectively.

Suggested Citation

  • Virginia Puyana-Romero & Angela María Díaz-Márquez & Giuseppe Ciaburro & Ricardo Hernández-Molina, 2022. "The Acoustic Environment and University Students’ Satisfaction with the Online Education Method during the COVID-19 Lockdown," IJERPH, MDPI, vol. 20(1), pages 1-27, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:709-:d:1020755
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    References listed on IDEAS

    as
    1. Kursa, Miron B. & Rudnicki, Witold R., 2010. "Feature Selection with the Boruta Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i11).
    2. Virginia Puyana-Romero & Luigi Maffei & Giovanni Brambilla & Daniel Nuñez-Solano, 2021. "Sound Water Masking to Match a Waterfront Soundscape with the Users’ Expectations: The Case Study of the Seafront in Naples, Italy," Sustainability, MDPI, vol. 13(1), pages 1-19, January.
    3. Virginia Puyana-Romero & Jose Luis Cueto & Giuseppe Ciaburro & Luis Bravo-Moncayo & Ricardo Hernandez-Molina, 2022. "Community Response to Noise from Hot-Spots at a Major Road in Quito (Ecuador) and Its Application for Identification and Ranking These Areas," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

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