Validation of the Smart City as a Sustainable Development Knowledge Tool: The Challenge of Using Technologies in Education during COVID-19 Olmos Gómez, María Del Carmen Luque Suárez, Mónica Francisca Mohamed Mohamed, Soraya Cuevas Rincón, Jesús Manuel Smart cities ICT Structural equation modeling (SEM) COVID-19 Readjustment E-learning The objective of this research was to design and validate a questionnaire for teachers on the knowledge and use of smart city concepts and their usefulness in online learning during the COVID-19 pandemic based on a sustainable approach at different educational levels. It is important to analyze the use of online education based on the construction of intelligent learning environments, which favor the interaction between the environment and the student. With a quasi-experimental methodology, the psychometric properties of the questionnaire were analyzed through structural equation modeling (SEM), and the model was adjusted through a multivariate regression analysis to relate response patterns to a set of latent factors that cannot be directly observed, but exist in continuous dimensions of the people evaluated, and to create a valid and reliable instrument as a measurement tool using a sample of n = 973 subjects. The sample distribution consisted of 22.36% primary school teachers, 59.01% high school teachers, and 18.56% university teachers. The results showed a high reliability and construct validity through two models, and adjustment of the original model produced better goodness-of-fit parameters. We conclude that the designed questionnaire is a useful and valid tool for understanding how teachers have approached online teaching during the pandemic and their knowledge and use of Smart City concepts. 2021-01-26T11:20:49Z 2021-01-26T11:20:49Z 2020 journal article Olmos-Gómez, M.d.C.; Luque-Suárez, M.; Mohamed-Mohamed, S.; Cuevas-Rincón, J.M. Validation of the Smart City as a Sustainable Development Knowledge Tool: The Challenge of Using Technologies in Education during COVID-19. Sustainability 2020, 12, 8384. https://doi.org/10.3390/su12208384 http://hdl.handle.net/10481/66011 10.3390/su12208384 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España MDPI