The objective of this study is to analyse individual differences in quality of higher education through the pursuit of satisfaction with a focus on sustainability, whilst considering variables pertaining to groups (family, teachers and pupils) and satisfaction in a sample of 1091 Italians: 510 pupils (45.8%), 121 teachers (11.1%) and 469 relatives (42.9%). Once the quality parameters of the instrument (quality of higher education through the pursuit of satisfaction with a focus on the sustainability (QHES) questionnaire) were determined, reliability was confirmed through confirmatory factor analysis using structural equation modelling methodology, and data collection was initiated. Results from the multi-level study (ANOVA) showed significant differences between groups. From this, it can be concluded from the study that the role performed by a quality education oriented towards sustainability equally includes teachers, students and relatives. This role focuses on the battle to incorporate effective participatory methods into the teaching process, motivating members of the educational community and social future in the search for knowledge, skills, attitudes and necessary values. This will forge a sustainable future given that it does not only depend on the characteristics and experiences of individuals but also their training, both within the centre and their families. This factor is of vital importance, as demonstrated and concluded in the present study.

The aim of this study was to analyze the differences within education-related degrees with respect to participation in volunteering. Volunteering motivation promotes and encourages emotional and social well-being and a sense of belonging in university students. This study was based on a total sample of 985 students undertaking Degrees in Early Childhood Education, Primary Education, and Social Education who attended higher education institutions in Northern Africa (Spain) and Eastern Spain. Once the quality parameters of the instrument were determined, the reliability was confirmed, and data collection was initiated. In order to analyze the results, a multilevel study (ANOVA) was conducted by interacting the variables for degrees with three levels (PE = Primary Education; EC = Early Childhood Education; SE = Social Education) and the variable “volunteering is my motivation to feel better”, with five levels (strongly disagree, disagree, unsure, agree, and strongly agree). From the data obtained, it was concluded that there were significant differences between the different degree paths, the assessment covering sociodemographic variables and areas of interest showing that volunteering benefits university students both socially and in their decision-making processes.

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.

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The present study analyses the influence of family, specifically parents, on the career decisions of their children, and how gender and socioeconomic status influence this choice. Research was carried out using data obtained from a questionnaire administered to a representative sample of students who took the university entrance examination (PEvAU, its Spanish acronym) in Spanish North Africa. A quantitative research design was adopted in which multivariate analysis (MANOVA) was applied anda decision tree, which was also used for graphical and analytical analysis. The main results indicated a significant influence of parents on their children’s choices, this being the best predictor regarding the decision to take the said examination. It was also verified that their choice of Spanish Baccalaureate programme was significantly associated with their selected career path, and gender and socioeconomic status had a significant impact on that decision. These results lead to the need for further research on guidance from secondary education onwards. It would be interesting to analyse factors neglected thus far, such as those related to the cultural environment of students.