Industry 4.0 and Society 5.0 are reshaping the way organizations function and interact with the communities they serve. The massive penetration of computer and network applications forces organizations to digitalize their processes and provide innovative products, services, and business models. The education market is suffering changes as well, but universities seem slow to react. This paper proposes the application of an integrated digital transformation model to assess the maturity level that educational institutions have in their digital transformation processes and compares them to other industries. Particular considerations to address when using the model for higher-education institutions are discussed. Our results show that universities fall behind other sectors, probably due to a lack of effective leadership and changes in culture. This is complemented negatively by an insufficient degree of innovation and financial support.

The United Nations (UN) identifies four key elements as agents for change and for addressing societal challenges: education, research, innovation and leadership. The use of technology, from a pedagogical and organizational point of view, in higher education institutions has brought about new challenges. The integration of them in the teaching–learning processes has experienced a great evolution, giving way to a digital transformation and the acquisition of new skills and knowledge, thus pointing towards quality education within the framework of sustainable development objectives. This document aims to describe and analyze the ways in which seven higher education institutions, three in Spain and four in Mexico, have taken up the challenge of adopting technologies and applying them to the educational process. To this end, in-depth interviews and direct observations were carried out. The results point to three dimensions: technological, pedagogical and organizational, which shed light on the different factors that influence the choice and availability of the use of technologies. The results indicate that contextual factors play a determinant role in the ability of an institution to profit from technologies to aid the educational process and guarantee its quality.

The use of technology, which is linked to active learning strategies, can contribute to better outcomes in Mathematics education. We analyse the conditions that are necessary for achieving an effective learning of Mathematics, aided by a robotic platform. Within this framework, the question raised was “What are the conditions that promote effective active math learning with robotic support?” Interventions at different educational scenarios were carried in order to explore three educational levels: elementary, secondary, and high school. Qualitative and quantitative analyses were performed, comparing the control and treatment groups for all scenarios through examinations, direct observations, and testimonials. The findings point to three key conditions: level, motivation, and teacher training. The obtained results show a very favourable impact on the attention and motivation of the students, and they allow for establishing the conditions that need to be met for an effective relationship between the teacher and the technological tool, so that better learning outcomes in Mathematics are more likely to be obtained.

Purpose-The purpose of this paper is to identify the intention of living in a smart city as from its characteristics in the individual perception by the young public based on the proposal of an expanded model. Design/methodology/approach-The empirical research carried out herein was based on a survey, consisting of a sample of 380 valid questionnaires. Data analysis was carried out through multivariate quantitative approach using structural equation modeling, with estimation by partial least square. Findings-In the model, it was possible to adapt all the characteristics of smart cities. The "environment" characteristic was the one that presented the greatest relationship in contributing to efficiencies that allow the migration of citizens and in reducing the environmental impact in the cities' quality, and the "economy" characteristic was the one that presented the lowest relationship opening the opportunity that this concept can be more widespread within the economic agents and individuals for the society. Originality/value-Finally, it is argued that efficiency in all characteristics will depend on the engagement of citizens in the innovation processes of public living in general. The smart city is distinguished from other typologies due to its success in the field of innovation, essentially depending on the collaborative process that is developed in environments that encourage discovery and idea generation.

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