There is some consensus among researchers that the first urban civilization labeled a ‘city’ was Sumer in the period 3,500–3,000 BC. The meaning of the word, however, has evolved with the advancement of technology. Adjectives such as digital, intelligent, and smart have been prefixed to ‘city’, to reflect the evolution. In this study, we pose the question: What makes a ‘Smart City’, as opposed to a traditional one? We review and synthesize multiple scientific studies and definitions, and present a unified definition of Smart City—a complex concept. We present the definition as an ontology which encapsulates the combinatorial complexity of the concept. It systematically and systemically synthesizes, and looks beyond, the various paths by which theory and practice contribute to the development and understanding of a smart city. The definition can be used to articulate the components of a Smart City using structured natural English. It serves as a multi-disciplinary lens to study the topic drawing upon concepts from Urban Design, Information Technology, Public Policy, and the Social Sciences. It can be used to systematically map the state-of-the-research and the state-of-the-practice on Smart Cities, discover the gaps in each and between the two, and formulate a strategy to bridge the gaps.

Medicine is a discipline based on and nurtured by scientific research and technological development. The use of health services supported by information technology is increasing worldwide, and Latin America is no exception. Factors such as needing more specialists in peripheral cities, large geographic areas, and socio-cultural aspects limit the possibility of receiving timely and quality medical care services. Information Technology (IT) for health purposes, such as e-health, is a cost-effective solution for equitable access to quality healthcare services and optimization of the rising associated costs. As an e-health service, telemedicine facilitates and mediates distance communication between the patient and medical staff. Even though Latin America is at the beginning of the development of telemedicine, it would have a relevant impact, given the geographic and socioeconomic conditions of the population in this part of the world. Drawing on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) theory, we developed a theoretical model to identify the latent factors influencing the public acceptance of telemedicine and examined their interrelationships. A survey questionnaire was designed and administered to 391 residents in Antofagasta, a mine region of Chile. After that, structural equation modeling was employed to analyze the survey data. The results reveal that the UTAUT2 factors' performance expectancy, social influence, and price value significantly impact the intention to use ($R^2$ = 0.693). Additionally, the model presented a good fit. This study enriches the existing theoretical research on the acceptance of telemedicine services and offers insights into understanding and managing technology in the Chilean health sector.

Developing programming competencies is essential for systems, information science, computer science, and electrical engineering students. Engineering students usually face the complexity of working with programming languages that demand compliance with syntactic and semantic rules, which typically represent a daunting task for novice students. Watching textual messages on the screen only, like the classic “hello world” is no longer attractive in the current information society, a missing motivation and possible obstacle to developing programming competencies. Students would like to interact with hardware and appreciate environmental reactions. Arduino board permits developing solutions like that. This article presents the academic experience of first-year students of Ingeniería de Sistemas e Informática at the Universidad Continental (ISI-UC) of Huancayo, Perú, using the Arduino microcontroller board for the teaching-learning process to develop programming competencies. The results obtained show a positive impact regarding the previous year’s experience using traditional text-based programming languages. Using Arduino, students create digital circuits and computational electronics competencies, another significant benefit. This experience used an online simulator, and the results obtained permit us to plan future online education strategies for this major. Next step will be the application of Arduino and the online simulator to deepen the programming competencies including recursivity, real time constraints , multitasking features, data structure and object-oriented programming. The main limitations encountered in this experiment were the student limitations regarding electronics concepts in order to build up circuits and in in some cases low internet speeds to attend online education. Performing simulated experiences in classes were not a big challenge for teachers and most students. Nevertheless, problems could appear when performing practical experiences using real Arduino boards, which would may not be available in traditional classes.

This paper presents the main messages of a South American expert roundtable (ERT) on the unintended side effects (unseens) of digital transformation. The input of the ERT comprised 39 propositions from 20 experts representing 11 different perspectives. The two-day ERT discussed the main drivers and challenges as well as vulnerabilities or unseens and provided suggestions for: (i) the mechanisms underlying major unseens; (ii) understanding possible ways in which rebound effects of digital transformation may become the subject of overarching research in three main categories of impact: development factors, society, and individuals; and (iii) a set of potential action domains for transdisciplinary follow-up processes, including a case study in Brazil. A content analysis of the propositions and related mechanisms provided insights in the genesis of unseens by identifying 15 interrelated causal mechanisms related to critical issues/concerns. Additionally, a cluster analysis (CLA) was applied to structure the challenges and critical developments in South America. The discussion elaborated the genesis, dynamics, and impacts of (groups of) unseens such as the digital divide (that affects most countries that are not included in the development of digital business, management, production, etc. tools) or the challenge of restructuring small- and medium-sized enterprises (whose service is digitally substituted by digital devices). We identify specific issues and effects (for most South American countries) such as lack of governmental structure, challenging geographical structures (e.g., inclusion in high-performance transmission power), or the digital readiness of (wide parts) of society. One scientific contribution of the paper is related to the presented methodology that provides insights into the phenomena, the causal chains underlying “wanted/positive” and “unwanted/negative” effects, and the processes and mechanisms of societal changes caused by digitalization.

People are increasingly open to using online education mainly to break the distance and time barriers of presential education. This type of education is sustainable at all levels, and its relevance has increased even more during the pandemic. Consequently, educational institutions are saving large volumes of data containing relevant information about their operations, but they do not know why students succeed or fail. The Knowledge Discovery in Databases (KDD) process could support this challenge by extracting innovative models to identify the main patterns and factors that could affect the success of their students in online education programs. This work uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology to analyze data from the Distance Education Center of the Universidad Católica del Norte (DEC-UCN) from 2000 to 2018. CRISP-DM was chosen because it represents a proven process that integrates multiple methodologies to provide an effective meta-process for data knowledge projects. DEC-UCN is one of the first centers to implement online learning in Chile, and this study analyses 18,610 records in this period. The study applies data mining, the most critical KDD phase, to find hidden data patterns to identify the variables associated with students’ success in online learning (e-learning) programs. This study found that the main variables explaining student success in e-learning programs are age, gender, degree study, educational level, and locality.

Este trabajo presenta la experiencia académica, tanto de profesores como estudiantes, en un curso de último año para el desarrollo de sistemas de información web mediante el uso del marco de trabajo Django del lenguaje de programación Python. Django facilita el desarrollo de aplicaciones web con el uso del patrón de desarrollo Modelo-Plantilla-Vista (MTV, en inglés). Por la simplicidad sintáctica y práctica de Python y Django, los estudiantes de una carrera del área de administración y ciencias de la información fueron capaces de desarrollar prototipos de sistemas de información. Las experiencias de los estudiantes permiten remarcar la relevancia de las primeras fases del ciclo de desarrollo de software, requerimientos y diseño. Los proyectos que se presentan son sistemas web prototipo con operaciones para crear, leer, actualizar y eliminar (CRUD, en inglés) registros de la base de datos. Se concluye que Python es un lenguaje de programación adecuado para un fácil y rápido dominio.