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The major challenges facing higher education are related issues to the training the next generation of engineers who must be recognized as leaders with technical skills but also with competencies to provide smart solutions in the problem-solving processes. Many approaches have been proposed in this context, but the most of them not be formal, do not focus on engineering and not consider the trends and challenges as a starting point to define new practical proposals. In this paper, a set of challenges are researched to define a new proposal for training the next generation of engineers focused on leadership. The main objective is to provide guidelines to guidance in the training process into higher education institutions. After that, new research will be performed to put in practical context the proposal defined in this paper.

This paper presents the preliminary results about a systematic mapping of the soft skills suggested/considered important in the agile global software development (AGSD) with an impact on society 5.0. The papers selection method was carried out following a set of research objectives and questions defined from the GQM (Goal-Question-Metric) approach and a suggested systematic protocol for mapping in Software Engineering. Findings show that the existence of research related to soft skills in AGSD up to the date of this review, it is few, however, it is possible to observe that it has gained importance in the last three years

This paper describes a new technological evolution of the Sucre project, which aims to promote scientific vocations, develop computational thinking and programming skills in pre-university students. The improved version is called Sucre4Stem and has been designed from the Internet of Things perspective. At a technological level, we differentiate two main tools, SucreCore and SucreCode. SucreCore provides a new, more compact design, encapsulates an advanced microcontroller, and supports wireless connectivity with the ability to create online variables and functions. SucreCode, the blockbased visual programming tool, has a revamped interface and allows wireless communication with SucreCore. At the pedagogical level, Sucre4Stem makes it easier to undertake new group dynamics and create novel types of collaborative projects between groups of students. In this article, we also explore how these collaborative projects can be realised by taking advantage of the different types of communications between SucreCore and the server-side platform using shared online variables and functions.

Programming education goes through the transition from the content model to the learning outcomes model and the integration of technology, where automatic assessment tools allow students to support them in practice; This makes learning inclusive by proposing a transversal approach so that the necessary programming skills are achieved. In this sense, this paper presents a strategy that evaluates the source code and analyzes it using software metrics to identify students' learning results in a programming course. A strategy was developed that integrates an automatic source code evaluation tool, which allowed us to identify How an evaluation-based approach supports the learning process, time, and impact in a computer programming course? The results show that the strategy helps the transition from a programming course to a learning outcomes model and reduces the evaluation time without affecting students' grades, compared to the traditional way. Finally, it is essential to highlight that the development of strategies that integrate tools that support the teaching-learning and evaluation process in programming courses has a positive impact on academic training and decision-making, seeking to improve students' weaknesses through the analysis of the outcomes obtained.

Open-source software (OSS) has become a valuable resource for corporate, educational, and social processes, reducing digital divides in emerging countries. This paper proposes an open-source software acceptance model (OSS-AM) to examine determinants of OSS adoption among students in emerging economies. A quantitative methodology with a descriptive correlational approach was employed, collecting data from a representative sample of 504 students. Confirmatory factor analysis showed strong associations between attitude towards use and variables such as compatibility, quality, flexibility, and security. This study reveals that skill development through practical education, perceived usefulness, training, and compatibility are the most influential factors in students’ adoption of OSS

Fil: Barba Leal, Omelio. INVAP S.E. Bariloche, Río Negro, Argentina. Fil: Rinalde, Fabián. Comisión Nacional de Energı́a Atómica (CNEA). Bariloche, Argentina. Fil: Rinalde, Fabián. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Cogo, Jorge. Universidad Nacional de Río Negro. Centro Interdisciplinario de Telecomunicaciones, Electrónica, Computación y Ciencia Aplicada. Río Negro, Argentina. Fil: Cogo, Jorge. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Pascual, Juan Pablo. Instutito Balseiro. Universidad Nacional de Cuyo. Río Negro, Argentina. Fil: Pascual, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Argentina. Wireless Local Area Network (WLAN) devices and C-band weather radars share the same frequency band. When WLAN devices transmit at the same or close frequency as weather radar the resulting interference can severely limit the usefulness of radar images.This paper proposes an algorithm for WLAN packets detection in weather radar data based on the location of the preamble of these packets, taking advantage of its deterministic structure. The theoretical guidelines that define the detection algorithm and the reference signal are presented. The performance of the detector is evaluated using numerical simulations and is tested with real data obtained from the Argentinian weather radar RMA1, located in Córdoba city. The probability of detection obtained when processing radar data is consistent with the numerical simulations results and with the predictions of the theoretical model. La interferencia entre dispositivos inalámbricos de area local (WLAN) y los radares meteorológicos de banda C aparece por una superposición de las bandas de frecuencias de operación de ambas tecnologías. Por este motivo, las señales WLAN recibidas por el radar enmascaran las reflexiones útiles asociadas a los fenómenos meteorológicos que se desean observar. En este trabajo se propone un algoritmo de detección de paquetes WLAN en registros de datos de radar meteorológico, el cual se basa en utilizar la estructura que posee el preámbulo de las tramas de datos que transmiten estos dispositivos. Se presentan los lineamientos teóricos que definen el algoritmo de detección y la señal de referencia. Además, se evalúa el desempeño del detector empleando mediciones reales del radar meteorológico argentino RMA1, emplazado en la localidad de Córdoba. La probabilidad de detección obtenida utilizando datos reales se compara con la estimada empleando simulaciones numéricas del tipo Montecarlo. Los resultados obtenidos al procesar las mediciones reales se condicen con lo que predice el planteamiento teórico y las simulaciones numéricas.