(Evaluación de una intervención de reorganización del calendario de actividades en una asignatura inicial de programación)
Authors:
Gómez, Alberto and Marco-Galindo, María-Jesús and Minguillón, Julià
Abstract:
A key factor in online learning is an instructional design that ensures that students maintain an adequate and constant learning pace throughout the course. This is especially relevant when a fundamentally practical and progressive learning approach is required, such as in introductory programming courses. This article describes an intervention conducted in a first-year subject of the Computer Engineering degree called “Programming Fundamentals”. This subject poses many challenges related to the introduction of abstract concepts, the completion of programming exercises in a specific language, and the monitoring of the pace of proposed learning activities so that students can achieve adequate learning. Based on academic results from several semesters, it was decided to make an intervention that modified the planning of learning activities to maintain motivation and learning pace throughout the semester, while reducing the time between completing the activities and receiving feedback. An analysis of the results following the change shows that more students complete the core activities, with a decrease in dropouts from continuous assessment and an increase in the number of students passing the course. Data analysis has been validated using propensity score matching, a method for evaluating interventions with a quasi-experimental design.
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(Formacion de Científicos de Datos mediante Aprendizaje Basado en Proyectos)
Authors:
Martinez-Plumed, Fernando and Hernández-Orallo, José
Abstract:
The concepts of innovation, creativity, problem solving, effective communication, autonomy and critical thinking are at the core of becoming a good data scientist. Adapting to new technological resources and tools is also an important skill, which also builds on the curious and inquisitive nature associated with data science, and is fuelled by rapidly changing data science ecosystems in industry. In this regard, Project-based learning (PBL) has clear benefits for engaging students in data science courses. However, the exploratory character of data science projects, which do not start with a clear specification of what to do, but some data to analyse, pose some challenges to the application of PBL. Our aim is to improve students’ data science learning experiences and outcomes through the use of PBL. In this paper, we share our experiences with PBL and present an assessment rubric that focuses on value, innovation and narrative, which can be used as a scaffolding structure for data science courses. Our analysis of a PBL data science course at MSc level, together with data from student surveys, shows how the methodology and rubric align well with the exploratory nature of data science and the proactive, curious, and inquisitive skills required of data scientists.
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(Propuesta de laboratorios remotos para la interacción con prácticas de física orientada a la formación de ingenieros)
Authors:
Ordoñez Urbano, Carlos Felipe and Muñoz, Jorge Adrián and Fierro, Leonairo Pencue and Marulanda, Juan Fernando Flórez and Vargas-Cañas, Rubiel
Abstract:
Academic training of professionals, especially in engineering fields, should enable them to reliably interpret their surroundings for informed decision-making. This is crucial for engineering students who continuously quantify and anal-yze system operations. In the current context, where in-person and virtual work blend together thanks to technological advances, professional education must establish flexible alternatives to assimilate phenomenological knowledge without sacrificing essential aspects of real experimentation. Remote laboratories emerge as an alternative to strengthen these aspects through distance learning. This paper presents a proposed and developed functional architecture scheme for remote interaction-based mechanical physics laboratories, allowing the configuration of initial operating conditions, execution of experiments, and data collection for three fundamental physics practices: free fall, Hooke’s law, and parabolic motion. The proposed architecture is scalable under the Internet of Things approach, using the necessary hardware and software elements with user-friendly interaction interfaces, making the developed remote laboratories a viable option for engineering students’ education, without requiring physical presence for their execution.
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(Telesimulación, estrategia para la continuidad académica y el entrenamiento interprofesional en ciencias de la salud)
Authors:
Ríos-Barrientos, Elena
Abstract:
The COVID-19 pandemic has altered all aspects of daily life. Education has been greatly affected, despite living in a technological present, not all teachers or institutions have the necessary preparation or resources to achieve quality continuity. Telesimulation is a direct derivation of clinical simulation, a formal teaching technique that promotes active learning in controlled and safe spaces, but in this modality, the interaction is synchronous and remote. Interprofessionalism in health sciences, the basis of integral clinical care, can find training spaces through telesimulation.
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