El aprendizaje basado en retos (ABR) es una metodología activa e innovadora, el cual aplicado en la educación superior buscaría articular el sector formativo con el productivo. Por lo que es necesario promover su empleo y difusión, El objetivo del estudio fue identificar los elementos innovadores de la metodología del ABR y que competencias formativas y de empleabilidad desarrollan. La metodología empleada es de revisión bibliográfica, la búsqueda se realizó en las bases de datos como: Scopus, Scielo, Redalyc, Ebsco, Dialnet y Google Académico. Los resultados se basaron en estudios con 5 años de antigüedad realizados en universidades e institutos de educación superior, encontrándose 27 artículos y un libro identificados con la temática en estudio, donde sostienen que el ABR es una metodología para desarrollar la creatividad, el pensamiento crítico el aprendizaje colaborativo y la motivación, se concluyó que el ABR es una metodología para que el estudiante experimente situaciones problemáticas reales frente a las cuales debe presentar soluciones innovadoras, creativas y sostenibles en el tiempo.
The research is a bibliographic review on e-learning at the higher level in times of pandemic, e-learning. Databases were reviewed Eric, Scopus, Web of science, Dialnet, Scielo, Google scholar, digital books Likewise, the article aims to explain higher education and the pandemic, the conceptualization of e-learnig, b-learnig, connectivism theory, pedagogical dimensions of the E -Learnig, online activities, and the educational inequalities in times of pandemic. The review of this literature allowed us to reach the following conclusions: e-learning are applications and tools that rely on ICT to facilitate learning, from a pedagogical approach through e-learning, students learn autonomously and independently. The impact on higher education has been dramatic and transformative, and a common trend in education systems around the world has been to respond to the pandemic with “emergency e-learning” protocols, marking a rapid transition from face-to-face classes to learning systems online.
Although it is true that artificial intelligence and data science have become key tools that contribute to the improvement of many processes, identifying patterns and contributing to decision making, however, there are environments in which they are not yet being using it relevantly and effectively. The objective of this study is to identify the relevant factors, based on the opinions expressed by the students through the social network Twitter regarding the perception of satisfaction with the teaching performance during the virtual learning environment. For which sentiment analysis and text mining are used under the Python programming language environment, through JupyterLab. As results, it was determined that a predominance of 57.27% of positive polarity, identifying that the relevant factors of student satisfaction with teaching performance, are related to the development of the teacher in the class sessions that contributes to the learning of the process control subject through the use of simulation tools such as simulink and tools linked to proportional integral derivative (PID) controllers; on the other hand, there is a percentage of negative polarity of 15.45% that belongs to the factors linked to the laboratory sessions in which graphic representation and block diagrams were used to explain the class session.
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