Examinando por Autor "Tabares Betancur, Marta Silvia"
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Ítem Graffiti and government in smart cities : a deep learning approach applied to Medellín city, Colombia(Universidad EAFIT, 2021) Rozo Alzate, Javier Arturo; Vallejo Correa, Paola Andrea; Tabares Betancur, Marta Silvia; Tabares Betancur, Marta SilviaÍtem Hacia un método de predicción de resultados de evaluación en un contexto de micro aprendizaje(Universidad EAFIT, 2020) Sánchez Castrillón, Jose David; Vallejo, Paola; Tabares Betancur, Marta Silvia; Tabares Betancur, Marta SilviaThis paper presents a method for predicting the evaluation results of learners interacting with a context-aware microlearning system. We use ASUM-DM to guide di erent data analytics tasks, including applying a genetic algorithm that selects the prediction's highest weight features. Then, we apply machine learning models like Random Forest, Gradient Boosting Tree, Decision Tree, SVM, and Neural Networks to train data and evaluate the context's e ects, either success or failure of the learner's evaluation. We are interested in nding the model of signi cant context-in uence to the learner's evaluation results. The Random Forest model provided an accuracy of 94%, which was calculated with the cross-validation technique. Thus, it is possible to conclude that the model can accurately predict the evaluation result and relate it with the learner context. The model result is a useful insight for sending noti cations to the learners to improve the learning process. We want to provide recommendations about learner behavior and context and adapt the microlearning content in the future.Ítem Predictive Model for the Detection of Natural Gas Customers Who Consume the Service Without Being Billed(EAFIT, 2022) Jaramillo Zapata, Diego Andrés; Tabares Betancur, Marta Silvia; Tabares Betancur, Marta SilviaÍtem Reference Model of Appropriation of Digital Technologies for Learning in Higher Education Institutions(Universidad EAFIT, 2024) González Franco, Germán Alberto; Tabares Betancur, Marta Silvia; Tabares Betancur, Marta SilviaIn the digital age, technology for learning has promoted a constant evolution in educational dynamics. This leads higher education institutions to rethink themselves with new styles or models to achieve the adoption and adaptation of technologies in new academic environments. However, very few frameworks for acquiring and deploying digital technologies for learning that integrate such technologies. This paper proposes a model to guide the appropriation of digital learning technologies in the Higher Education Institutions. To achieve it, initially, an exploration of the literature concerning the appropriation of digital technologies in the context of learning for higher education institutions was made, and then, data was collected that allowed us to understand the state of the appropriation of digital technologies for learning; Thus, a model with interrelated components for appropriate digital technologies for learning was designed. It included metrics that allow us to know the level of appropriation. Finally, the authors validated its relevance to digital technologies for learning projects among stakeholders through their strategic guidelines for appropriation in different academic contexts