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Technological aspects for pleasant learning: A review of the literature
ArticleAbstract: The teaching-learning process, at each educational level, is often an open problem for educators andPalabras claves:Augmented Reality, Educational games, Enjoyable learning, learning models, Learning toolsAutores:Byron Geovanny Hidalgo-Cajo, Delgadillo R.S., Ramiro Quezada, Rivera L.A.Fuentes:googlescopusDesign of an augmented reality serious game for children with dyscalculia: A case study
Conference ObjectAbstract: Numeracy skills are essential in the modern world. However, many children experience difficulties inPalabras claves:ATHYNOS, Augmented reality serious game, Dyscalculia, Serious games designAutores:Delgadillo R.S., Diego Fernando Avila-Pesantez, Leticia Vaca-Cardenas, Padilla Padilla N., Rivera L.A.Fuentes:googlescopusIntegration of learning management system technology and social networking sites in the e-learning mode: A review and discussion
ArticleAbstract: —Literature explores the technological development that universities have gone through and that theyPalabras claves:Blended learning, Educational Innovation, Higher education, SNS-LMS, — Electronic learning modelsAutores:Byron G. Hidalgo, Delgadillo R.S., Rivera L.A.Fuentes:scopusProposal of a Conceptual Model for Serious Games Design: A Case Study in Children with Learning Disabilities
ArticleAbstract: Serious Games (SG) have a particular ability to motivate and engage in the therapeutic and learningPalabras claves:ATHYNOS, conceptual model for design, Game-based learning, Serious GamesAutores:Delgadillo R.S., Diego Fernando Avila-Pesantez, Rivera L.A.Fuentes:googlescopusMethodology for Detecting Suspicious Claims in Health Insurance Using Supervised Machine Learning
ArticleAbstract: Health insurance fraud (HIF) places a substantial economic burden on global health systems. While suPalabras claves:Class imbalance, Fraud detection, health insurance fraud, Machine Learning, Perú, systematic methodologyAutores:David Mauricio, Delgadillo R.S., Juan Nazario Arancibia, Luis Napoleon Quiroz Aviles, Villegas-Ortega J., Wilder Carpio MontenegroFuentes:scopusFactors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012–2024
ReviewAbstract: College dropout represents a significant challenge for universities, and despite advances in machinePalabras claves:Explainability, FACTORS, Machine Learning, PREDICTION, simulation, University dropoutAutores:David Mauricio, Delgadillo R.S., Jorge Parraga-Alava, Maculan N., Mauricio Quimiz-MoreiraFuentes:scopus