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Emanuel Marques Queiroga on Muck Rack

Emanuel Marques Queiroga

As seen in: Nature, MDPI, Dialnet - Universidad de La Rioja
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Articles

Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools

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By Felipe Roque, Augusto F. Schmidt, Rafael Oliveira, Leonardo Brandão Marques, Diego Dermeval, Emanuel Marques Queiroga, Cristian Cechinel, Thales Vieira, Abílio Nogueira Barros, Tiago Paulino, Flavia Galvani, Elthon Oliveira
| Nature Verified
Abstract School attendance is a fundamental prerequisite for children’s and adolescents’ academic, social, and personal development. Yet, despite decades of research and policy efforts, rates of problematic school absenteeism remain persistently high. This study investigates the predictive potential of school-level factors to identify schools at secondary level in Brazil at risk of elevated absenteeism.
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Analyzing Intervention Strategies Employed in Response to Automated Academic-Risk Identification: A Systematic Review

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By Augusto F. Schmidt, Cristian Cechinel, Emanuel Marques Queiroga, Tiago Thompsen Primo
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Analyzing Intervention Strategies Employed in Response to Automated Academic-Risk Identification: A Systematic Review Augusto Schmidt [1] ; Cristian Cechinel [2] ; Emanuel Marques Queiroga [3] ; Tiago Primo [4] ; Vinicius Ramos [2] ; Andréa Sabedra Bordin [2] ; Rafael Ferreira Mello [5] ; Roberto Muñoz [6] [1] PPGC, Universidade Federal de Pelotas, Pelotas, Brazil [2] PPGTIC, UFSC, Araranguá, Brazil [3] Instituto Federal de Educação, Ciência e...
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Early Prediction of At-Risk Students in Secondary Education: A Countrywide K-12 Learning Analytics Initiative in Uruguay

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By Emanuel Marques Queiroga, Cristian Cechinel, Virgínia Rodés Paragarino, Tiago Thompsen Primo
| MDPI
1. Introduction The educational system of Uruguay has experienced important problems associated with backwardness and disengagement in recent decades [1]. Even though the system is characterized by universal coverage at the primary level, it is possible to observe that the student grade retention, dropout rates, and non-enrollment rates increase as the education system progresses, while age-appropriate coverage decreases [2].
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