Funcionalidades Emergentes para Tutorias em Ambientes Virtuais de Aprendizagem

Autor: Aluisio José Pereira, Alex Sandro Gomes, Tiago Thompsen Primo

Publikováno v: Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología, Iss 38 (2024)

A tutoria individualizada no ensino-aprendizagem, principalmente em larga escala, é uma demanda que requer profissionais qualificados e elevados custos para ser realizada. O objetivo deste estudo é analisar estratégias de prover possibilidades de

Externí odkaz: https://doaj.org/article/3c6ff0ba650c4f6e8732158227c01346

Learning Mediated by Social Network for Education in K-12: Levels of Interaction, Strategies, and Difficulties

Autor: Aluisio José Pereira, Alex Sandro Gomes, Tiago Thompsen Primo, Rodrigo Lins Rodrigues, Ronaldo Pereira Melo Júnior, Fernando Moreira

Publikováno v: Education Sciences, Vol 13, Iss 2, p 100 (2023)

This study aims to capture evidence on the effectiveness of emergency remote learning mediated by educational technology according to the interaction levels of K-12 students. The study involved students from a public institution that adopted emergenc

Externí odkaz: https://doaj.org/article/ef935a3b66b146d2bc0fbed092bec357

Visualizing Collaboration in Teamwork: A Multimodal Learning Analytics Platform for Non-Verbal Communication

Autor: René Noël, Diego Miranda, Cristian Cechinel, Fabián Riquelme, Tiago Thompsen Primo, Roberto Munoz

Publikováno v: Applied Sciences, Vol 12, Iss 15, p 7499 (2022)

Developing communication skills in collaborative contexts is of special interest for educational institutions, since these skills are crucial to forming competent professionals for today’s world. New and accessible technologies open a way to analyz

Externí odkaz: https://doaj.org/article/52a2c0b0226a4728a625b74ceb5d9d7e

Especificação de Sistema de Recomendação Educacional de Incentivo as Interações em Plataforma Social de Aprendizagem

Autor: Aluisio José Pereira, Alex Sandro Gomes, Tiago Thompsen Primo

Publikováno v: Revista Novas Tecnologias na Educação; Vol. 20 No. 2 (2022): Edição Regular-Dezembro de 2022; 1-10
Revista Novas Tecnologias na Educação; v. 20 n. 2 (2022): Edição Regular-Dezembro de 2022; 1-10

Os avanços nas estratégias de Inteligência Artificial (IA) têm promovido formas cada vez mais sofisticadas de interação social entre indivíduos em diferentes domínios virtuais. Atreladas aos ambientes de redes sociais, por exemplo, permite ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57e99c67b2c275dc911ea9bf89a1c237
https://seer.ufrgs.br/index.php/renote/article/view/129143

Predicting COVID-19 hospitalizations with attribute selection based on genetic and classification algorithms

Autor: Miriam Pizzatto Colpo, Bruno Cascaes Alves, Kevin Soares Pereira, Anna Flávia Zimmermann Brandão, Marilton Sanchotene de Aguiar, Tiago Thompsen Primo

Publikováno v: iSys - Brazilian Journal of Information Systems. 15

The COVID-19 pandemic has been pressuring the whole society and overloading hospital systems. Machine learning models designed to predict hospitalizations, for example, can contribute to better targeting hospital resources. However, as the excess of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::653e8c3ad3a72cba8508a5dcc637a0d1
https://doi.org/10.5753/isys.2022.2187