Tiago Thompsen Primo
Biographic Data
| ID | 4037142 |
|---|---|
| NAME | Tiago Thompsen Primo |
| GIVEN NAMES | Tiago Thompsen |
| FAMILY NAME | Primo |
| SIGNATURE | PRIMO T T |
| AFFILIATIONS | Programa de Pós‐Graduação em Computação Universidade Federal de Pelotas (UFPel) Pelotas Brazil |
| ORCID | 0000-0003-3870-097X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Lessons learned from the student dropout patterns on Covid ‐19 pandemic
During the COVID‐19 pandemic, the challenges associated with the transition from face‐to‐face to emergency remote education increased concerns about student dropout. Aligned with this concern, this study investigates the impact of the pandemic on the dropout patterns of 3371 undergraduate students from a Brazilian institution. Using data mining and machine learning techniques, we developed predictive dropout models based on student data preceding…
Classificação de interações com indicadores de engajamento dos estudantes no aprendizado online
Este estudo aborda a dificuldade de analisar indicadores do engajamento dos estudantes em atividades de ensino-aprendizagem online. Foi analisado o desempenho de diferentes algoritmos de Aprendizagem de Máquina (AM), combinados com estratégias de comitês de classificadores heterogêneos e homogêneos, para identificar as abordagens mais eficazes na previsão dos níveis de interação dos estudantes. Os resultados indicam que o comitê Boosting com os a…
Learning Mediated by Social Network for Education in K-12
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 emergency remote learning during the COVID-19 pandemic. From a mixed approach that used quantitative and qualitative methods, data from 963 students were collected and analyzed on the domain and use of the vi…
No prominent works on this page.
Learning Mediated by Social Network for Education in K-12
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 emergency remote learning during the COVID-19 pandemic. From a mixed approach that used quantitative and qualitative methods, data from 963 students were collected and analyzed on the domain and use of the vi…
Lessons learned from the student dropout patterns on Covid ‐19 pandemic
During the COVID‐19 pandemic, the challenges associated with the transition from face‐to‐face to emergency remote education increased concerns about student dropout. Aligned with this concern, this study investigates the impact of the pandemic on the dropout patterns of 3371 undergraduate students from a Brazilian institution. Using data mining and machine learning techniques, we developed predictive dropout models based on student data preceding…
Classificação de interações com indicadores de engajamento dos estudantes no aprendizado online
Este estudo aborda a dificuldade de analisar indicadores do engajamento dos estudantes em atividades de ensino-aprendizagem online. Foi analisado o desempenho de diferentes algoritmos de Aprendizagem de Máquina (AM), combinados com estratégias de comitês de classificadores heterogêneos e homogêneos, para identificar as abordagens mais eficazes na previsão dos níveis de interação dos estudantes. Os resultados indicam que o comitê Boosting com os a…
Psychology (3 works) · Computer Science (2 works) · Educational Innovations and Technology (2 works) · Mathematics education (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Business and Management Studies (1 works) · Context (archaeology) (1 works) · Coronavirus disease 2019 (COVID-19) (1 works) · COVID-19 and Mental Health (1 works)