Pedro Sobreiro
Biographic Data
| ID | 7935141 |
|---|---|
| NAME | Pedro Sobreiro |
| GIVEN NAMES | Pedro |
| FAMILY NAME | Sobreiro |
| SIGNATURE | SOBREIRO P |
| AFFILIATIONS | Instituto Politécnico de Santarém |
| ORCID | 0000-0003-3971-3545 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Digital technology for the national sport development: Designing a database model to analyse elite sports data
Relational database models offer a pathway for the storage, standardization, and analysis of factors influencing national sports development. While existing research delves into the factors linked with sporting success, there remains an unexplored avenue for the design of databases that seamlessly integrate quantitative analyses of these factors. This study aims to design a relational database to store and analyse quantitative sport development d…
Teaching Sentiment in Emergency Online Learning—A Conceptual Model
Due to the COVID-19 pandemic, higher education institutions with a face-to-face model have found themselves in the contingency of migrating to online learning. This study explores the perspective of all the lecturers at a Portuguese private higher education institution who were invited to participate, regardless of their research area, in this questionnaire. It aims to propose and test a conceptual model that combines attitudes, preferred activit…
Predicting Fitness Centre Dropout
The phenomenon of dropout is often found among customers of sports services. In this study we intend to evaluate the performance of machine learning algorithms in predicting dropout using available data about their historic use of facilities. The data relating to a sample of 5209 members was taken from a Portuguese fitness centre and included the variables registration data, payments and frequency, age, sex, non-attendance days, amount billed, av…
Strategy operationalization in a Taekwondo Federation
[EN] The management of sport requires addressing the organization structures and systems, considering simultaneously
No prominent works on this page.
Strategy operationalization in a Taekwondo Federation
[EN] The management of sport requires addressing the organization structures and systems, considering simultaneously
Teaching Sentiment in Emergency Online Learning—A Conceptual Model
Due to the COVID-19 pandemic, higher education institutions with a face-to-face model have found themselves in the contingency of migrating to online learning. This study explores the perspective of all the lecturers at a Portuguese private higher education institution who were invited to participate, regardless of their research area, in this questionnaire. It aims to propose and test a conceptual model that combines attitudes, preferred activit…
Predicting Fitness Centre Dropout
The phenomenon of dropout is often found among customers of sports services. In this study we intend to evaluate the performance of machine learning algorithms in predicting dropout using available data about their historic use of facilities. The data relating to a sample of 5209 members was taken from a Portuguese fitness centre and included the variables registration data, payments and frequency, age, sex, non-attendance days, amount billed, av…
Digital technology for the national sport development: Designing a database model to analyse elite sports data
Relational database models offer a pathway for the storage, standardization, and analysis of factors influencing national sports development. While existing research delves into the factors linked with sporting success, there remains an unexplored avenue for the design of databases that seamlessly integrate quantitative analyses of these factors. This study aims to design a relational database to store and analyse quantitative sport development d…
Computer Science (3 works) · Political science (3 works) · Psychology (2 works) · Sociology (2 works) · Artificial Intelligence (1 works) · Attendance (1 works) · Big Data and Business Intelligence (1 works) · Boosting (machine learning (1 works) · Classifier (UML (1 works) · Computer-assisted web interviewing (1 works)