Marcelo Ruiz
Biographic Data
| ID | 4510043 |
|---|---|
| NAME | Marcelo Ruiz |
| GIVEN NAMES | Marcelo |
| FAMILY NAME | Ruiz |
| SIGNATURE | RUIZ M |
| AFFILIATIONS | Universidad Bernardo O'Higgins |
| ORCID | 0000-0003-1865-7839 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Environmental and energy indicators in Latin America and the Caribbean
In the current context of concern about the environmental impacts of human activity, the focus on sustainable development and environmental impact assessment (EIA) has gained prominence. The Brundtland Commission highlights the importance of meeting present needs without compromising future ones, leading to international treaties and public policies to address the environmental crisis. Moreover, the Latin American and Caribbean Initiative for Sus…
Applying neural networks in student satisfaction analysis
This study analyzes student satisfaction at a university using a structured survey and advanced artificial intelligence techniques, specifically neural networks. The main objective is to identify the key factors in students’ perception of educational quality. The methodology involved a survey with 38 items on a Likert scale of 1 to 7, applied to a diverse sample of undergraduate, postgraduate, and exchange students during the years 2022 and 2023.…
Towards Inclusive Higher Education
Universities are a key element in preventing any form of discrimination. Therefore, the United Nations 2030 Agenda recognizes their role through goal 4 regarding the quality of education. The 2030 agenda also includes goals 5 and 10, regarding gender equity and reducing inequalities as cross-cutting elements to boost social inclusion. The purpose of this research is to carry out a multivariate and dynamic analysis of the most outstanding universi…
Modelo de predicción de la deserción estudiantil de primer año en la Universidad Bernardo O ́Higgins
El presente estudio tiene como objetivo modelar un sistema predictivo de retención de los estudiantes de primer año de la Universidad Bernardo O ́Higgins - UBO (Santiago de Chile), determinando cuáles de las variables de entrada a la educación superior, ya sean estas académicas, sociales o familiares, se revelan significativas para este análisis. La construcción del modelo de investigación se sustentó en una exhaustiva revisión bibliográfica que …
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Modelo de predicción de la deserción estudiantil de primer año en la Universidad Bernardo O ́Higgins
El presente estudio tiene como objetivo modelar un sistema predictivo de retención de los estudiantes de primer año de la Universidad Bernardo O ́Higgins - UBO (Santiago de Chile), determinando cuáles de las variables de entrada a la educación superior, ya sean estas académicas, sociales o familiares, se revelan significativas para este análisis. La construcción del modelo de investigación se sustentó en una exhaustiva revisión bibliográfica que …
Towards Inclusive Higher Education
Universities are a key element in preventing any form of discrimination. Therefore, the United Nations 2030 Agenda recognizes their role through goal 4 regarding the quality of education. The 2030 agenda also includes goals 5 and 10, regarding gender equity and reducing inequalities as cross-cutting elements to boost social inclusion. The purpose of this research is to carry out a multivariate and dynamic analysis of the most outstanding universi…
Environmental and energy indicators in Latin America and the Caribbean
In the current context of concern about the environmental impacts of human activity, the focus on sustainable development and environmental impact assessment (EIA) has gained prominence. The Brundtland Commission highlights the importance of meeting present needs without compromising future ones, leading to international treaties and public policies to address the environmental crisis. Moreover, the Latin American and Caribbean Initiative for Sus…
Applying neural networks in student satisfaction analysis
This study analyzes student satisfaction at a university using a structured survey and advanced artificial intelligence techniques, specifically neural networks. The main objective is to identify the key factors in students’ perception of educational quality. The methodology involved a survey with 38 items on a Likert scale of 1 to 7, applied to a diverse sample of undergraduate, postgraduate, and exchange students during the years 2022 and 2023.…
Computer Science (2 works) · Mathematics (2 works) · Multivariate analysis (2 works) · Political science (2 works) · Sustainability (2 works) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Ecology (1 work) · Economic growth (1 work)