Miguel Ángel Nogueira Pérez
Biographic Data
| ID | 9620181 |
|---|---|
| NAME | Miguel Ángel Nogueira Pérez |
| GIVEN NAMES | Miguel Ángel Nogueira |
| FAMILY NAME | Pérez |
| SIGNATURE | PÉREZ M Á N |
| AFFILIATIONS | Universidade de Santiago de Compostela |
| ORCID | 0000-0001-7869-3802 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Student satisfaction and engagement profiles and the probability of dropout determined by data mining
The study identifies student profiles based on ‘satisfaction’ and ‘engagement’ and explores their relationship with dropout risk quartiles, determined through data mining of big data from three Spanish universities. A sample of 2,352 students, drawn from databases used in the data mining phase, was analyzed, encompassing various academic fields and levels of dropout risk (previously assessed via big data). Using a satisfaction and engagement ques…
Factores influyentes en la toma de decisiones académico-profesionales
Las transiciones durante educación secundaria son momentos clave, ya que las decisiones académico-profesionales adoptadas por los jóvenes, supeditadas por diversos factores, condicionan su futuro. Identificar las principales influencias posibilitará que la práctica orientadora pueda atenderlas, asegurando, en los jóvenes, el máximo provecho de sus oportunidades reales. Este estudio tiene como objetivo determinar, desde la perspectiva de adolescen…
No prominent works on this page.
Factores influyentes en la toma de decisiones académico-profesionales
Las transiciones durante educación secundaria son momentos clave, ya que las decisiones académico-profesionales adoptadas por los jóvenes, supeditadas por diversos factores, condicionan su futuro. Identificar las principales influencias posibilitará que la práctica orientadora pueda atenderlas, asegurando, en los jóvenes, el máximo provecho de sus oportunidades reales. Este estudio tiene como objetivo determinar, desde la perspectiva de adolescen…
Student satisfaction and engagement profiles and the probability of dropout determined by data mining
The study identifies student profiles based on ‘satisfaction’ and ‘engagement’ and explores their relationship with dropout risk quartiles, determined through data mining of big data from three Spanish universities. A sample of 2,352 students, drawn from databases used in the data mining phase, was analyzed, encompassing various academic fields and levels of dropout risk (previously assessed via big data). Using a satisfaction and engagement ques…
Art (1 work) · At-risk students (1 work) · Data collection (1 work) · Educational Data Mining (1 work) · Educational Outcomes and Influences (1 work) · Educational Strategies and Epistemologies (1 work) · Grit, Self-Efficacy, and Motivation (1 work) · Higher education (1 work) · Higher Education Teaching and Evaluation (1 work) · Humanities (1 work)