Výsledky vyhledávání - "Juan Pedro Martínez Ramón"

Akademický článek

Inteligencia emocional y síndrome de burnout en el profesorado de Secundaria

Autor: Almudena Andreu-Moñino, Juan-Pedro Martínez-Ramón

Publikováno v: Estudios sobre Educación, Vol 46 (2023)

La inteligencia emocional y el síndrome de burnout en los docentes influyen en la calidad de la educación y en el desarrollo integral del alumnado. Esta investigación perseguía describir estos dos factores y la relación entre ambos en el profeso

Externí odkaz: https://doaj.org/article/3b66aed043d4475ab72a90691ab71521

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Akademický článek

Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network

Autor: Juan Manuel Hernández de la Hera, Francisco Manuel Morales-Rodríguez, José Pablo Rodríguez-Gobiet, Juan Pedro Martínez-Ramón

Publikováno v: Frontiers in Psychology, Vol 14 (2023)

Mathematics and statistical skills are crucial to daily life. However, many students found mathematics difficult to learn and understand. This research aimed to find relationships between mathematics and statistical attitudes and emotional dimensions

Externí odkaz: https://doaj.org/article/5f9242c56a1f4ed9b1d5025b77c45e40

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Akademický článek

Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies

Autor: Francisco Manuel Morales-Rodríguez, Juan Pedro Martínez-Ramón, Manuel Alejandro Narváez Peláez, Catalda Corvasce

Publikováno v: Children, Vol 10, Iss 10, p 1688 (2023)

School anxiety depends on multiple factors that occur directly or indirectly in the teaching–learning process, such as going to the blackboard in class or reporting low grades at home. Other factors that influence school climate are social skills a

Externí odkaz: https://doaj.org/article/47df0e437f7b4269b36e8ce2446b2682

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Akademický článek

Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables

Autor: Juan Pedro Martínez-Ramón, Francisco Manuel Morales-Rodríguez, Cecilia Ruiz-Esteban, Inmaculada Méndez

Publikováno v: Frontiers in Psychology, Vol 13 (2022)

Artificial intelligence (AI) is a useful predictive tool for a wide variety of fields of knowledge. Despite this, the educational field is still an environment that lacks a variety of studies that use this type of predictive tools. In parallel, it is

Externí odkaz: https://doaj.org/article/264716990c7744c89fc10812eeba42fe

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Akademický článek

Stress, Coping, and Resilience Before and After COVID-19: A Predictive Model Based on Artificial Intelligence in the University Environment

Autor: Francisco Manuel Morales-Rodríguez, Juan Pedro Martínez-Ramón, Inmaculada Méndez, Cecilia Ruiz-Esteban

Publikováno v: Frontiers in Psychology, Vol 12 (2021)

The COVID-19 global health emergency has greatly impacted the educational field. Faced with unprecedented stress situations, professors, students, and families have employed various coping and resilience strategies throughout the confinement period.

Externí odkaz: https://doaj.org/article/4b38ca66a76d4d0686366d684ebbd718

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Akademický článek

Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network

Autor: Juan Pedro Martínez-Ramón, Francisco Manuel Morales-Rodríguez, Sergio Pérez-López

Publikováno v: Applied Sciences, Vol 11, Iss 17, p 8206 (2021)

Emotional exhaustion, cynicism, and work inefficiency are three dimensions that define burnout syndrome among teachers. On another note, resilience can be understood as the ability to adapt to the environment and overcome adverse situations. In addit

Externí odkaz: https://doaj.org/article/e26fef08c9eb466e9940eec15cb446bb

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