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Preprint . 2024
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Preprint . 2024
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La regulación de la motivación y de la emoción en la resolución de tareas matemáticas

The regulation of motivation and emotion in the resolution of mathematical tasks
Authors: Sarabia, Arantxa; Torrano, Fermin; Iriarte Redin, Concha; González-Torres, María Carmen;

La regulación de la motivación y de la emoción en la resolución de tareas matemáticas

Abstract

En esta investigación, se aborda la importancia de la autorregulación en el aprendizaje de matemáticas, destacando cómo la motivación y las emociones influyen en el rendimiento de los estudiantes. Se enfatiza que uno de los objetivos educativos es que los alumnos asuman la responsabilidad de su propio aprendizaje. La autorregulación se vuelve crucial en la sociedad actual, donde los estudiantes deben gestionar su aprendizaje de manera efectiva. Se identifican características de estudiantes autorregulados, tales como el uso de estrategias cognitivas, la planificación metacognitiva y la capacidad para controlar sus emociones y motivaciones. Las matemáticas son una disciplina compleja que presenta desafíos únicos para los estudiantes. Muchos alumnos enfrentan dificultades debido a la naturaleza abstracta de la materia y a factores emocionales como la ansiedad y la baja autoeficacia. Estas dificultades pueden llevar a una baja motivación y a actitudes negativas hacia las matemáticas. Se presentan diversos instrumentos para evaluar aspectos motivacionales y emocionales en el aprendizaje de matemáticas. Se distinguen metodologías cuantitativas, como cuestionarios de autoevaluación, y cualitativas, que buscan obtener información más profunda sobre las emociones de los estudiantes durante la resolución de problemas. Finalmente, se ofrecen recomendaciones para mejorar el clima afectivo en las clases de matemáticas. Estas incluyen seleccionar tareas adecuadas al nivel del alumno, presentar las matemáticas de manera atractiva y significativa, y fomentar una cultura de aprendizaje donde los errores sean vistos como oportunidades de mejora. En resumen, se subraya la necesidad de integrar la regulación emocional y motivacional en la enseñanza de las matemáticas para mejorar la experiencia y el rendimiento de los estudiantes

In this research, the importance of self-regulation in mathematics learning is addressed, highlighting how motivation and emotions influence student performance. It is emphasized that one of the educational objectives is for students to take responsibility for their own learning. Self-regulation becomes crucial in today's society, where students must effectively manage their learning processes. Characteristics of self-regulated students are identified, such as the use of cognitive strategies, metacognitive planning, and the ability to control their emotions and motivations. Mathematics is a complex discipline that presents unique challenges for students. Many learners face difficulties due to the abstract nature of the subject and emotional factors such as anxiety and low self-efficacy. These challenges can lead to decreased motivation and negative attitudes toward mathematics. Various instruments are presented to evaluate motivational and emotional aspects of mathematics learning. Quantitative methodologies, such as self-assessment questionnaires, are distinguished from qualitative approaches, which seek to obtain deeper insights into students' emotions during problem-solving. Finally, recommendations are offered to improve the affective climate in mathematics classes. These include selecting tasks appropriate to the student's level, presenting mathematics in an engaging and meaningful way, and fostering a learning culture where mistakes are viewed as opportunities for improvement. In summary, the necessity of integrating emotional and motivational regulation into mathematics instruction is underscored to enhance the experience and performance of students.

Keywords

metacognición, self-regulation learning, autoeficacia, aprendizaje autoregulado, self-efficacy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green