scholarly journals Relación entre tiempo de estudio, autorregulación del aprendizaje y desempeño académico en estudiantes universitarios

2016 ◽  
pp. 142-166 ◽  
Author(s):  
Dra. Martha Leticia Gaeta González ◽  
Dra. Judith Cavazos Arroyo
Keyword(s):  
Academic Performance ◽  
Learning Strategies ◽  
Structural Equations ◽  
Learning Processes ◽  
Use Of Self ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Structural Equations Model ◽  
The Relationship ◽  
Estudiantes Universitarios

En este trabajo se buscó evaluar en qué medida el tener un rendimiento académico alto, medio o bajo se relaciona con el tiempo dedicado al estudio, los procesos de autorregulación del aprendizaje y el desempeño académico posterior. La investigación se realizó con una muestra de 735 estudiantes universitarios (75% varones y 25% mujeres), con una edad media de 20 años (DT = 1.53). Se contrastó un modelo explicativo de relación entre las variables de estudio mediante el modelado de Ecuaciones Estructurales (SEM) multigrupo. Los resultados muestran que el modelo propuesto explica una buena parte de las relaciones entre las variables que lo integran. De manera específica, los alumnos con promedio más alto dedican más tiempo al estudio, que se asocia con una mayor percepción de capacidad para autorregular el aprendizaje así como con la utilidad percibida y un mayor uso de estrategias de autorregulación, lo cual repercute en el rendimiento académico posterior. AbstractThe objective of this work is to evaluate the importance of a high, average or low academic performance with respect to study time, self–regulated learning processes and later academic performance. The research was based on a sample of 735 university students (75% male and 25% female), with an average age of 20 years (DT = 1.53). An explanatory model of the relationship between study variables was contrasted using a multigroup structural equations model (SEM). The results show that the model proposed explains a good part of the relationships among the variables that comprise it. Generally speaking, students with an initial higher average dedicate more time to study. This is associated with a greater perception of a capacity to self–regulate learning, as well as with a perception of usefulness and a greater use of self–regulated learning strategies, which in turn affects later academic performance. Recibido: 31 de noviembre de 2015Aceptado: 24 de abril de 2016

scholarly journals The relationship between self-regulated learning strategies and students' academic performance in English course

2021 ◽  
Vol 15 (7) ◽  
pp. 2261-2263
Author(s):  
Helia Nodeh
Keyword(s):  
Academic Performance ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Pearson Correlation ◽  
Statistical Population ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Education Academic ◽  
Keywords Education ◽  
The Relationship

This study examines the relationship between self-regulated learning strategies and students' academic performance in English courses. The research method is descriptive-correlational. The statistical population includes all students of Azad University, Gorgan branch in the period 2020-2021. convenience sampling based on the Morgan table is used to select 384 people. The data collection tool is Zimmerman and Martinez-Pons Self-Regulated Learning Interview Schedule (1998), and for academic performance, the average grade in English course in two semesters was taken into account. Pearson correlation analyzes the data. The results show a significant relationship between self-regulated learning strategies and the academic performance of English course students. Keywords: education, academic performance, learning strategy

scholarly journals The relationship between flexible and self-regulated learning in open and distance universities

2012 ◽  
Vol 13 (2) ◽  
pp. 101 ◽  
Author(s):  
Per Bernard Bergamin ◽  
Simone Ziska ◽  
Egon Werlen ◽  
Eva Siegenthaler
Keyword(s):  
Learning Strategies ◽  
Learning Style ◽  
Time Management ◽  
Flexible Learning ◽  
Self Regulated Learning ◽  
Positive Effects ◽  
Regulated Learning ◽  
The Face ◽  
High Flexibility ◽  
The Relationship

<p>Flexibility in learning provides a student room for volitional control and an array of strategies and encourages persistence in the face of difficulties. Autonomy in and control over one’s learning process can be seen as a condition for self-regulated learning. There are a number of categories and dimensions for flexible learning; following professional publications, time, location, lesson content, pedagogy method, learning style, organization, and course requirements are all elements to consider. Using these categories and the dimensions of flexible learning, we developed and validated a questionnaire for an open and distance learning setting. This article reports on the results from a study investigating the relationship between flexible learning and self-regulated learning strategies. The results show the positive effects of flexible learning and its three factors, time management, teacher contact, and content, on self-regulated learning strategies (cognitive, metacognitive, and resource-based). Groups that have high flexibility in learning indicate that they use more learning strategies than groups with low flexibility.</p>

scholarly journals Self-Regulated Learning: the essential factor for understanding and improving academic and clinical performance

2020 ◽  
Vol 30 (1) ◽  
pp. 36232
Author(s):  
John Sandars
Keyword(s):  
Goal Setting ◽  
Clinical Performance ◽  
Learning Processes ◽  
Use Of Self ◽  
Essential Factor ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
The Social ◽  
Regulated Learning ◽  
Improved Performance

There is increasing interest in the importance of Self-Regulated Learning for the improvement of academic and clinical performance. Self-Regulated Learning is a dynamic and cyclical metacognitive process that coordinates an individual’s skill (techniques) and will (motivation) to achieve a clearly defined task. There are differences in key Self-Regulated Learning processes between high and low performers, especially goal setting and self-monitoring. Formative feedback on the use of key Self-Regulated Learning processes, which can be identified using microanalysis before, during and after an individual performs a specific task, can lead to improved performance. There is increasing awareness of the importance of both the social and educational environment on the use of Self-Regulated Learning, including the essential influence of the teacher. 

scholarly journals The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses

2020 ◽  
Vol 21 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Daeyeoul Lee ◽  
Sunnie Lee Watson ◽  
William R Watson
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Task Value ◽  
Future Research ◽  
Use Of Self ◽  
Massive Open Online ◽  
Positive Correlation ◽  
Self Regulated Learning ◽  
Significant Difference ◽  
Regulated Learning

This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings.

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