Self-Regulated Learning: The Role of Environmental Perceptions and Motivational Beliefs

2010 ◽  
Vol 107 (1) ◽  
pp. 303-317 ◽  
Author(s):  
Alinaghi Kharrazi ◽  
Hossein Kareshki
Keyword(s):  
Structural Equation ◽  
Goal Orientations ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Environmental Perceptions ◽  
Motivational Beliefs ◽  
Self Regulated Learning ◽  
Classroom Activities ◽  
Proposed Model ◽  
Regulated Learning

To examine the correlations among environmental perceptions, motivational beliefs, and self-regulated learning of Tehran third-year high school boys based on a proposed model, multistage cluster-sampling method gave a sample of 685 students. The Motivated Strategies for Learning Questionnaire (Pintrich & De Groot, 1990), Students' Achievement Goal Orientations (Midgley, Kaplan, Middleton, Maehr, Urdan, Anderman, et al., 1998), Students' Perceptions of Classroom Activities (Gentry, Gable, & Rizza, 2002), and Perceptions of Parents Scales (Grolnick, Deci, & Ryan, 1997) were administered. Analysis showed relations among components of self-regulated learning, family environmental perceptions, perceptions of classroom activities, and motivational beliefs. Structural equation modeling indicated the proposed model had an acceptable fit to the data. All paths or structural coefficients of the proposed model were statistically significant.

scholarly journals Higher Education in Times of COVID-19: University Students’ Basic Need Satisfaction, Self-Regulated Learning, and Well-Being

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110031
Author(s):  
Julia Holzer ◽  
Marko Lüftenegger ◽  
Selma Korlat ◽  
Elisabeth Pelikan ◽  
Katariina Salmela-Aro ◽  
...  
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Positive Emotion ◽  
Well Being ◽  
Need Satisfaction ◽  
Learning Motivation ◽  
Equation Modeling ◽  
Minor Effect ◽  
Self Regulated Learning ◽  
Regulated Learning

In the wake of COVID-19, university students have experienced fundamental changes of their learning and their lives as a whole. The present research identifies psychological characteristics associated with students’ well-being in this situation. We investigated relations of basic psychological need satisfaction (experienced competence, autonomy, and relatedness) with positive emotion and intrinsic learning motivation, considering self-regulated learning as a moderator. Self-reports were collected from 6,071 students in Austria (Study 1) and 1,653 students in Finland (Study 2). Structural equation modeling revealed competence as the strongest predictor for positive emotion. Intrinsic learning motivation was predicted by competence and autonomy in both countries and by relatedness in Finland. Moderation effects of self-regulated learning were inconsistent, but main effects on intrinsic learning motivation were identified. Surprisingly, relatedness exerted only a minor effect on positive emotion. The results inform strategies to promote students’ well-being through distance learning, mitigating the negative effects of the situation.

A Child’s Family Relationship and Emotional Well-Being through Self-Regulated Learning in South Korea

2018 ◽  
Vol 10 (1) ◽  
pp. 1-23
Author(s):  
Youngbae Yun ◽  
Jihye Choi
Keyword(s):  
South Korea ◽  
Family Conflict ◽  
Structural Equation ◽  
Family Relationship ◽  
Well Being ◽  
Equation Modeling ◽  
School Students ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
6Th Graders

This paper focuses on the relationship between a child’s family relationship, emotional well-being, and self-regulated learning in Korea. The sample of this study consisted of 527 elementary school students who were selected from three different schools in South Korea. The data were collected using the family relationship scale, the self-regulated learning scale, and the emotional well-being scale. The results showed that the structural equation modeling analysis was a good model fit to indices. Family relationship such as cohesion or conflict had a direct and indirect effect on a student’s emotional well-being. Also, family cohesion and family conflict indirectly influenced a child’s emotional well-being through self-regulated learning. It was also evident that there were significant grade differences in the students' emotional well-being where 5th graders had higher positive emotions than 6th graders and 6th graders had higher family conflict than 5th graders. To sum up the findings, there was clear evidence that a positive family relationship predicted a student’s emotional well-being directly and anticipated a child’s emotional well-being indirectly through self-regulated learning.

scholarly journals Higher Education Instructors’ Usage of and Learning From Student Evaluations of Teaching – Do Achievement Goals Matter?

2021 ◽  
Vol 12 ◽  
Author(s):  
Julia Hein ◽  
Stefan Janke ◽  
Raven Rinas ◽  
Martin Daumiller ◽  
Markus Dresel ◽  
...  
Keyword(s):  
Higher Education ◽  
Achievement Goals ◽  
Structural Equation ◽  
Online Survey ◽  
Student Evaluations ◽  
Equation Modeling ◽  
Student Evaluations Of Teaching ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Avoidance Goals

Identifying what motivates and hinders higher education instructors in their self-regulated learning from student evaluations of teaching (SETs) is important for improving future teaching and facilitating student learning. According to models of self-regulated learning, we propose a model for the usage of SETs as a learning situation. In a longitudinal study, we investigate the associations between achievement goals and the usage of and learning from SETs in the context of higher education. In total, 407 higher education instructors (46.4% female; 38.60 years on average) with teaching commitments in Germany or Austria reported their achievement goals in an online survey. Out of these participants, 152 instructors voluntarily conducted SET(s) and subsequently reported their intentions to act on the feedback and improve future teaching in a short survey. Using structural equation modeling, we found, in line with our hypotheses, that learning avoidance, appearance approach, and appearance avoidance goals predicted whether instructors voluntarily conducted SET(s). As expected, learning approach and (avoidance) goals were positively associated with intentions to act on received SET-results and improve future teaching. These findings support our hypotheses, are in line with assumptions of self-regulated learning models, and highlight the importance of achievement goals for instructors’ voluntary usage of and intended learning from SET(s). To facilitate instructors’ learning from SET-results, our study constitutes a first step for future intervention studies to build on. Future researchers and practitioners might support instructors’ professional learning by encouraging them to reflect on their SET-results.

An Integrative Model of Self-Regulated Learning for University Students: The Contributions of Social Cognitive Theory of Carriers

2020 ◽  
pp. 002205742090437
Author(s):  
Mauricio Federico Zalazar-Jaime ◽  
Leonardo Adrián Medrano
Keyword(s):  
Structural Equation ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Empirical Support ◽  
Integrative Model ◽  
Equation Modeling ◽  
Self Reflection ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Social Cognitive Career

Self-regulated learning (SRL) has gained increasing interest in educational research. Although SRL models agree on the dynamic interplay between forethought, performance, and self-reflection processes, they differ in the subprocesses implied at each phase. The main objectives of this study were to develop and test an SRL model by integrating main contributions of social cognitive career theory and Zimmerman’s SRL model in a sample of undergraduates in Argentina. Structural equation modeling showed that three models fitted well to the data, explaining between 21% and 34% of the variance. The results of this study provide theoretical and empirical support for the SRL model.

Toward Measuring Adolescent Environmental Perception

1999 ◽  
Vol 4 (3) ◽  
pp. 139-151 ◽  
Author(s):  
Franz X. Bogner ◽  
Michael Wiseman
Keyword(s):  
Structural Equation Modeling ◽  
Secondary School ◽  
Latent Variables ◽  
Structural Equation ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Environmental Perceptions ◽  
Factor Analyses ◽  
Structural Relationships ◽  
Proposed Model

This study presents a scale developed to measure two dimensions of environmental perceptions—reactions towards preservation and towards utilizing nature and/or the environment—consisting of two and three subscales, respectively. The empirical part consists of a reanalysis of data from four national samples, now analyzed together as one sample. The results of the four subsamples (of some 4,500 secondary school pupils in total) have been published elsewhere as bilateral studies. The aim of the present analysis is to identify a scale that is valid for the entire European sample: By means of factor analyses and structural equation modeling 20 items were extracted. Two latent variables, “Utilization” and “Preservation,” were hypothesized and related in a causal fashion, whereby “Utilization” influences “Preservation.” By application of the methods of linear structural relationships, the proposed model yields a good fit to the data.

scholarly journals PENGARUH LINGKUNGAN SOSIAL TERHADAP ASPEK INDIVIDU DAN HUBUNGANNYA DENGAN PRESTASI AKADEMIK MAHASISWA PENDIDIKAN MATEMATIKA

2015 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Abul Walid ◽  
Hartono Hartono
Keyword(s):  
Academic Achievement ◽  
Mathematics Education ◽  
Social Environment ◽  
Self Efficacy ◽  
Structural Equation ◽  
T Test ◽  
Equation Modeling ◽  
Academic Procrastination ◽  
Self Regulated Learning ◽  
Regulated Learning

Penelitian ini bertujuan untuk mendeskripsikan model pengaruh lingkungan sosial terhadap aspek individu (prokrastinasi akademik, self-regulated learning, dan self-efficacy) dan hubungannya dengan prestasi akademik mahasiswa pendidikan matematika. Populasi penelitian ini sebanyak 1.285 mahasiswa pendidikan matematika di tiga perguruan tinggi di Kota Jambi. Sampel dipilih dengan cara purposif bersamaan dengan stratifikasi dua angkatan mahasiswa pendidikan matematika, selanjutnya diambil secara acak 260 mahasiswa sebagai subjek penelitian. Pengumpulan data menggunakan skala Likert. Validitas instrumen menggunakan validitas isi dan validitas konstruk. Teknik analisis data yang digunakan adalah model persamaan struktural (SEM), analisis faktor konfirmatori (CFA), dan t-test. SEM dan CFA digunakan untuk menguji secara kuantitatif model kausalitas simultan variabel penelitian baik secara langsung maupun tidak langsung serta menguji apakah konstruk teoritis yang dimodelkan didukung oleh data yang dikumpulkan, sedangkan t-test digunakan untuk menguji secara statistik perbedaan rata-rata skor setiap variabel dilihat dari gender. Hasil penelitian ini menunjukkan bahwa model persaman struktural yang dikembangkan sesuai dengan data yang dikumpulkan. Gender berpengaruh terhadap perbedaan setiap variabel, kecuali alasan penundaan. Hasil penelitian ini juga menunjukkan bahwa terdapat pengaruh lingkungan sosial terhadap aspek individu (prokrastinasi akademik, self-regulated learning dan self-efficacy) dan terdapat hubungannya dengan prestasi akade-mik mahasiswa pendidikan matematika. Kata Kunci: SEM, prestasi akademik, prokrastinasi akademik, self-regulated learning, self-efficacy, dan lingkungan sosial.   THE EFFECTS OF SOCIAL ENVIRONMENT ON INDIVIDUAL ASPECTS AND THEIR RELATIONSHIP WITH THE ACADEMIC ACHIEVEMENT OF THE STUDENTS OF MATHEMATICS EDUCATION DEPARTMENTS Abstract This study aims to describe the models of the effect of social environment on individual aspects (academic procrastination, self-regulated learning, and self-efficacy) and their relationship with the academic achievement of the students of mathematics education departments. The population was 1.285 under graduate students of mathematics education departments at three universities in Jambi. The sample was established purposively along with the stratification sampling, from which subsequent subjects were randomly selected 260 students from the population. The data were collected through Likert-scale. The instrument validity was in term of the content validity and construct validity. The data were analyzed using the structural equation modeling (SEM), confirmatory factor analysis (CFA), and t-test. SEM and CFA were used to test quantitatively the model of simultaneous causality, either directly or indirectly and to test whether the theoretical constructs were supported by the data collected, while the t-test were used to find out statistically the differences of the mean score of each variable  in terms of gender. The result of the study shows that the structural equation model developed appropriate (fit) with the data collected. It was found that gender affects the differences in all variables, except the reasons for procrastination. The result also indicate that there are effect of social environment on individual aspects (academic procrastination, self-regulated learning, and self-efficacy) and there is relationship with the academic achievement of the students of mathematics education departments. Keywords: SEM, academic achievement, academic procrastination, self-regulated learning, self-efficacy, and social environment

scholarly journals Parental Social Support and Achievement Motivation on Self-Regulated Learning Strategy with an Interest as a Mediator Variable

2021 ◽  
Vol 10 (3) ◽  
pp. 581
Author(s):  
Dhanu Saputra ◽  
Daliman Daliman
Keyword(s):  
Social Support ◽  
Achievement Motivation ◽  
Significant Influence ◽  
Structural Equation ◽  
Cognitive Theory ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Mediator Variable

Social cognitive theory explains how the individual's environment can influence the emergence of intrinsic motivation which can encourage students to be able to learn independently and be able to achieve learning goals. This study aims to analyze the effect of parental social support and achievement motivation with self-regulated learning with interest as a mediator variable. This research was conducted in 3 different schools. The number of the population in this study amounted to 730 students. While the number of samples used was 288 students. The sampling technique in this study used purposive sampling technique with the criteria for assessing favorite, ordinary and less favorite schools based on the assessment of the surrounding community. The data analysis technique used is the Structural Equation Modeling (SEM) model with the AMOS program. The results of this study indicate that there is a significant influence between social support and achievement motivation on interest. There is a significant influence between social support, achievement motivation and interest in self-regulated learning. There is an influence between social support and achievement motivation on self-regulated learning through interest variables. Students who have high motivation tend to apply high self-regulated learning so that students are encouraged to improve their performance, have the courage to take risks, are creative, and innovative. This can be used as a theoretical and empirical reference in developing student learning independence.

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