scholarly journals The Relationship between English Language Learner Characteristics and Online Self-regulation: A Structural Equation Modeling Approach

2020 ◽  
Vol 12 (7) ◽  
pp. 3009 ◽  
Author(s):  
Wei Wang ◽  
Ju Zhan
Keyword(s):  
Structural Equation Modeling ◽  
English Learners ◽  
Structural Equation ◽  
Self Regulation ◽  
Learning Motivation ◽  
Equation Modeling ◽  
English Learning ◽  
Learner Characteristics ◽  
Learner Beliefs ◽  
Learning Anxiety

Learner beliefs, anxiety, and motivation are three common learner characteristics. They have consistently been found to account for language learning performance. Meanwhile, self-regulation is critical in sustaining online learners’ continuous efforts and predicting their learning outcomes. Despite the massive and rapidly increasing number of online English learners, few studies have clarified the assumed relationships between learner characteristics (learner beliefs, anxiety, motivation) and self-regulation in the online English learning context. This study aims to fill the gap by conducting structural equation modeling analysis to examine their relations. To fulfill the research purpose, we adopted the previous questionnaires with sufficient reliability as instruments to evaluate students’ online English learner beliefs, learning anxiety, learning motivation and online self-regulated English learning. The valid responses collected from 425 Chinese undergraduate university students enrolled in an online academic English writing course provided the data source. The results indicated that learner beliefs positively predicted, while learning anxiety negatively predicted, online self-regulated English learning. Online English learning motivation was a mediator in these associations. The findings suggested that stronger learner beliefs of self-efficacy and perceived value of English learning promoted learning motivation and self-regulation. In contrast, higher learning anxiety, such as test anxiety and fear of negative evaluation, harmed learners’ motivation and their online self-regulated English learning.

The Irritation Scale as an Instrument to Measure Stress among University Students

2013 ◽  
Vol 16 ◽  
Author(s):  
Enrique Merino-Tejedor ◽  
Joan Boada-Grau ◽  
José C. Sánchez-García ◽  
Pedro Miguel Hontangas-Beltrán
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Self Regulation ◽  
Equation Modeling ◽  
International Studies ◽  
Two Factors ◽  
Workplace Setting ◽  
General Self Efficacy

AbstractThe objective of this study was to verify the factor validity and structure of the “Irritation Scale” in a sample of 578 Spanish university students. At the same time, the study aimed to verify the criterion-related validity of the scale, analyzing the results obtained through correlation with other variables, such as general self-efficacy, self-regulation, depression, and certain personality dimensions. The results obtained through the Exploratory Structural Equation Modeling approach (ESEM) using Mplus confirmed the presence of two factors in the Irritation Scale, as observed in other international studies within a workplace setting. The significant correlations obtained between the Irritation Scale and the variables considered in the study confirmed the construct validity and verified that irritation is significantly and positively associated with depression and academic burnout, and is negatively associated with general self-efficacy and self-regulation.

scholarly journals Effect of practical training on the learning motivation profile of Japanese pharmacy students using structural equation modeling

2017 ◽  
Vol 14 ◽  
pp. 2 ◽  
Author(s):  
Shigeo Yamamura ◽  
Rieko Takehira
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Training Programs ◽  
Group Analysis ◽  
Learning Motivation ◽  
Self Determination ◽  
Pharmacy Students ◽  
Equation Modeling ◽  
Practical Training ◽  
Multiple Group

Purpose: To establish a model of Japanese pharmacy students’ learning motivation profile and investigate the effects of pharmaceutical practical training programs on their learning motivation. Methods: The Science Motivation Questionnaire II was administered to pharmacy students in their 4th (before practical training), 5th (before practical training at clinical sites), and 6th (after all practical training) years of study at Josai International University in April, 2016. Factor analysis and multiple-group structural equation modeling were conducted for data analysis. Results: A total of 165 students participated. The learning motivation profile was modeled with 4 factors (intrinsic, career, self-determination, and grade motivation), and the most effective learning motivation was grade motivation. In the multiple-group analysis, the fit of the model with the data was acceptable, and the estimated mean value of the factor of ‘self-determination’ in the learning motivation profile increased after the practical training programs (P= 0.048, Cohen’s d= 0.43). Conclusion: Practical training programs in a 6-year course were effective for increasing learning motivation, based on ‘self-determination’ among Japanese pharmacy students. The results suggest that practical training programs are meaningful not only for providing clinical experience but also for raising learning motivation.

scholarly journals LEARNING ENVIRONMENT, STUDENTS’ BELIEFS, AND SELF-REGULATION IN LEARNING PHYSICS: STRUCTURAL EQUATION MODELING

2019 ◽  
Vol 18 (3) ◽  
pp. 389-403 ◽  
Author(s):  
Maison Maison ◽  
Syahrial ◽  
Syamsurizal ◽  
Tanti
Keyword(s):  
Structural Equation Modeling ◽  
Learning Environment ◽  
Structural Equation ◽  
Self Regulation ◽  
The Self ◽  
Self Report ◽  
Equation Modeling ◽  
Public High Schools ◽  
Affective Component ◽  
Research Areas

Studies of correlations between students’ beliefs and various aspects of student learning become one of the fastest growing research areas in the field of education and psychology. The aim of the current research was to analyze the correlations between learning environments, students' beliefs, and self-regulation in learning physics through structural equation modeling (SEM). There were 1010 students from the existing five public high schools in Jambi city, Indonesia, participating in the research. Three self-report questionnaires including (1) WIHIC, (2) CLASS, and (3) MSLQ were used to collect the research data. The data analysis showed that students’ beliefs were significantly and positively correlated with multiple dimension of self-regulation in learning physics (critical thinking and peer learning); while the dimension of sense-making and problem-solving ability significantly related to the affective component of self-regulation (test anxiety). However, the dimension of students’ beliefs did not have any significant effect on all of the self-regulation components. Additionally, learning environment dimensions were significantly related to students’ beliefs about physics on the dimension of conceptual connection and related to all of the self-regulation dimensions. Keywords: learning environment, self-regulation, students' beliefs, structural equation modeling.

scholarly journals FACTORS AFFECTING ENGLISH LEARNING OUTCOMES -APPLYINGSTRUCTURAL EQUATION MODELING (SEM)

2021 ◽  
Vol 9 (4) ◽  
pp. 911-916
Author(s):  
Pham Hong Nhung ◽  
◽  
Nguyen Tung Linh ◽  
Vu Trong Luong ◽  
Tang Thi Thuy ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Retrospective Analysis ◽  
Learning Outcomes ◽  
Research Methods ◽  
Structural Equation ◽  
Foreign Languages ◽  
Equation Modeling ◽  
English Learning ◽  
Factors Affecting ◽  
Modeling Methods

This study aims to present an overview of researches on factors affecting the results of students learning foreign languages, especially English, from previous studies. The results of retrospective analysis of documents and studies have shown the gaps of research methods in analyzing the factors affecting English learning outcomes of students and recommended the use of structural equation modeling methods (SEM) to predict students English learning outcomes based on both subjective and objective factors.

Adoption of Multi-screen Multitasking in Young Generation of China

2020 ◽  
Vol 16 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Shahid Kalim Khan ◽  
Li Guoxin
Keyword(s):  
Social Psychology ◽  
Structural Equation Modeling ◽  
Theoretical Basis ◽  
System Approach ◽  
Structural Equation ◽  
Self Regulation ◽  
Dual System ◽  
Equation Modeling ◽  
Young Generation ◽  
Impulsive Forces

Presently, people are increasingly becoming screen jugglers and frequently involving multitasking through multiple screens. The current study is focused on explaining multi-screen multitasking behavior of the younger generation in China. People like to self-regulate their routine behaviors to be productive and organized. Recent research in social psychology suggests that self-regulation occurs both deliberately and intuitively. This dual system approach of self-regulation promotes the idea that both reflective and impulsive forces are involved in determining human behavior. Owing to this conception, the present research opted for a dual system approach of self-regulation as the theoretical basis. Empirical data has been collected from university students in China and a total of 345 responses have been used for the analysis which has been performed through structural equation modeling in SmartPLS 3.0. The results indicate that the factors of both deliberative and automatic self-regulation are effective in determining multi-screen multitasking behavior.

Sign in / Sign up

Export Citation Format

Share Document