scholarly journals Analysis Level of Digital Literacy of Digital Natives: How The Impact On Their Self-Regulated Learning?

2019 ◽  
Vol 3 (2) ◽  
pp. 173
Author(s):  
Syayyidah Maftuhatul Jannah
Keyword(s):  
Digital Literacy ◽  
Structural Equation ◽  
Female Students ◽  
Male Students ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Impact ◽  
Positive Effect

This study aims to analyze the level of digital literacy of millennial generation and how it affects their abilities in their learning process (self-regulated learning). Data were obtained through an online questionnaire distributed to students at several universities in Yogyakarta. The number of questionnaires that can be processed is 100 questionnaires. Furthermore, the collected data is then analyzed using Structural Equation Modeling (SEM). The results showed that the level of digital literacy of female students could be said to be higher than that of male students. However, both male and female students have not so high scores on the dimensions of critical understanding as one dimension of digital literacy. The results of this study also show that digital literacy has a positive effect on self-regulated learning.

scholarly journals Peer Learning, Self-Regulated Learning and Academic Achievement in Blended Learning Courses: A Structural Equation Modeling Approach

2020 ◽  
Vol 15 (03) ◽  
pp. 110
Author(s):  
Chee Leong Lim ◽  
Habibah Ab Jalil ◽  
Aini Marina Ma'rof ◽  
Wan Zuhainis Saad
Keyword(s):  
Academic Achievement ◽  
Blended Learning ◽  
Structural Equation ◽  
Structural Model ◽  
Peer Learning ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Learning Competencies

The ability for students to self-regulate their learning and to learn effectively with peers become two distinctive competencies in the era of the 4th Industrial Revolution. These competencies also affect academic achievement, an important variable used to measure attainment of learning outcomes. Therefore, this study was conducted to determine the influence of peer learning and self-regulated learning (SRL) strategies on students’ academic achievement. Of the 409 respondents, only 347 were valid for data analysis, forming a usable case of 84.84%. The instruments used was an online questionnaire, which was adapted from pre-existing reliable multi-item instruments. Structural Equation Model (SEM) analysis was used to examine the relationship between the constructs in the hypothesised model. Given that the structural model exhibited a good fit to the data (χ2/df = 1.697; CFI = 0.916; IFI = 0.917; TFI = 0.912; and RMSEA = 0.045), the results unveiled that students’ ability to learn with peers were found to have a positive and significant effect on academic achievement (β = 0.478, C.R. = 3.628, p = 0.000), and significantly influenced students’ SRL strategies (β = 0.793; C.R. = 6.991; p = 0.000). This study also discusses the practical implications to facilitate the development of students’ self-regulated learning (SRL) and peer learning competencies in blended learning courses.

Disposisi Matematis Dan Kemandirian Belajar Mahasiswa Pada Perkuliahan Daring Berbantuan Google Classroom Masa Covid-19

2020 ◽  
Vol 7 (2) ◽  
pp. 53-64
Author(s):  
Rizki Nurhana Friantini ◽  
Rahmat Winata
Keyword(s):  
Sampling Method ◽  
Female Students ◽  
Male Students ◽  
Study Program ◽  
Male And Female ◽  
First Semester ◽  
Self Regulated Learning ◽  
Online Lectures ◽  
Regulated Learning ◽  
Very High

This study aims to analyze the mathematical disposition and self-regulated learning of online lectures with the help of Google Classroom. This type of research is descriptive quantitative. This study's subjects were 34 students of the first semester of the Mathematics Education Study Program consisting of 11 male students and 23 female students determined by the saturated sampling method. From the research results, it can be concluded that students' mathematical disposition through learning assisted by Google Classroom has high criteria. The mathematical disposition of male and female students through learning assisted by Google Classroom has high criteria. Still, the level of mathematical disposition of male students is slightly higher than female students. Meanwhile, student self-regulated learning with the help of Google Classroom obtains very high criteria. For male and female students, both have very high learning independence criteria in carrying out learning with the help of Google Classroom.Keywords: Mathematical Disposition, Self-regulated learning, Google Classroom, Online Lectures, Gender

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 WORD OF MOUTH SEBAGAI KONSEKUENSI KEPUASAN PELANGGAN

2018 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Eny Purbandari ◽  
Dyah Sugandini ◽  
Heru Tri Sutiono
Keyword(s):  
Patient Satisfaction ◽  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
The Impact ◽  
Positive Effect

<p><em>The objective of this study is to investigate the impact of price and service quality on customer satisfaction to increase words of mouth. Data were collected by distributes questionnaires to 110 patient of Bhayangkara Polda DIY Hospital. Then, data was analyzed using structural equation modeling. The result showed that service quality, price and image have positive effect on patient satisfaction and patient satisfaction has a positive effect on words of mouth. The results also shows that image have the highest effect in creating the satisfaction. Therefore, the models of words of mouth have acceptable.</em></p>

scholarly journals The Impact of Brand Trust on Physician’s Prescription Decision Towards Prothrombin Complex Concentrate with a Special Reference to Octaplex®

2019 ◽  
Vol 15 (10) ◽  
pp. 1
Author(s):  
D. R. G. Perera ◽  
W. M. C. Bandara Wanninayake
Keyword(s):  
Relationship Marketing ◽  
Structural Equation ◽  
Quantitative Research ◽  
Positive Impact ◽  
Equation Modeling ◽  
Brand Trust ◽  
Online Questionnaire ◽  
Integral Role ◽  
The Impact ◽  
The Relationship

Management of Hemostasis is an integral role for any Intensivist in assurance of recovery of a hemorrhage patient who is often treated in an ICU, and building trust of a product segment related to such vital treatment will undoubtedly hold an utmost importance. Yet in researches and articles in current Medical Marketing setup it is found to be very limited, and in the case of Biological and Bio-Similar Marketing its almost non-existence. The purpose of this research paper is to investigate and prove the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact powered by the synergy of Relationship Marketing. The research consists of data which was collected via online questionnaire and captured the data required from the target sample cohort which is distributed via respective specialized academic colleges of their representation through email and filed online by the participants of quantitative research. Moreover, two of the main key opinion leaders (KOLs) were interviewed and qualitative data were summarized. The collected data were analyzed using Structural Equation Modeling (SEM) procedures to reach meaningful conclusions. Thereby the study proves the significant positive impact of Brand Trust on Physicians Prescription Decision and Moderation impact which synergized by Relationship Marketing. The study is an original contribution to the field of Marketing in Biological and Pharmaceutical Industry. The proposed relationships are based on Brand Trust, Physician’s Prescription Decision and Relationship Marketing. Furthermore, the Moderating effect of Relationship Marketing on the relationship between Brand Trust and Physician’s Prescription Decision is unique to this study.

scholarly journals THE RELATIONSHIP BETWEEN CUSTOMER SATISFACTION AND SECURITY TOWARD TRUST AND ITS IMPACT ON REPURCHASE INTENTION (SURVEY ON CUSTOMER OF ELEVENIA ONLINE WEBSITE)

2015 ◽  
Vol 6 (2) ◽  
pp. 599
Author(s):  
Mohammad Rizan ◽  
Kemal Abu Bakar ◽  
Basrah Saidani
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Survey Methods ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Spss Software ◽  
One Year ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The purpose of this research are to: examine empirically the effect of customer satisfaction to trust on customer, the impact of security to trust on customer, the impact of the customer satisfaction to repurchase intention on customer, the effect of security to repurchase intention on customer, the effect of trust to repurchase intention on customer, the effect of customer satisfaction to repurchase intention through trust as intervening variable on customer, the effect of security to repurchase intention through trust as intervening variable on customer of Elevenia website online. This research used survey methods for collecting data. The object of this research is 200 respondents who had purchased in Elevenia website online for a period of one year backward. This research used SPSS software version 22 and SEM (Structural Equation Modeling) LISREL version 8.7 for data analysis. Hypothesis testing showed that: the customer satisfaction has a positive effect and significance on trust, the security has a positive effect and significance on trust, the customer satisfaction has a positive effect and significance on repurchase intention, the security has a positive effect and significance on repurchase intention, the customer satisfaction has a positive effect and significance on repurchase intention through trust as intervening variable and the security has a positive effect and significance on repurchase intention through trust as intervening variable.   Keywords: Customer Satisfaction, Security, Trust, Repurchase Intention.

scholarly journals Online Study: Understanding the Laws of Self-Regulated Study

2021 ◽  
Author(s):  
Xin Rao ◽  
Li Luo ◽  
Qiaoli Su ◽  
Xingyue Wang
Keyword(s):  
Latent Variables ◽  
Teacher Support ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Medical Training ◽  
Internal Motivation ◽  
Self Regulated Learning ◽  
Online Study ◽  
Regulated Learning ◽  
The Impact

Abstract Background:The sudden COVID-19 outbreak has posed challenges to the normal development of continuing education for general practitioners. Consequently, an online medical training program for family doctors has emerged. Online study helps us better understand the laws of self-regulated learning because we can track the process and outcome of family physicians and compare it to that of face-to-face training programs. The study track the GPCC online program to reveal this principle.Results:By recording learners’ study behaviors and explore the law of learning progress and analyse the impact of latent variables on learning through structural equation models,the study find that the the impact of teacher support and supervision and of internal motivation on learning input and the influence of teacher support and supervision on internal motivation can be researched through online study.Conclusions:Online study helps us better understand the laws of self-regulated learning. It helps to better understand the impact of teacher support, supervision, and internal motivation on learning input , as well as the influence of teacher support and supervision on internal motivation. Examining online study can also help in making effective use of the self-education characteristics of internal motivation and cultivate the ability of independent thinking and learning self-discipline .

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.

scholarly journals SELF-REGULATED LEARNING AS A MEDIATOR IN THE RELATIONSHIP BETWEEN PEER LEARNING AND ONLINE LEARNING SATISFACTION: A STUDY OF A PRIVATE UNIVERSITY IN MALAYSIA

2020 ◽  
Vol 17 (Number 1) ◽  
pp. 51-75
Author(s):  
Chee Leong Lim ◽  
Habibah Ab Jalil ◽  
Aini Marina Ma'rof ◽  
Wan Zuhainis Saad
Keyword(s):  
Online Learning ◽  
Structural Equation ◽  
Peer Learning ◽  
Sem Analysis ◽  
Online Questionnaire ◽  
Mediation Effects ◽  
Self Regulated Learning ◽  
Learning Satisfaction ◽  
Regulated Learning ◽  
The Relationship

Purpose – Students’ ability to self-regulate their learning and to learn effectively with peers are indicators of success in the era of the 4th Industrial Revolution. This study investigated whether peer learning helps to influence online learning satisfaction in the presence of self-regulated learning (SRL) as a mediating variable. Methodology - The study adopted a correlational research design to examine the possibility of relationships between these variables. The sample was selected based on proportional stratified sampling method. Of the 409 respondents, only 347 were valid for data analysis, forming a usable case of 84.84%. The instrument used was an online questionnaire adapted from pre-existing reliable multi-item instruments. Structural Equation Model (SEM) analysis was used to examine the relationship between the constructs in the hypothesised model, while Bootstrapping test was applied to examine the mediation effects of SRL. Findings - From the direct effect of the SEM analysis, students’ ability to learn with peers was found to have significantly influenced their SRL strategies, while SRL strategies were found to have a positive and statistically significant effect on online learning satisfaction. Moreover, the findings from the Bootstrapping test concurred that the influence of peer learning on online learning satisfaction was fully mediated by SRL. Significance - By understanding the mediator roles played by SRL, this study hopes to provide insights for universities and course instructors to make pedagogically informed design decisions by integrating appropriate SRL strategies in the development of blended learning courses.

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