scholarly journals Structural relationships between self-regulated learning, teachers’ credibility, information and communications technology literacy and academic performance in blended learning

2021 ◽  
pp. 46-63
Author(s):  
Liang Yu ◽  
Shijian Chen ◽  
Mimi Recker
Keyword(s):  
Academic Performance ◽  
Blended Learning ◽  
Information And Communications Technology ◽  
Technology Literacy ◽  
Communications Technology ◽  
Ict Literacy ◽  
Self Regulated Learning ◽  
Structural Relationships ◽  
Regulated Learning ◽  
The Impact

This study investigated the structural relationships between self-regulated learning, teachers’ credibility, information and communications technology (ICT) literacy and academic performance in blended learning. The study sample comprised of 449 undergraduates who completed blended courses within the past 3 years and consisted of 53% males (N = 238) and 47% females (N = 211). Participants anonymously completed a 41-item questionnaire examining their self-regulated learning, perceptions of their teachers’ credibility, ICT literacy, academic performance and demographic background. Path analyses indicated that the relationship between subscales of teacher credibility (caring and trustworthiness) significantly related to academic performance except for competence. In addition, caring positively predicted trustworthiness, and ICT literacy predicted self-regulated learning. Self-regulated learning positively related to caring, trustworthiness and academic performance. The findings also highlighted that both caring and trustworthiness mediated the impact of self-regulated learning on academic performance.

The Role of Self-Regulated Learning in Enhancing Conceptual Understanding of Rate of Chemical Reactions

2010 ◽  
pp. 248-267
Author(s):  
Eunice Eyitayo Olakanmi ◽  
Canan Blake ◽  
Eileen Scanlon
Keyword(s):  
Academic Performance ◽  
Chemical Reactions ◽  
Simulation Environment ◽  
Self Regulated Learning ◽  
Computer Based Learning ◽  
Starting Point ◽  
Regulated Learning ◽  
Computer Based ◽  
The Impact

The authors have investigated the effects of self-regulated learning (SRL) prompts on the academic performance of 30 year 9 students (12-13 year olds) learning science in a computer-based simulation environment by randomly assigning participants to either a SRL prompted or non-SRL prompted group. Mixed methods approaches were adopted for data collection and data analysis. Students in the SRL prompted group were given activity sheets which contained SRL prompts, whereas students in the non-SRL prompted group received no SRL-prompts in their activity sheets but some general prompts regarding how to follow the activity sheet. The incorporation of SRL prompted instructions into a computer-based simulation environment that teaches the rates of chemical reactions facilitated the shift in learners’ academic performance more than the non-SRL-prompted condition did. This shift was associated with the presence of the SRL behavioural prompts in the activity sheets. This study is a starting point in understanding the impact of the application of SRL-prompted instructions to the teaching of topics in a computer-based learning environment with a view to improving students’ academic attainment.

Psychological Features of the Models of Self-regulated Learning

Diogenes ◽  
2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Yoana Yankulova ◽  
Keyword(s):  
Academic Performance ◽  
Self Regulation ◽  
Learning Abilities ◽  
Self Regulated Learning ◽  
Scientific Analysis ◽  
Regulated Learning ◽  
Personal Wellbeing ◽  
Psychological Features ◽  
The Impact ◽  
Active Commitment

This theoretical review presents classic and modern attempts to define and interpret self-regulated learning by identifying its more important essential and differential characteristics. All this is done in the light of the shifting focus of scientific analysis from individual learning abilities and the impact of the environment as “fixed” wholes, to manifestations of initiative, perseverance, active commitment and self-regulation designed to enhance personal wellbeing, academic performance and improve the organization of learning and selfpreparation. Specifically, individual psychological aspects are presented in three of the most popular models of self-regulated learning, developed respectively by В. Zimmerman, M. Boekaerts, P. Pintrich.

scholarly journals PENINGKATAN SELF REGULATED LEARNING MAHASISWA DI ERA DIGITAL MELALUI PEMBELAJARAN BLENDED LEARNING

2017 ◽  
Vol 5 (1) ◽  
pp. 31
Author(s):  
Sucipto Sucipto
Keyword(s):  
Literature Review ◽  
Learning Environment ◽  
Blended Learning ◽  
Empirical Studies ◽  
Self Regulation ◽  
Self Control ◽  
Self Regulated Learning ◽  
Self Confidence ◽  
Regulated Learning ◽  
The Impact

Some students have not shown the ability to regulate themselves (self regulated learning) about how to learn. This is part of the impact of conventional learning. Blended learning is a learning model that is widely developed in college. This model provides opportunities for students to learn actively by self-regulation, self-control, self-motivation, and develop self-confidence, and choose or manage their own learning environment to support the effectiveness of learning. This study is based on literature review. Based on some empirical studies, it is concluded that the application of this model can improve self regulated learning learners. Keywords: blended learning, self regulated learning, conventional learning

Impact of self-regulated learning on academic performance and satisfaction of students in the online environment

2019 ◽  
pp. 345-363 ◽  
Keyword(s):  
Academic Performance ◽  
Goal Setting ◽  
Positive Impact ◽  
Social Dimension ◽  
Online Environment ◽  
Self Regulated Learning ◽  
Five Factors ◽  
Regulated Learning ◽  
Students Satisfaction ◽  
Important Milestone

The concept of self-regulated learning (SRL) hasn’t been researched enough in Bosnia and Herzegovina (B&H) and hence this study represents an important milestone in understanding this concept in this context. The conducted research was initiated with the presupposition that SRL had a positive impact on satisfaction and academic performance of students. In order to prove the goals of the research, two main hypotheses were formulated. The results of the exploratory factor analysis (EFA) have shown that the statements within SRL are grouped into five factors: goal-setting, metacognition, environment structuring, computer self-efficacy and social dimension. Multiple regression analysis proved that 4 of 5 factors have a positive impact on satisfaction and academic performance of students. Only goal-setting yielded no significance on the two aforementioned variables, while remaining four factors showed a significant influence on students’ satisfaction and academic performance.

scholarly journals Self-regulated learning as a predictor of mathematics and reading performance: A picture of students in Grades 5 to 8

2019 ◽  
Vol 63 (1) ◽  
pp. 74-97 ◽  
Author(s):  
Susan-Marie Harding ◽  
Narelle English ◽  
Nives Nibali ◽  
Patrick Griffin ◽  
Lorraine Graham ◽  
...  
Keyword(s):  
Reading Comprehension ◽  
Reading Performance ◽  
Learning Skills ◽  
Self Regulated Learning ◽  
Performance Differences ◽  
Age Related ◽  
Regulated Learning ◽  
And Performance ◽  
The Impact ◽  
Learning And Performance

Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian students from Grades 5 to 8 completed mathematics or reading comprehension assessments and self-regulated learning questionnaires, with each response ranked on a hierarchy of quality. All assessments were psychometrically analysed and validated. In each cohort and overall, higher performing students reported higher levels of self-regulated learning. Still, age-related differences outweighed performance differences, resulting in significantly lower reported usage of self-regulated learning skills in Grade 7 students compared to those in Grades 5, 6 and 8. These findings suggest that either age or school organisational differences mediate students’ self-regulated learning, counteracting ability-related associations.

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