The role of students’ interests in self-regulated learning: The relationship between students’ interests, learning strategies and causal attributions

2009 ◽  
Vol 24 (4) ◽  
pp. 545-565 ◽  
Author(s):  
Izabela SoriĆ ◽  
Marko PalekčiĆ
Keyword(s):  
Learning Strategies ◽  
Causal Attributions ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Relationship

Students’ Perceptions of a 3D Virtual Environment Designed for Metacognitive and Self-Regulated Learning in Science

2013 ◽  
pp. 1-25
Author(s):  
Jody Clarke-Midura ◽  
Eugenia Garduño
Keyword(s):  
Learning Strategies ◽  
Causal Effect ◽  
Inquiry Learning ◽  
Science Inquiry ◽  
Authentic Science ◽  
Authentic Inquiry ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The Relationship

Immersive and 3D virtual environments have the potential to offer more authentic science inquiry learning that allows for metacognitive and self-regulated learning strategies. While metacognition and self-regulated learning are important for science inquiry learning, little research exists on linking these skills with students’ experience in a 3D immersive environment designed to teach science inquiry. The authors conducted two studies to explore how curricula delivered via immersive technologies have the potential to create learning experiences that allow for authentic inquiry learning and enable metacognitive processes and self-regulated learning. In the first study, they examined the relationship between students’ metacognition and their self-identified experience with the curriculum. The authors found a relationship between students’ metacognition and feeling like a scientist and like they were participating in authentic science (conducting an experiment). These findings influenced the design of a treatment that contains embedded metacognitive and self-regulated learning scaffolds. In their second study, the authors examined the causal effect of the treatment on students’ self-identified experience with the curriculum. They found that students who participated in the treatment identified with the role of a scientist and felt like they were doing authentic science.

scholarly journals The role of self-regulated learning Strategies on learners’ Satisfaction in Massive Open Online Course (MOOC): Evidence from Malaysia MOOC

2019 ◽  
Vol 8 (10) ◽  
pp. 2286-2290
Keyword(s):  
Learning Strategies ◽  
Help Seeking ◽  
Partial Least Square ◽  
Least Square ◽  
Learning Context ◽  
Massive Open Online ◽  
Diverse Range ◽  
Self Regulated Learning ◽  
Regulated Learning

Learning in Massive Open Online Courses (MOOCs) necessitates learners to be capable of self-regulating their learning in order to oversee and adapt their behaviour and actions in certain learning settings. Studies have highlighted that learners who have good control of self-regulation in their learning, either formal or informal learning contexts, utilise more competent learning strategies in online learning context. Nevertheless, MOOCs attract a diverse range of learners, each with different experience and satisfaction. The aim of this study is to examine the role of self-regulated learning (SRL) and its components (time management, planning, self-evaluation, and help-seeking) on learners’ satisfaction in MOOC. Data were collected from 281 learners of a Malaysia MOOC namely Asas Keusahawanan (Introduction to Entrepreneurship), in the second semester of the Malaysian universities academic calendar. A cross-sectional web-based survey was applied and a Partial Least Square (PLS) approach was use for analysing data. Findings indicated that all of SRL components except help-seeking are important factors for explaining learners’ satisfaction in a MOOC. This study provides useful suggestions for the course designers of MOOCs platforms, and the facilitators in engaging learners with suitable SRL strategies and increase the level of course satisfaction.

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 The Moderating Role of Personal Profiles on the Relationship between Multicultural Awareness and Self-Regulated Learning

2020 ◽  
Vol 1 ◽  
pp. 1-11
Author(s):  
Fifi Khoirul Fitriyah ◽  
M. Sukron Djazilan ◽  
Nopriadi Saputra ◽  
Mokhamad Sodikin ◽  
Umi Anugerah Izzati
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Multicultural Awareness ◽  
P Value ◽  
Path Coefficient ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
The University ◽  
The Relationship

Multicultural awareness is very crucial for every student, as well as self-regulated learning. Until now, research on these two variables is still min-imal. Moreover, there are no studies that examine the factors that influence the relationship between the two variables. This study aims to explore the relation-ship between multicultural awareness and self-regulated learning in students and discuss the role of students' personal profile in the relationship between the vari-ables. The respondents of this study were 165 students of the City of Surabaya, Indonesia. The structural equation model is used for data analysis techniques. The results showed that hypothesis 1 was accepted, meaning a positive and sig-nificant effect of multicultural awareness on self-regulated learning. The path co-efficient was 0.284, while the t-statistics were more significant than 1.96 (2,544) or p-values less than 0.05 (0.011). Whereas in hypothesis 2, it is rejected, the path coefficient is -0.230 while the t-static is less than 1.96 (1,811) or the p-value is more significant than 0.05 (0.071). In conclusion, personal profiles do not affect the relationship between multicultural awareness-ness and self-regulated learn-ing. This study's recommendation is to provide information on need assessments useful in determining appropriate counseling strategies at the University.

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