Enhancing Students’ Writing Performance through Self-Regulated Learning Strategies
The fundamental goal of education is to teach students to become self-regulated learners who actively and efficiently manage their learning processes by deploying self-regulated learning strategies. Based on this stance, the present study investigated whether these strategies predicted the writing performance of English major students. Eleven students enrolled in the Advanced Writing Skills I course at Bahir Dar University in the 2024/2025 academic year participated in this study. An interrupted time-series within-group design, by which a single group is measured multiple times both before and after the intervention, was employed. Repeated measures of ANOVA, narration, and textual analysis were used to analyze the data obtained from argumentative writing tests, diary entries, and essay excerpts, respectively. A univariate ANOVA results (F(2.295, 50) = 73.657, p < .05, ηp2= .880) revealed a significant effect of self- regulated learning strategies on writing performance. Moreover, diary entries indicated that the implementation of these strategies in EFL writing was effective in enhancing students’ writing skills. These included organization (introduction, body, conclusion, formulation of thesis sentence), mechanics, grammar, and cohesion. Regarding their progress across time, significant improvements in writing skills were observed in the first diary compared to the baseline data. Significant progress was also reported in the second diary, surpassing previous records. Additionally, textual analysis of the essays supported the finding that students made significant progress in their writing performance after the intervention. The students indeed believed that the instruction on self-regulated learning strategies was motivating, encouraging, commendable, and loving. Thus, the instructional process needs to incorporate these strategies along with the micro-analytic protocols.
122
- 10.1348/978185409x422542
- Jan 1, 2009
12
- 10.3389/fpsyg.2022.1027266
- Nov 8, 2022
- Frontiers in Psychology
3
- 10.21580/vjv8i13470
- Apr 19, 2019
- Vision: Journal for Language and Foreign Language Learning
1402
- 10.3389/fpsyg.2017.00422
- Apr 28, 2017
- Frontiers in Psychology
2730
- 10.1207/s15326985ep2501_2
- Jan 1, 1990
- Educational Psychologist
1074
- 10.1207/s15326985ep3602_4
- Jun 1, 2001
- Educational Psychologist
2
- 10.4236/jss.2023.118011
- Jan 1, 2023
- Open Journal of Social Sciences
181
- 10.1016/j.system.2020.102221
- Feb 9, 2020
- System
3
- 10.35877/454ri.eduline1451
- Dec 31, 2022
- EduLine: Journal of Education and Learning Innovation
19
- 10.4324/9780429400711
- Aug 30, 2019
- Research Article
6
- 10.5897/err2013.1592
- Nov 10, 2013
- Educational Research Review
A study of self-regulated learning strategies as predictors of critical reading
- Research Article
1
- 10.34190/ejel.22.8.3446
- Jul 23, 2024
- Electronic Journal of e-Learning
The ultimate goals of education and training are the development of learners’ learning outcomes. The prospect of achieving high academic results should function as a driving force for students to be engaged in learning. Recognition of the factors affecting their learning satisfaction should facilitate their learning process, especially in online learning environments such as Massive Open Online Courses (MOOCs). The purpose of this study was to examine the interactions among students’ characteristics, their perceived values of self-regulated learning (SRL) strategies, satisfaction and academic performances. A mixed-methods design was employed to investigate the issue under exploration. The 227 surveyed responses were collected from English majors who had experience in MOOCs and were studying at a private university in Can Tho city in the Mekong Delta, Vietnam. Data from the survey was analysed with the Statistical Package for the Social Sciences (SPSS) 25 for the correlations between their characteristics and the quantitative variables, while Partial Least Squares Structural Equation Modelling (PLS-SEM) was performed to examine the perceived effects of self-regulated learning (SRL) strategies on their satisfaction and academic outcomes. Qualitative data was collected through open-ended survey questions and analysed based on thematic analysis guidelines. The results revealed that SRL strategies such as strategic planning, time management, environment structuring, and help-seeking positively influenced both student satisfaction and academic performance. Notably, the study identified flexible learning time, self-paced learning, and the ability to choose study locations as significant factors enhancing student satisfaction. Conversely, limited social interaction, poor internet connectivity, and low motivation were found to be demotivating factors. Additionally, the study highlighted the importance of gender and prior online learning experience in shaping students' satisfaction and performance in MOOCs. While gender showed no significant correlation with SRL strategies, satisfaction, or academic performance, prior experience in online learning environments, such as the number of completed MOOC courses, was significantly correlated with better academic outcomes. However, a weak negative correlation between students' academic years and their satisfaction was observed, suggesting that more advanced students might face increased academic pressure and higher expectations, leading to lower satisfaction levels. The research underscores the critical role of SRL strategies in facilitating effective learning in MOOCs, especially in the context of English major students who often lack direct interaction with instructors and peers. Training students in SRL strategies can help them better manage their learning processes, overcome challenges, and achieve their academic goals. This study contributes to the understanding of how student characteristics and SRL strategies affect learning in online environments and suggests practical implications for enhancing MOOC experiences. Future research should investigate additional SRL strategies and include a larger, more diverse sample to provide a more comprehensive understanding of their impact on student satisfaction and academic performance in MOOCs. Furthermore, exploring the specific challenges faced by different academic disciplines in MOOCs could offer more tailored solutions to improve online learning experiences.
- Research Article
3
- 10.2478/jesr-2019-0064
- Oct 1, 2019
- Journal of Educational and Social Research
This study focused on enhancing biology students' achievement and attitude through Self-Regulated Learning Strategy in secondary schools in Delta Central Senatorial District. The study adopted the quasi-experimental pre-test, post-test control group design. Four research questions and four research hypotheses were formulated and raised to guide the study. The population of the study was all the biology students in senior secondary school II (SS II) in all the government-owned public secondary schools in Delta Central Senatorial District with an estimation of six thousand, four hundred and twenty-one students (6,421). A sample of two hundred and forty-five (245) senior secondary schools II students randomly selected from four (4) public mixed secondary schools was used for the study. The Simple Random Sampling Technique was adopted to draw the sample. The instruments used for data collection were the Biology Achievement Test (BAT) and Biology Attitude Questionnaire (BAQ). BAT and BAQ were validated by I Measurement and Evaluation and Biology teachers that have taught biology for more than ten (10) years. The reliability of BAT and BAQ were established using Kuder-Richardson formula 21 and Cronbach Alpha which yielded a coefficient of internal consistencies of 0.75 for BAT and 0.80 for BAQ respectively. Data were collected by administering the biology achievement test (BAT) and biology attitude questionnaire (BAQ) as pre-test and post-test. The data obtained were analysed using mean, standard deviation Analysis of Variation (ANOVA) and Analysis of Covariance (ANCOVA). The result shows that self-regulated regulated learning strategy significantly enhanced students' achievement in biology compared to the lecture method; there was no significant difference between the mean achievement score of male and female students taught biology using self-regulated learning strategy; there was a significant difference between the mean attitude score of students taught using self-regulated learning strategy compared with those taught with lecture method in favour of students taught using the self-regulated learning strategy and there was no significant difference between the mean attitude score of male and female students taught biology using self-regulated learning strategy. Based on the findings it was concluded that self-regulated learning strategy significantly enhances students' achievements and attitudes in biology. It was therefore recommended that biology teachers should adopt the strategy in teaching biology at the secondary school level and that biology teachers should be trained on how to use the skills of self-regulated learning strategy effectively.
- Research Article
2
- 10.36941/jesr-2019-0017
- Oct 3, 2019
- Journal of Educational and Social Research
This study focused on enhancing biology students' achievement and attitude through Self-Regulated Learning Strategy in secondary schools in Delta Central Senatorial District. The study adopted the quasi-experimental pre-test, post-test control group design. Four research questions and four research hypotheses were formulated and raised to guide the study. The population of the study was all the biology students in senior secondary school II (SS II) in all the government-owned public secondary schools in Delta Central Senatorial District with an estimation of six thousand, four hundred and twenty-one students (6,421). A sample of two hundred and forty-five (245) senior secondary schools II students randomly selected from four (4) public mixed secondary schools was used for the study. The Simple Random Sampling Technique was adopted to draw the sample. The instruments used for data collection were the Biology Achievement Test (BAT) and Biology Attitude Questionnaire (BAQ). BAT and BAQ were validated by I Measurement and Evaluation and Biology teachers that have taught biology for more than ten (10) years. The reliability of BAT and BAQ were established using Kuder-Richardson formula 21 and Cronbach Alpha which yielded a coefficient of internal consistencies of 0.75 for BAT and 0.80 for BAQ respectively. Data were collected by administering the biology achievement test (BAT) and biology attitude questionnaire (BAQ) as pre-test and post-test. The data obtained were analysed using mean, standard deviation Analysis of Variation (ANOVA) and Analysis of Covariance (ANCOVA). The result shows that self-regulated regulated learning strategy significantly enhanced students' achievement in biology compared to the lecture method; there was no significant difference between the mean achievement score of male and female students taught biology using self-regulated learning strategy; there was a significant difference between the mean attitude score of students taught using self-regulated learning strategy compared with those taught with lecture method in favour of students taught using the self-regulated learning strategy and there was no significant difference between the mean attitude score of male and female students taught biology using self-regulated learning strategy. Based on the findings it was concluded that self-regulated learning strategy significantly enhances students' achievements and attitudes in biology. It was therefore recommended that biology teachers should adopt the strategy in teaching biology at the secondary school level and that biology teachers should be trained on how to use the skills of self-regulated learning strategy effectively.
- Research Article
2
- 10.14742/apubs.2011.1784
- Dec 1, 2011
- ASCILITE Publications
Student-centred educational paradigms place a high level of responsibility on learners to control and self-regulate their personal learning processes. In these new educational paradigms, it is essential to understand students' preferences and the self-regulated learning strategies they use in order to enhance the learning process. This paper examines the different learning styles and self- regulated learning strategies used by students in a core computer science course. An Index of Learning Styles and a Self-Regulated Learning Strategies Questionnaire were administered to second year students studying programming languages concepts and paradigms. Results show that aspects of students' preferred learning styles had a significant impact on academic performance in the midterm examination. Further, consideration of the self-regulated learning strategies used by students provides evidence that metacognitive strategies were the least popular strategies among students. This suggests that students are not aware of important self-regulated learning strategies and may benefit from educational interventions focusing on these strategies. These results have implications for future teaching of the course, and are being used to guide the development of an online collaborative learning objects repository that aims to improve self-directed student learning.
- Research Article
- 10.54436/jns.2025.05.1108
- Sep 15, 2025
- Tạp chí Khoa học Điều dưỡng
Objectives: This study aims to examine the relationship between basic psychological needs satisfaction, academic motivation, and self-regulated learning strategies among undergraduate nursing students in two selected public universities in Vietnam. Methods: A cross-sectional, correlational study was conducted among 388 nursing students from two public universities in southern Vietnam from February to June 2025. Data were collected using validated tools, including the Basic Psychological Need Satisfaction and Frustration Scale, the Academic Motivation Scale, and the Motivated Strategies for Learning Questionnaire. Pearson correlation and path analysis were performed using Jamovi software. Results: Basic psychological needs satisfaction was significantly correlated with academic motivation (r = 0.655, p < 0.001) and self-regulated learning strategies (r = 0.730, p < 0.001). Academic motivation also showed a very strong association with self-regulated learning strategies (r = 0.758, p < 0.001). Path analysis indicated that academic motivation partially mediated the relationship between psychological needs and self-regulated learning strategies, with a significant direct effect (β = 0.409, p < 0.001), indirect effect (β = 0.321, p < 0.001), and a strong total effect (β = 0.730, p < 0.001). Conclusion: Nursing educators should foster autonomy-supportive educational environments to promote academic motivation and self-regulated learning among nursing students.
- Research Article
- 10.36767/d.v2i1.771
- Aug 5, 2021
Self-regulation is one of the motivational factors influencing the students’ learning process. It helps the students to accomplish the learning goals by formulating the thoughts and action to support the learning process. The aims of this study were to find out (1) the students Self-Regulated Learning (SRL) strategies at the eleventh graders of SMA Arinda Palembang, and (2) whether there was or not any significant correlation between SRL and reading comprehension of narrative text. The population and sample of this study was the students of eleventh grade of SMA Arinda Palembang. The total of sample was 46 students selected by using non-random sampling technique. Self-regulated learning (SRL) strategies questionnaire and reading comprehension test were administered as the instruments of study and they were distributed to the students to gather the data. In analyzing the data, correlation analysis was used. Based on the statistical analysis, it was found that the correlation coefficient or the r-value (0.631) was higher than r-table (0.245). Then, the level probability (p) significant (sig.2-tailed) was 0.000. it means that p-value (0.000) was lower than 0.05. it can be concluded that there was high significant correlation between the students’ self-regulated learning strategies and reading comprehension in narrative text. Keywords : Self-regulated learning strategies, reading comprehension
- Research Article
23
- 10.1016/j.sbspro.2014.01.799
- Feb 1, 2014
- Procedia - Social and Behavioral Sciences
The Relationship Between the Big-five Model of Personality, Self- regulated Learning Strategies and Academic Performance of Islamic Azad University Students
- Research Article
2
- 10.29252/rme.9.4.57
- Jan 1, 2018
- Research in Medical Education
Introduction: Self-regulated learning strategies provide the necessary condition so that improve students’ academic achievement and facilitate learning process. The aim of this research was to study the relationship between self-regulated learning strategies and academic achievements of Nursing and Midwifery Students in Shiraz University of Medical Sciences. Methods: in this descriptive- analysis study 310 Participants were selected through Stratified random Sampling method by using Cochran formula. Research Instruments included motivational strategies for learning questionnaire (MSLQ) and student achievement questionnaire. Data were analyzed by using independent T-test, Pearson correlation, Regression through SPSS. Results: self-regulated cognitive learning strategies (0.63) and meta-cognitive learning strategies (0.72) had a significant relationship with students’ academic achievement that can predict 61% of the total variance students' academic achievements. Also, result show that the mean self-regulated learning strategies (t=2.25,p=0.19) and academic achievements(t=3.69,p=0.07) of female students was higher than male students and non-native students (t=0.089,p=0.818) was higher than native students(t=2.072,p=0.039), but the difference was not significant between the two groups. Conclusion: based on result, the dimensions of self- regulatory learning strategies (cognitive learning strategies, meta- cognitive learning strategies) can predict the academic achievement of the students so, it is recommended to managers and professors of universities explain benefits of self- regulation learning strategies to Students by adopting appropriate methods as well as try to improve their abilities in this field.
- Research Article
95
- 10.1177/1362168819859921
- Jul 4, 2019
- Language Teaching Research
This study was to examine the individual differences in primary school students’ motivation (i.e. growth mindset, self-efficacy, and interest), self-regulated learning strategy use in English writing and the relationships between motivation, strategy use and English writing competence. Participants were 523 4th grade primary school students in Hong Kong. Although the findings showed a general pattern that the high achievers reported higher levels of motivation (i.e. growth mindset, self-efficacy, and interest) and self-regulated learning (SRL) strategy use than the average achievers, who in turn outperformed the low achievers, all the students showed quite a low level of interest in English writing. Interestingly, motivation impacted SRL strategy use very differently for students of different writing competence groups on the whole. Three-group Structural Equation Modelling (SEM) suggested that growth mindset had the strongest and most significant correlations with all students’ use of SRL strategies. However, interest and self-efficacy had different relationship patterns with SRL strategy use among the high, average and low achievers. Interest had no significant relations with the high achievers’ SRL strategy use, while self-efficacy had no significant relations with the low achievers’ SRL strategy use. Implications for English teachers to improve differentiated instruction are discussed.
- Research Article
- 10.51689/it.v6i2.239
- Dec 28, 2020
- INSTITUTIO:JURNAL PENDIDIKAN AGAMA KRISTEN
Abstrack: This study aims to analyze the effect of self-regulated learning-based learning and initial knowledge on learning outcomes for the second semester of Christian Religious Education students. The research subjects were 96 people who were divided into two groups, namely the experimental and control groups. Data obtained by using tests to measure learning outcomes. Data analysis used two-way ANOVA. The results show that there are differences in learning outcomes between self-regulated learning and teacherregulated learning-based learning strategies with high and low initial knowledge levels, and there is an interaction between learning strategies and initial knowledge on learning outcomes. This means that selfregulated learning-based learning and prior knowledge have a better effect on the results of the Learning Theory Key Words: Self Regulated Learning Strategy, Initial Knowledge, Learning Outcomes
- Research Article
1
- 10.55927/eajmr.v2i2.3029
- Feb 28, 2023
- East Asian Journal of Multidisciplinary Research
This research endeavor is conducted to determine the significant influence of self- regulated learning strategies towards academic performance of college students. This study utilized non-experimental quantitative research design employing descriptive correlational technique to find out the significant relationship of the variables. The data were analyzed coming from 290 participating first year students enrolled in a sectarian school in Davao City. Mean, pearson r and linear regression analysis were used to treat the gathered data. The findings of this study led to the following conclusions: The level of self-regulated learning strategies and academic performance were both assessed high. This means that the two variables were oftentimes observed by the college students. Moreover, there is a significant relationship between self regulated learning strategies and academic performance of college student. Further, self-regulated learning strategies significant influence the academic performance of college students.
- Research Article
2
- 10.24135/pjtel.v4i1.143
- Feb 2, 2022
- Pacific Journal of Technology Enhanced Learning
The importance of self-regulated learning is a heavily discussed topic in higher education. Existing literature indicates that self-regulated learning practices and strategies are relevant and important factors in student learning outcomes within blended and online contexts (Broadbent & Poon, 2015). According to literature, the self-regulated learner is aware of their strengths and weaknesses. They set goals, monitor their progress through self-reflection and the constant evaluation of their learning approaches, which enables them to adapt their engagement in academic-related tasks (Hawe, Lightfoot & Dixon, 2019). These are key principles of self-regulated learning, which aims to position learners as active agents in the learning process (Winne & Perry, 2000).
 
 Studies have found that students arrive at universities without the skills or practices required for self-regulated learning (Balapumi, von Konsky, Aitken, & McMeekin, 2016). This is a crucial time for students, as they develop new ways of thinking, learning and communicating. Practices and strategies should be introduced to students as they begin their journey into tertiary studies, to ensure they are equipped with the necessary skills that are key to academic success (Lear & Li & Prentice, 2016). To develop students as independent, self-regulating learners has become a valued and desired outcome of higher education institutions, and as such they should offer opportunities to develop these skills as they progress though their studies (Hawe et al., 2019).
 
 Therefore, to help and support students in the development and enhancement of their self-regulated learning skills, the Learn2Learn module, was developed by the Technology-Enabled-Learning (TEL) Team at Western Sydney University, and piloted to students in Autumn session, 2021. The key features and functionalities of the Learn2Learn module include, goal setting and study planning tools, lessons and content pieces informed by literature on self-regulated learning, and the ability for instructors to take a specific lesson and embed it in-line with their instructional materials within the LMS. Since its launch, there has been a consistent growth in usage. In Autumn 2021, there was a total of 427 users and 681 sessions have been initiated. Students are spending an average of approximately 8 minutes per session. In Spring 2021, there was a total of new 321 users, with 536 sessions, and an average of approximately 8 minutes per session.
 
 More recently, three focus group sessions were conducted, consisting of 4 to 6 students. Students’ experiences with the module confirmed its value in helping their self-regulated learning practices, including, setting goals, self-reflection, planning and time management. There was also a considerable number of responses from the students that have indicated that the module could benefit the first-year transition into university.
 
 This presentation will cover the evidence and research that informed the content and design of the module We will provide some insight into the preliminary findings from quantitative and qualitative data analysis and discuss the development process of the module, including an overview of the learner experience (LX) design principles used to guide the design of the module, to help promote student engagement.
 References
 
 Balapumi, R., von Konsky, B. R., Aitken, A., & McMeekin, D. A. (2016). Factors Influencing University Students’ Self-regulation of Learning: An Exploratory Study. In Proceedings of the Australasian Computer Science Week Multiconference (pp. 51–59). New York, NY, USA: ACM. http://doi.org/10.1145/2843043.2843067
 
 Broadbent, J., & Poon, W. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
 Hawe, E., Lightfoot, U., & Dixon, H. (2019). First-year students working with exemplars: promoting self-efficacy, self-monitoring and self-regulation. Journal of Further and Higher Education, 43(1), 30–44. https://doi.org/10.1080/0309877X.2017.1349894
 Lear, E., Li, L., & Prentice, S. (2016). Developing academic literacy through self-regulated online learning. Student Success, 7(1), 13-23.
 Winne, P. H., & Perry, N. (2000). Chapter 16—Measuring Self-Regulated Learning. In Handbook of Self-Regulation (pp. 531–566). Retrieved from: https://www.researchgate.net/publication/232472158_Measuring_Self-Regulated_Learning
- Research Article
21
- 10.1016/j.sbspro.2012.12.002
- Dec 1, 2012
- Procedia - Social and Behavioral Sciences
The Role of Self Regulated Learning Strategies in Psychological well being Condition of Students
- Research Article
18
- 10.3389/fpsyg.2022.1047680
- Nov 29, 2022
- Frontiers in Psychology
The COVID-19 pandemic led higher education institutions to transition to online learning. The present study was designed to investigate students' self-regulated learning strategies on academic performance in online learning. We analyzed the differences in college students' self-regulated learning (SRL) strategies according to their grade point average (GPA). The study included 1,163 students at a distance education university in China. Two online questionnaires were used to determine online SRL strategies. GPA scores were obtained from the university exam database to determine academic performance. The analysis showed that there are great differences between different self-regulated strategies and between different students when accepting the online learning. The analysis also showed that self-evaluation, metacognitive self-regulation, and effort regulation were positive predictors of academic progress, besides, self-evaluation and effort regulation had mutual influence effect on the improvement of GPA in online learning. These data will help teachers, education policymakers, and education administrators adopt and implement online learning services to improve students' academic performance.
- Research Article
- 10.26817/16925777.2019
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1959
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1945
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1901
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1909
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.2045
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1928
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1906
- Jul 23, 2025
- GIST – Education and Learning Research Journal
- Research Article
- 10.26817/16925777.1931
- Mar 19, 2025
- GIST – Education and Learning Research Journal
- Research Article
1
- 10.26817/16925777.1811
- Dec 30, 2024
- GIST – Education and Learning Research Journal
- Ask R Discovery
- Chat PDF
AI summaries and top papers from 250M+ research sources.