The relationship between self-regulation and educational performance in students
Sara Sahranavard1, Mohamad Reza Miri2, Hamid Salehiniya3
1 Department of Psychology, Faculty of Medicine, Birjand University of Medical Sciences, Birjand, Iran
2 Social Determinants of Health Research Center, Birjand University of Medical Science, Birjand, Iran
3 Minimally Invasive Surgery Research Center, Iran University of Medical Sciences; Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
|Date of Submission||27-Apr-2018|
|Date of Acceptance||17-Jun-2018|
|Date of Web Publication||28-Dec-2018|
Dr. Sara Sahranavard
Social Determinants of Health Research Center, Faculty of public Heakth, Birjand University of Medical Sciences, Birjand
Source of Support: None, Conflict of Interest: None
INTRODUCTION: Self-regulation and educational performance are among the most important topics to be discussed in schools and universities. The present study aimed to the relationship between self-regulation and educational performance among daughter students of police officers in Birjand City, Iran (public and Payame Noor) in 2017.
MATERIALS AND METHODS: This research is a correlational cross-sectional study. In total, 200 female students were selected using random sampling method. The Ryan and Connell's Self-Regulation Questionnaire and Durtaj's educational performance scale were used to collect data. The data were analyzed using the Pearson correlation coefficient.
RESULTS: The results showed that there is a significant correlation between self-regulation and educational performance among students of Payame Noor University, whereas it is not significant for public university students.
CONCLUSION: We can provide students with effective and useful tips to improve their academic achievement and performance by teaching them self-regulation skills. Therefore, the cornerstone of educational achievement in students should be in that way to achieve the desired educational performance and also increase their self-regulation.
Keywords: Birjand, educational performance, female students, self-regulation
|How to cite this article:|
Sahranavard S, Miri MR, Salehiniya H. The relationship between self-regulation and educational performance in students. J Edu Health Promot 2018;7:154
|How to cite this URL:|
Sahranavard S, Miri MR, Salehiniya H. The relationship between self-regulation and educational performance in students. J Edu Health Promot [serial online] 2018 [cited 2019 May 26];7:154. Available from: http://www.jehp.net/text.asp?2018/7/1/154/248932
| Introduction|| |
One of the most important goals of education has become to help students acquire self-regulation skills that to improve learning during school years.
By continuing their education, students increase their opportunities for a better-paid and more satisfying career. It is also the key component for mediating success in most learning environments.,, Students who are defined as “self-regulated” participate proactively in the learning process – emotionally, motivationally, and cognitively. These students self-activate and self-direct efforts to acquire knowledge and skills by implementing specific strategies rather than just passively reacting to their teachers' instructions.,
Self-regulation during the adolescent years has been construed in a variety of ways. In general, self-regulation during adolescence involves the ability of the youth to function as an autonomous individual. A key feature of autonomy is the ability to make appropriate decisions. A self-regulated individual sets attainable goals and takes appropriate actions to achieve these goals, utilizing their resources while remaining aware of their limitations. These individuals show control over their psychological processes and the ability to adapt to their environment. Academic self-regulation can be defined as self-regulated learning, that is, the motivational and behavioral processes allowing individuals to activate and sustain cognitions, behaviors, and emotions in a systematic way toward the attainment of their own learning goals. The number of studies focusing on self-regulation has increased rapidly in the past decades. At the same time, the research focus has shifted from the concept of SRL to the applications of self-regulation. In recent years, more and more researchers have expanded their interests to the promotion of self-regulation through a range of methods. Cleary and Zimmerman studied 43 adolescent male students to see how much their level of skill in playing basketball affects their self-regulatory forethought, the sense of satisfaction and self-reflection processes regarding their free-shooting practice. Their findings confirm that inefficient choice of learning strategies and nonspecific goals of learning strategies and nonexperts' lower self-efficacy insights hinder their promotion as free-throw shooters. The results of Zimmerman and Martinez-pons study showed that successful learners had more skill in this regard than unsuccessful individuals. Abar et al. studied relations between religiosity, both parent and student, and maternal parenting style and student academic self-regulation, academic achievement, and risk behavior among African-American youth attending a parochial college. Their findings confirm that although no direct relations were observed between parenting style and student religiosity, maternal parenting style was found to moderate relations between parental and student religiosity. Findings are discussed in terms of their relevance to the population studied. Dent and Alison study explores how academic achievement relates to two main components of self-regulated learning for students in elementary and secondary school. Two meta-analyses integrated previous findings on (1) defining metacognitive processes of self-regulated learning and (2) students' use of cognitive strategies. Overall correlations were small, but there was systematic variation around both of them. Five moderator analyses were conducted to explain this variation. Average correlations significantly differed based on the specific process or strategy, academic subject, grade level, type of self-regulated learning measure, and type of achievement measure. Follow-up tests explored the nature of these differences and largely support the hypotheses. Theoretical, methodological, and practical implications of these findings are also discussed.
This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. Findings revealed that self-regulated learning scaffolds in computer-based learning environments generally produced a significantly positive effect on academic performance. It is also suggested that both domain-general and domain-specific scaffolds can support the entire process of self-regulated learning since they demonstrated substantial effects on academic performance. Different impacts of various studies and their methodological features are presented and discussed.
The purpose of this study was to evaluate the relationship between self-regulation and educational performance of the daughter students of police officers at Birjand Universities (public and Payame Noor) in the 2016–2017 educational year.
| Materials and Methods|| |
This was a correlational study in which daughter students of police officers in Birjand City, Iran (public and Payame Noor universities), in the 2016–2017 educational year were selected by the availability sampling method. All daughter students were chosen voluntarily whereas their own satisfaction was provided. The some inclusion and exclusion criteria were included in this study. Inclusion criteria: (1) Female students between the ages of 18 and 22 years and (2) at least one of the parents should be a police officer. Exclusion criteria: (1) unwillingness to cooperate and (2) having been diagnosed with a specific psychological disorder. According to Gall et al., a correlational study requires a minimum of 30 participants. However, the larger the sample size, the more information we have and so our uncertainty reduces. In this study after application of the exclusion criteria, a total of 200 students were included in the assessment.
In the first stage, the number of employees who have female student studying in public and Payame Noor were identified.
In the second stage, randomly, some of the female students-staff were selected and questionnaires were distributed among students in the field of basic sciences, engineering, literature and humanities, arts, agriculture, and psychology. Out of 200 female students, 50% were from the public university and 50% from the Payame Noor University.
In this study, two scales were used to measure the variables Ryan and Connell Educational Self-Regulation and the educational achievement scale of Durtaj.
The Academic Self-Regulation Questionnaire (SRQ-A) was prepared by Ryan and Connell to measure children's self-regulation. The questionnaire is based on the reasons why children and adolescents do not carry out their school assignments. This scale is designed for secondary and high school students and is completely different from adult self-regulation questionnaires. SRQ-A has four subscales: external self-regulation, internal self-regulation, cognitive self-regulation, and internal motivation. There are two versions of the SRQ-A. The first version is used in many research projects of schoolchildren. It asks four questions why students are doing various school-related behaviors. Each question is followed by several responses that indicate the type of rule used on this scale. The validation of this scale has been done by Ryan and Connell. A 4-point Likert scale was used for this purpose where 3 was “very accurate,” 2 “not very accurate,” and 1 “not at all correct.” The mean of each of the subscales is calculated after the sum of the scores. The higher the mean, the higher the self-regulation. The Cronbach's alpha in the present study was 0.89.
In order to assess the educational performance, the Durtaj educational performance test was used. This test has 48 questions of Likert scale. Questions (1-2-3-4-12-28-29-30-31-32-36-40-42-46-47-48) examine the effects of self-efficacy and are directly scored and question 9 is reverse scored. The questions (8-13-14-15-16-17-18-19-20) examine the emotional effects and are directly scored and the questions (31-32-35-36) are reverse scored. Questions (5-41-45-46) examine the planning impacts, and question 26 is scored in a reverse order. Questions (8-38-39) examine the effects of the loss of control of the outcome and are measured directly. Questions (21-22-23-24) examine the impacts of motivation and are directly evaluated and questions 43 are scored in reverse. Cronbach's alpha was 0.90.
Consent to participate
All patients signed the informed consent form to participate in the study, following all the necessary ethical recommendations inherent to a project developed with humans.
For statistical analysis, results were presented as Pearson correlation for quantitative variables.
All statistical analysis was performed using SPSS software (version 19.0, SPSS Inc., Chicago, Illinois). Statistical significance was determined as a P ≤ 0.05.
| Results|| |
[Table 1] shows the P value between self-regulation and educational performance in students of public and Payame Noor universities. According to [Table 1], there is a significant correlation between self-regulation and educational performance for students of Payame Noor University (P = 0.1). However, there is no significant correlation between self-regulation and educational performance of university students (P = 0.57).
|Table 1: Pearson correlation between self-regulation and educational performance|
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[Table 2] shows the relationship between the dimensions of self-regulation and the dimensions of educational performance in students. As you can see in [Table 2], there was a negative and meaningful relationship between emotional effects and the lack of control of outcome with cognitive self-regulation and internal motivation (P < 0.05). There was a positive and significant relationship between planning and self-regulation and its components as well as between the motivation with cognitive self-regulation (P < 0.05). More precisely, there is a significant relationship between self-regulation with planning, and also between internal self-regulation with self-efficacy and planning. There were also significant relationships between cognitive self-regulation with self-efficacy and emotional effects and planning; lack of control of outcome and motivation, internal motivation with self-efficacy, emotional effects, planning, and lack of outcome control and autonomy had significant relationship with self-efficacy and planning (P < 0.001).
|Table 2: The relationship between self-regulation and educational performance|
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| Discussion|| |
Findings showed that most of the self-regulation components were related to the educational performance components. These results are consistent with other results.,, In explaining this, one can point out that students who used more self-regulating strategies were successful in the future planning as well as in self-efficacy. Students with better cognitive self-regulation can have better educational performance by managing their emotions and emotional influences. They also have a great motivation to study and can make targeted planning. There was a significant positive relationship between external self-regulation and planning. In other words, the higher the individual's external self-regulation, the better he plans. In explaining this finding, one can say that self-regulation can empower a person to plan and target in the future and can achieve many successes. As internal self-regulation increases, self-efficacy and planning also increase in a person. We can point out that these individuals have the ability to internally direct attention, behavior, and emotions in order to reach the goals and respond to external needs, internal environment, and curriculum planning. The increase self-regulated, can increase emotions (positive and negative), self-efficacy and planning, and motivation to improve. An individual can be free and selective in determining how much and how his assignments should be done. According to Zimmerman, A student must know his strengths and weaknesses. Accordingly, although the professors need information about the strengths and weaknesses of the students, the goal is to help students' self-regulate. In general, there was a significant difference between students of Payame Noor University and public university on self-efficacy in educational performance. This is because of the difference in the educational system of universities. These findings have provided evidence in support of theories such as Garner. Based on his findings, learners do not automatically use self-regulation strategies unless they are taught to use them and they are forced to use these strategies.
The limitations of the study are the lack of cooperation of all students in completing questionnaires. The population of the study was students of Birjand universities, therefore, in generalizing the results to other people should be cautious.
| Conclusion|| |
Based on these results and considering the role and importance of self-regulation on the educational performance of students, they are advised to pay attention to their information and learning. The faculty members and educational staff in universities and centers of higher education are suggested to create a student-center atmosphere and challenging classroom as well as have right expectations of the students.
The findings of the present study may have implications for teachers and learners. As well, students can benefit from learning self-regulated skills by incorporating them into their learning processes, which may help them become independent and responsible in their own learning.
We thank all the students who participated in this research and all students from Birjand Universities.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Boekaerts M. Self-regulated learning at the junction of cognition and motivation. Europ Psychol 1996;1:100-12.
Hartley K, Bendixen LD. Educational research in the Internet age: Examining the role of individual characteristics. Educ Res 2001;30:22-6.
Lehmann T, Hahnlein I, Ifenthaler D. Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning. Comput Hum Behav 2014;32:313-23.
Zimmerman BJ. Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. AERJ 2008;45:166-83.
Zimmerman BJ, Schunk DH. Self-Regulated Learning and Academic Achievement: Theory, Research, and Practice. New York: Springer; 1990.
Nota L, Soresi S. Autoefficacia Nelle Scelte [Self-Efficacy and Career Choice]. Firenze: Giunti Organizzazioni Speciali; 2000.
Zimmerman BJ. Academic studying and the development of personal skill: A self-regulatory perspective. Educ Psychol 1998;33:73-86.
Patock-Peckham JA, Cheong J, Balhorn ME, Nagoshi CT. A social learning perspective: A model of parenting styles, self-regulation, perceived drinking control, and alcohol use and problems. Alcohol Clin Exp Res 2001;25:1284-92.
Miller DC, Byrnes JP. Adolescents' decision making in social situations: A self-regulation perspective. J Appl Dev Psychol 2001;22:237-56.
Schunk DH, Zimmerman BJ. Self-Regulation of Learning and Performance: Issues and Educational Applications. Hillsdale, NJ: Erlbaum; 1994.
van Ewijk CD. Assessing students' acquisition of self-regulated learning skills using meta-analysis. In: Zimmerman BJ, Schunk DH, editors. Handbook of Self-Regulation of Learning and Performance. Milton Park: Taylor & Francis; 2011. p. 376-90.
Dignath C, Buttner G. Components of fostering selfregulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Meta Lear 2008;3:231-64.
Cleary TJ, Zimmerman BJ. Self-regulation differences during athletic practice by experts, non-experts, and novices. J Appl Sport Psychol 2001;13:185-206.
Zimmerman BJ, Martinez-Pons M. Deelopment of a structured interview for assessing student use of self-regulated learning strategies. Am Educ Res J 1986;23:614-28.
Abar B, Carter KL, Winsler A. The effects of maternal parenting style and religious commitment on self-regulation, academic achievement, and risk behavior among African-American Parochial college students. J Adolesc 2009;32:259-73.
Dent AL, Alison CK. The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educ Psychol Rev 2015;28(3):424-474. [Doi: 10.1007/s10648-015-9320-8].
Lanqin Z. The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: A metaanalysis. APER Rev 2016;17:187-202.
Gall MD, Gall JP, Borg WR. Educational Research: An Introduction. Boston, MA: Pearson/Allyn & Bacon; 2007.
Martínez-Mesa J, González-Chica DA, Bastos JL, Bonamigo RR, Duquia RP. Sample size: How many participants do I need in my research? An Bras Dermatol 2014;89:609-15.
Ryan RM, Connell JP. Perceived locus of causality and internalization: Examining reasons for acting in two domains. J Pers Soc Psychol 1989;57:749-61.
Zhou Y, Bullock A, Liu J. Validation of the self-regulation scale in Chinese children. J Psychoeduc Assess 2015;34:1-6.
Durtaj F. Investigating the Effect of Process and Outcome Simulation in Improving the Academic Performance of Students in Constructing and Standardizing the Performance Test. PhD Thesis. AllamehTabatabai University of Tehran; 2004.
Karimi M, Kyumars F. Emotional self-regulation and study skills with academic performance of Isfahan University of Medical Sciences Students. Iran J Med Educ 2011;4:331-40.
Mohsen Poor M, Hejazi E, Kiyamanesh A. The role of self-efficacy, achievement goals, learning strategies, and sustainability in the academic achievement of mathematics in third grade high school students in Tehran. Educa I 2006;5:9-36.
Khodabandeh S, Dortaj H, Falsavinezhad S, Ebrahimighavam S. The role of learning styles on prediction and clarification of student's achievement motivation and academic performances. Biqua J Cogn Strate Lear 2015;2:40-51.
Sayadbargard M, Yaghoobiaskarabadi E. The evaluation of relationship between motivational beliefs and self-regulated learning strategies with educational outcomes of students in health faculty of Ahvaz Jundishapour University of medical sciences. Jundishapur Train Dev Prog 2013;2:61-70.
Zimmmerman BJ. Becoming a self-regulated lernings: An overview. Theor Pract 2002;41:64-70.
Garner R. When children and adults do not use learning strategies: Towards theory of setting. Rev Educ Res 1990;60:517-29.
[Table 1], [Table 2]