scholarly journals Motivation, Cognitive and Resource Management Skills: Association of Self-Regulated Learning Domains with Gender, Clinical Transition and Academic Performance of Undergraduate Medical Students

2018 ◽  
Vol 29 (1) ◽  
pp. 79-86
Author(s):  
Maryam Khalid Cheema ◽  
Amina Nadeem ◽  
Mahnoor Aleem
2019 ◽  
Vol 18 (1) ◽  
pp. 10-13
Author(s):  
Asma Mostafa

Background: 'Self-Regulated Learning (SRL)' means one’s ability to organize and control their learning environment. Self regulated learners develop a deep understanding of subject matter which positively influences academic performance. On this basis, the present study is aimed to assess student’s anatomical 'SRL' strategies and to investigate whether anatomical 'SRL' can predict academic performance in Anatomy course. Methods: This was a cross-sectional study. The study group consisted of a convenient sample of 105 first year undergraduate medical students of Bangladesh who were learning Anatomy for last 6 months. The 'Motivated Strategies for Learning Questionnaire' was used. Information regarding age, gender, medium they were studying prior entering into M.B.B.S course and their anatomy result was collected. Data were analyzed using SPSS version 19. Results: The present data suggests that the study group was sufficiently motivated for learning in Anatomy as measured by intrinsic goal orientation, task value and self-efficacy of learning and performance. It also demonstrates that students who were more likely to use learning strategies such as rehearsal, elaboration, organization, peer learning and help seeking had higher levels of academic performance. Female students and those from Bangla medium reported more effective study habits. Conclusion: These results indicate that adopting SRL strategics are likely linked to Anatomy performance. Chatt Maa Shi Hosp Med Coll J; Vol.18 (1); Jan 2019; Page 10-13


2020 ◽  
Vol 10 ◽  
Author(s):  
Jun Yang ◽  
Guoyang Zhang ◽  
Runzhi Huang ◽  
Penghui Yan ◽  
Peng Hu ◽  
...  

2021 ◽  
Author(s):  
Maria Theobald

The present meta-analysis tested the effects of extended self-regulated learning training programs on academic performance, cognitive strategies, metacognitive strategies, resource management strategies, and motivation of university students. Further, moderators of training effectiveness were examined. Literature search revealed 32 studies (4,106 participants) that met the inclusion criteria. A three-level meta-analysis based on 182 effect sizes revealed an overall effect size of g = .36. The largest mean effect sizes were obtained for metacognitive strategies (g = .39) and motivational outcomes (g = .38) followed by academic performance (g = .37), resource management strategies (g = .34), and cognitive strategies (g = .25). Training effects varied for specific self-regulated learning strategies and ranged between .23 (organization and rehearsal) and .55 (planning and goal setting). Further, moderator analyses revealed differential training effects depending on course design characteristics: Feedback predicted larger training effects for resource management strategies and motivation. Cooperative learning arrangement predicted larger training effects for cognitive and metacognitive strategies. The provision of learning protocols predicted larger training effects for resource management strategies. Further, training programs that targeted older students and students with lower prior academic achievement showed larger effect sizes for resource management strategies. To conclude, self-regulated learning training programs enhanced academic performance, self-regulated learning strategies, and motivation of university students. Based on these results, practical implications and avenues for further research are discussed.


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.


Author(s):  
Derk Bransen ◽  
Marjan J. B. Govaerts ◽  
Dominique M. A. Sluijsmans ◽  
Jeroen Donkers ◽  
Piet G. C. Van den Bossche ◽  
...  

Abstract Introduction Recent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students’ interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students’ co-regulatory networks, perceived learning opportunities, and self-regulated learning. Methods The authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), students’ perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning. Results Across all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = −0.474, p < 0.001). Students’ perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students’ perceptions of learning opportunities. Discussion The present study reinforces the importance of co-regulatory networks for medical students’ self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students’ self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.


2021 ◽  
Vol 15 (7) ◽  
pp. 2261-2263
Author(s):  
Helia Nodeh

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


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