Can self-regulated learning strategies improve academic achievement in online higher education learning environments?

2017 ◽  
Vol 4 (1) ◽  
pp. 36-37 ◽  
Author(s):  
Tirtha Goradia ◽  
Andrea Bugarcic
Author(s):  
Dr. Asia Zulfqar ◽  
◽  
Dr. Bashir Hussain ◽  

Recently an increasing focus has been observed on the learner-centred approaches for their role in preparing more independent and skilful graduates. Of these active learning styles, self-regulated learning has received greater attention in higher education. In this context, it is highly important to examine current state of self-regulated learning adopted by students, along with examining the gender differences and the nature of discipline in adopting self-regulated learning. Considering this situation, the prime objective of the study was to map the link between students' self-regulated learning and their academic achievement in their related disciplines, and on basis of their gender. Using the descriptive design, a quantitative survey was used to collect the data from 300 students of two public sector universities of Pakistan. A questionnaire was adopted to collect data from students to measure their level of adopted self-regulated learning and CGPA. Simple linear regression and t-test and ANOVA were applied to reach to certain results. Our findings rejected the main hypothesis that there is no impact of self-regulated learning on students’ academic achievement. Likewise, this study could not identify the difference in view of adopting self-regulated learning strategies by male and female students at higher education. However, in view of measuring SRL at faculty level, students from the faculty of science adopted self-regulated learning strategies to some extent. Next to concrete discussion in relation to these findings limitations and directions for future researches were stressed.


2018 ◽  
Vol 6 (5) ◽  
Author(s):  
Wan-Jeng Chang

The main purpose of the present article is to estimate academic achievement and gender peer effects on social comparisons and self-regulated learning behaviors in a Taiwanese EFL context. The participating students were 50 non-English-major freshmen studying in Central Taiwan. Analyses of the data reveal the following findings. First, female students preferred or felt more comfortable making social comparisons with other female students, and they applied more self-regulated learning strategies. Second, male students had a stronger drive to make social comparisons, and they would prepare harder over time for the tests. Third, students with relatively low ability tended toward upward comparison and tended to give up or only study the easy parts. 


Author(s):  
Lucy Barnard-Brak ◽  
William Y. Lan ◽  
Valerie Osland Paton

While the presence of technology-enhanced learning environments (TELEs) will only increase in higher education, this book chapter examines current literature concerning the measurement of online SRL behaviors and the application of this online SRL measurement with regard to profiling SRL behaviors in TELEs. The methodologies and issues associated with the measurement of SRL behaviors in TELEs is discussed in view of extant research. The organization of SRL behaviors into five, distinct profiles is then discussed in view of a social cognitive perspective concerning the development of SRL (e.g. Zimmerman & Schunk, 2001). The book chapter concludes with recommendations for future research concerning the presence of SRL profiles and their relationship to other metacognitive factors and academic achievement.


Author(s):  
Wongpanya Sararat Nuankaew ◽  
Pratya Nuankaew ◽  
Direk Teeraputon ◽  
Kanakarn Phanniphong ◽  
Sittichai Bussaman

The Self-Regulated Learning (SRL) strategies can be the best. It can be achieved by a sub-goal that will be more important in the younger generation. This paper proposes the process of developing factors (attributes) which are related to the development of learning styles through self-regulated strategies. The objectives of this paper are (1) to study the perception and attitude toward the attributes of students with self-regulated learning of the students in higher education, and (2) to find the level of acceptance towards the factor of SRL using applied statistics and machine learning technology. The results show that two tools have proved the respondents and the factors of SRL in the accepted level. Besides, the results found that Thai higher education students still focus on formal learning, which conflicts with the behavior and us-age of Internet and telephone in the classroom. In future work, the author is committed to develop and apply a self-regulated learning strategy model with a combination of collaborative learning strategies of blended learning. Also, it supports undergraduate students in analyzing the factors and studying the behavior patterns of learners in suitable modern learning.


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