How does self-regulated learning relate to active procrastination and other learning behaviors?

2016 ◽  
Vol 28 (3) ◽  
pp. 326-343 ◽  
Author(s):  
Masanori Yamada ◽  
Yoshiko Goda ◽  
Takeshi Matsuda ◽  
Yutaka Saito ◽  
Hiroshi Kato ◽  
...  
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 ◽  
Valerie Osland Paton ◽  
William Yun Lan

Individuals who are self-regulated in their learning appear to achieve more positive academic outcomes than individuals who do not exhibit self-regulated learning behaviors. We suggest that distinct profiles of self-regulated learning behaviors exist across learners. In turn, these profiles appear to be associated with significantly different academic outcomes. The purpose of the current study was to examine whether profiles for self-regulated learning skills and strategies exist among learners. To achieve this purpose, we conducted two studies using two different samples. We administered the Online Self-Regulated Learning Questionnaire (OLSQ), a 24-item scale with a 5-point Likert-type response format, to students enrolled in online degree programs at a large, public university located in the Southwestern United States. The OSLQ consists of six subscale constructs, including environment structuring, goal setting, time management, help seeking, task strategies, and self-evaluation. Latent class analyses were performed with participant subscale scores from the OSLQ. Our results indicate the presence of five, distinct profiles of self-regulated learning replicated across both study samples: super self-regulators, competent self-regulators, forethought-endorsing self-regulators, performance/reflection self-regulators, and non- or minimal self-regulators. Results also indicate that individuals differ significantly in their academic achievement according to their profile membership; for example, minimal and disorganized profiles of self-regulated learning are both associated with similar, poorer academic outcomes (e.g., lower GPAs). These profiles in self-regulated learning may be viewed as contributing to the development of theory by elucidating how exactly individuals are and are not self-regulated in their learning. The authors suggest future research directions.


2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Yu-Chen Yeh ◽  
Oi-Man Kwok ◽  
Hsiang-Yu Chien ◽  
Noelle Wall Sweany ◽  
Eunkyeng Baek ◽  
...  

The purpose of this study was to examine the underlying mechanism between goal orientations and academic expectation for online learners. We simultaneously studied the structural relationships among 2×2 achievement goal orientations, self-regulated learning strategies (SRL), supportive online learning behaviors, and expected academic outcome in various online courses with 93 respondents (70 undergraduate and 23 graduate students). Specifically, we tested the mediation effects of both self-regulated learning strategies and supportive online learning behaviors on the relation between achievement goal orientations and students’ academic expectations. The results showed that two of the achievement goal orientations – mastery-approach goals (MAP) and mastery-avoidance goals (MAV) – predicted the adoption of the self-regulated learning strategies and supportive online learning behaviors, which, in turn, predicted students’ expected academic outcome for their online course. Specifically, students with higher mastery-approach goals were more likely to adopt different types of self-regulated learning strategies and supportive online learning behaviors to facilitate their learning experience, which further enhanced their expectation for their academic outcome. By contrast, students with higher mastery-avoidance goals were less likely to adopt self-regulated learning strategies and supportive online learning behaviors, which, in turn, led to lower grade expectations.


2011 ◽  
Vol 6 (3) ◽  
pp. 136-144 ◽  
Author(s):  
Fredrick A. Gardin ◽  
David A. Middlemas ◽  
James M. Mensch

Context: Understanding the transition from a novice to an expert has the potential to provide valuable information for young professionals and athletic training educators to aid in the development of tools necessary for lifetime professional learning. Objective: The purpose of this study was to identify and describe the self-regulated learning behaviors of male athletic trainers used to develop expertise in clinical evaluation and diagnosis domain knowledge in athletic training. Design: Descriptive qualitative study using a phenomenological approach. Setting: NCAA Division I and II colleges in NATA District 3 (DC, MD, NC, SC, VA, and WV.) Participants: A total of 20 male n = 10 novice (limited experiences) and n = 10 expert (at least 10 years of experience) athletic trainers in the college setting participated in the study. Data Collection and Analysis: Data were collected using an interview and questionnaire. Data were transcribed and analyzed using interpretive thematic analysis procedures. Member checks, triangulation of data, audit trail, and peer debriefing techniques were utilized to ensure trustworthiness of the data. Results: Three major themes of (1) environment, (2) experiences and goals, and (3) sources of feedback were identified and appear to describe different ways of self-regulating learning behaviors in the clinical evaluation and diagnosis domain. Conclusions: Awareness of the types of experiences needed to develop in the clinical evaluation and diagnosis domain is important to the athletic training profession. The findings of this descriptive study raise questions regarding future study of self-regulated behaviors. Post-professional education might benefit from a better understanding of self-regulated learning but research is needed.


2020 ◽  
Vol 153 ◽  
pp. 103899 ◽  
Author(s):  
Shan Li ◽  
Guanhua Chen ◽  
Wanli Xing ◽  
Juan Zheng ◽  
Charles Xie

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