Assessing and Predicting College Students’ Use of Strategies for the Self-Regulation of Motivation
By C. Wolters, Maria B. Benzon. 2013
292 citations recorded by the source corpus.
Subfields: Clinical Psychology, Developmental and Educational Psychology, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/7abcae342942ce431588c740bb330a63d0537db2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
- M. Hussain
- Rob L. Martens
- K. Smit
- Malte Schwinger
- David B. Miele
- Abigail A. Scholer
- M. Boekaerts
- C. J. D. Brabander
In Developmental and Educational Psychology
- David B. Miele
- Abigail A. Scholer
- M. Hussain
- C. Wolters
- Malte Schwinger
- Anastasia Kitsantas
- Rob L. Martens
- K. Smit
In Experimental and Cognitive Psychology
- David B. Miele
- Abigail A. Scholer
- M. Hussain
- Caihong R. Li
- Anastasia Kitsantas
- E. Usher
- M. Boekaerts
- Malte Schwinger
Citations in the corpus
- First-Year College Students’ Time Use (2017, background): “Research shows that reflection on academic goals promotes mastery orientation, which is an attitude toward learning as a process of mastery rather than a product of social approval (Pintrich, 2004; Radoševich, Vaidyanathan, Yeo, & Radoševich, 2004; Wolters, 1998; Wolters & Benzon, 2013).”
- Investigating grit and its relations with college students’ self-regulated learning and academic achievement (2015, methodology): “(1993) andWolters (2003b; Wolters and Benzon 2013) to refer to learning or coursework in general, four types of self-regulatory strategies were assessed.”
- Which one works best? Considering the relative importance of motivational regulation strategies (2017, background): “A number of studies have shown that students who use certain strategies to regulate their motivation put more effort into learning tasks when faced with obstacles or difficulties (Leutner, Barthel, & Schreiber, 2001; Schwinger, Steinmayr, & Spinath, 2009; Wolters & Benzon, 2013).”
- Measuring Undergraduate Students' Engineering Self‐Efficacy: A Validation Study (2016, background): “…efforts might target other motivation variables that were not measured here, such as grit, career goals, and self-regulation, all of which might help explain why some students intend to (and do) pursue careers in engineering (see Lent & Brown, 1996; Shechtman et al., 2013; Wolters & Benzon, 2013).”
- The self-regulation of motivation: Motivational strategies as mediator between motivational beliefs and engagement for learning (2017, background): “Motivational beliefs are strong determinants in students’ choice to engage in learning (Ajzen, 1991; Bandura, 1991; De Brabander & Martens, 2014; Eccles & Wigfield, 2002; Gollwitzer, 2012; Pintrich 1999; Wolters & Benzon, 2013; Zimmerman & Schunk, 2008).”
- The Role of Metamotivational Monitoring in Motivation Regulation (2018, methodology): “E in Figure 1; for support, see Sansone, Weir, Harpster, & Morgan; 1992; Sansone, Wiebe, & Morgan, 1999; Smit et al., 2017; Wolters & Benzon, 2013; Wolters & Hussain, 2015; Wolters & Rosenthal, 2000).”
- How Individual Self-Regulation Affects Group Regulation and Performance (2015, unknown): “Motivational regulation strategies (MRS; Wolters & Benzon, 2013) measures the use of different strategies for the self-regulation of motivation in the form of a 7-point Likert-type scale (1 = strongly disagree, 7 = strongly agree).”