Pathways to Improvement: Using Psychological Strategies to Help College Students Master Developmental Math.
By Elena Silva, T. White. 2013
50 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a1695e84cee232be00d6c2d8a8b821e1e37f83ad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Chris S. Hulleman
- Jeff J. Kosovich
- Lisa Linnenbrink-Garcia
- Kristy A. Robinson
- K. Barron
- R. Lazowski
- You‐kyung Lee
- Tony Perez
Citations in the corpus
- A Practical Measure of Student Motivation (2015, background): “In particular, students undergoing academic transitions often suffer the largest motivational declines, such as when transitioning to middle school (Eccles & Wigfield, 2000), high school (Casillas et al., 2012), or college (Silva & White, 2013).”
- Motivation Interventions in Education (2016, background): “Other collaborations include addressing the high failure rate of community college remedial mathematics students (Silva & White, 2013), and the high attrition rate of early career teachers (Headden, 2014).”
- Fluency Without Fear: Research Evidence on the Best Ways to Learn Math Facts (2015, background): “This is not the emotion we want students to associate with mathematics and as long as we keep putting students under pressure to recall facts at speed we will not erase the widespread anxiety and dislike of mathematics that pervades the US and UK (Silva & White, 2013; National Numeracy, 2014).”
- Motivation in transition: Development and roles of expectancy, task values, and costs in early college engineering. (2019, background): “In particular, early experiences in college STEM courses can destabilize students’ motivation through more difficult coursework and competitive environments (Seymour & Hewitt, 1997; Silva & White, 2013).”