The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Math Anxiety: A Factor in Math Achievement Not to Be Ignored
Abstract
The United States is currently not producing enough graduates in science, technology, engineering, and math (STEM) fields to meet the demands of a technology-dependent society. Although there are many efforts in place to improve STEM education in the United States, most notably, President Obama’s Educate to Innovate campaign, these efforts focus mostly on innovating the teaching of math content and less on the role of affective factors in math achievement. Here we discuss a phenomenon known as math anxiety (i.e., negative feelings of tension and fear that many people experience when engaging in math) and the implications math anxiety carries for math success and STEM engagement. We begin by highlighting the most recent findings from research in psychology, education, and neuroscience on math anxiety. We then discuss the consequences of math anxiety as well as likely causes and promising remediations. We suggest that the initiatives currently underway to improve STEM involvement and achievement would benefit from educating current and future teachers, parents, and even students about math anxiety, its causes, consequences, and possibilities for amelioration.
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The episodic buffer: a new component of working memory?
Baddeley, A. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01538-2 · Cited by 7,359 · cited 1×
“Working memory is a limited capacity system that integrates, computes, stores, and manipulates the information to which a person is attending (Baddeley, 2000; Engle, 2002; Miyake & Shah, 1999).”
BackgroundTime required for Judgements of Numerical Inequality
MOYER, R. S., & LANDAUER, T. K. (1967) · Nature · doi:10.1038/2151519a0 · Cited by 2,068
The relation between spatial skill and early number knowledge: The role of the linear number line
Gunderson, E. A., Ramirez, G., Beilock, S. L., & Levine, S. C. (2012) · Developmental Psychology · doi:10.1037/a0027433 · Cited by 554
Self-citationWriting About Testing Worries Boosts Exam Performance in the Classroom
Ramirez, G., & Beilock, S. L. (2011) · Science · doi:10.1126/science.1199427 · Cited by 434
Self-citationTurning the knots in your stomach into bows: reappraising arousal improves performance on the GRE
Jamieson, J. P., Mendes, W. B., Blackstock, E., & Schmader, T. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.08.015 · Cited by 376
Improving Acute Stress Responses: The Power of Reappraisal
Jamieson, J. P., Mendes, W. B., & Nock, M. K. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721412461500 · Cited by 273
Domain‐specific and domain‐general changes in children's development of number comparison
Holloway, I. D., & Ansari, D. (2008) · Developmental Science · doi:10.1111/j.1467-7687.2008.00712.x · Cited by 153
Cited by
A meta-analysis of the relation between math anxiety and math achievement
Barroso, C., Ganley, C. M., McGraw, A. L., Geer, E. A., Hart, S. A., & Daucourt, M. C. (2021) · Psychological Bulletin · doi:10.1037/bul0000307 · Cited by 614
Annual Research Review: Educational neuroscience: progress and prospects
Thomas, M. S. C., Ansari, D., & Knowland, V. C. P. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12973 · Cited by 265
Samuel, T. S., & Warner, J. (2021) · Community College Journal of Research and Practice · doi:10.1080/10668926.2019.1666063 · Cited by 159
Maths anxiety and medication dosage calculation errors: A scoping review
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Metadata
- Authors
- Beilock, S. L., & Maloney, E. A.
- Venue
- Policy Insights from the Behavioral and Brain Sciences
- Publisher
- SAGE Publications
- Published
- 2015-10
- Volume
- 2
- Issue
- 1
- Pages
- 4-12
- ISSN
- 2372-7322 (ISSN-L)
- 2372-7330
- OpenAlex
- W2233346231
- Cited by
- 203
- References
- 7
- FWCI
- 12.25
- Type
- journal article
- Language
- en
- Open access
- closed
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