The Search for Mathematical Creativity: Identifying Creative Potential in Middle School Students
By E. Mann. 2009
68 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/46ae0b8605fec4cc42bb0a89d15e8e27e84fc058
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- S. Bas
- Ayhan Kursat Erbas
- David Cropley
- Kyung-Nam Jeon
- Brian French
- Chia-Yi Lin
- S. Moon
- James C. Kaufman
In Experimental and Cognitive Psychology
- James C. Kaufman
- David Cropley
- S. Moon
- Hsueh-Chih Chen
- Brian French
- Kyung-Nam Jeon
- S. Bas
- Ayhan Kursat Erbas
Citations in the corpus
- Measuring Functional Creativity: Non‐Expert Raters and the Creative Solution Diagnosis Scale (2012, background): “Looking at one such domain (mathematics), Mann (2009) argues that many of the current assessments are time consuming to score; they also tend to be separate instruments designed to measure the specific domains.”
- Differential Effects of Divergent Thinking, Domain Knowledge, and Interest on Creative Performance in Art and Math (2011, result): “This finding is aligned with the findings of recent studies in which math achievement had a statistically significant contribution to creative performance in the math domain (Livne &Milgram, 2006; Mann, 2009).”
- The relative influences of domain knowledge and domain-general divergent thinking on scientific creativity and mathematical creativity (2017, background): “Generally speaking, most of the findings still show that mathematical creativity is related to mathematics achievement (Haylock, 1987a; Jensen, 1973; Mann, 2009; Sak &Maker, 2006; Walia, 2012).”
- The Contribution of Personality Traits, Motivation, Academic Risk-Taking and Metacognition to the Creative Ability in Mathematics (2015, background): “CAMT has been demonstrated to show acceptable levels of both validity and reliability in measuring mathematical creativity (Mann, 2005, 2009).”
- Predicting Creative Problem-Solving in Math From a Dynamic System Model of Creative Problem Solving Ability (2011, background): “Creativity in math problem solving requires various attributes in addition to divergent thinking or knowledge and skills in math (Hong & Aqui, 2004; Kaizer & Shore, 1995; Livne &Milgram, 2006; Mann, 2006, 2009).”