Model-Eliciting Activities as a Tool to Develop and Identify Creatively Gifted Mathematicians
By S. Chamberlin, S. Moon. 2005
241 citations recorded by the source corpus.
Subfields: Education, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/837125e4d211a62e62c750670e3d55168a9be6d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- H. Wessels
- Frank K. Lester Jr.
- R. Leikin
- S. Chamberlin
- Ronald L. Miller
- Tamara J. Moore
- Young Rae Kim
- Micah S. Stohlmann
In Experimental and Cognitive Psychology
- R. Leikin
- H. Wessels
- S. Chamberlin
- Hsueh-Chih Chen
- Linda Hsu
- Lisa Tseng
- Po-Sheng Huang
- Shu-Ling Peng
In Statistics and Probability
- H. Wessels
- R. Leikin
- Frank K. Lester Jr.
- S. Chamberlin
- Richard A. Lesh
- Bharath Sriraman
- C. Christou
- N. Mousoulides
Citations in the corpus
- Model-Eliciting Activities (MEAs) as a Bridge Between Engineering Education Research and Mathematics Education Research (2008, background): “While furnishing an avenue for underperforming students to experience and exhibit success in mathematics, they also proved effective as a diagnostic tool for gifted and highly creative youngsters [52, 53].”
- Modeling in Engineering: The Role of Representational Fluency in Students' Conceptual Understanding (2013, background): “MEAs are realistic, interdisciplinary, team-based, nonroutine problems (Chamberlin & Moon, 2005); they allow researchers and teachers to observe students’ development of conceptual models as they go through the cycle of expressing, testing, and revising their solutions.”
- Factors that Influence Mathematical Creativity (2019, background): “Chamberlin and Moon (2005) described MEAs as mathematical tasks that require students to create models and solve complex problems.”
- The relative influences of domain knowledge and domain-general divergent thinking on scientific creativity and mathematical creativity (2017, background): “Chamberlin and Moon (2005) argued that gifted and creative students possess the abilities to generate novel and useful responses to application problems in mathematics.”
- Levels of mathematical creativity in model-eliciting activities (2014, methodology): “Literature also points out that such model-eliciting tasks can be used as instruments to develop creativity and to identify creative giftedness (Chamberlin & Moon 2005; Fox 2006; Freiman 2006; Lesh 2001).”
- The education of mathematically gifted students: Some complexities and questions (2011, background): “The following twelve papers, from among more than 1,000 published in the past ten years, form an almost complete list: Chamberlin & Moon, 2005; Hodge & Kemp, 2006; Hong & Aqui, 2004; Koichu & Berman, 2005; Kwon, Park & Park, 2006; Mann, 2006; Nokelainen, Tirry & Merenti-Valimaki, 2007;…”