Beyond Conceptual Change: Using Representations to Integrate Domain‐Specific Structural Models in Learning Mathematics
Abstract
ABSTRACT— Effective teaching should focus on representational change, which is fundamental to learning and education, rather than conceptual change, which involves transformation of theories in science rather than the gradual building of knowledge that occurs in students. This article addresses the question about how to develop more efficient strategies for promoting representational change across cognitive development. I provide an example of an integrated structural model that highlights the underlying cognitive structures that connect numbers, mathematical operations, and functions. The model emphasizes dynamic multiple representations that students can internalize within the number line and which lead to developing a dynamic mental structure. In teaching practice, the model focuses on a counting task format, which integrates a variety of activities, specifically addressing motor, visual, and verbal skills, as well as various types of learning transfer.
Number of times cited: 15
- Martina A. Rau and Percival G. Matthews, How to make ‘more’ better? Principles for effective use of multiple representations to enhance students’ learning about fractions, ZDM, 49, 4, (531), (2017).
- Florence Mihaela Singer, Linda Jensen Sheffield, Viktor Freiman and Matthias Brandl, Research On and Activities For Mathematically Gifted Students, Research On and Activities For Mathematically Gifted Students, 10.1007/978-3-319-39450-3_1, (1-41), (2016).
- Florence Mihaela Singer, Florentina Samihaian, Jack Holbrook and Alexandru Crisan, Developing a Competence-based Curriculum for the 21st Century: The Case of Kuwait, Procedia - Social and Behavioral Sciences, 128, (475), (2014).
- Ildikó Pelczer, Florence Mihaela Singer and Cristian Voica, Dynamic Thinking and Static Thinking in Problem Solving: Do they Explain Different Patterns of Students’ Answers?, Procedia - Social and Behavioral Sciences, 128, (217), (2014).
- Vera Năstase, Using the Dynamic Infrastructure of Mind as a More Effective Way for First Language Acquisition, Procedia - Social and Behavioral Sciences, 128, (99), (2014).
- Florence Mihaela Singer and Cristian Voica, A problem-solving conceptual framework and its implications in designing problem-posing tasks, Educational Studies in Mathematics, 83, 1, (9), (2013).
- Florence Mihaela Singer, Nerida Ellerton and Jinfa Cai, Problem-posing research in mathematics education: new questions and directions, Educational Studies in Mathematics, 83, 1, (1), (2013).
- M.H. Immordino-Yang and K.W. Fischer, Neuroscience Bases of Learning, International Encyclopedia of Education, 10.1016/B978-0-08-044894-7.00500-5, (310-316), (2010).
- Florence Mihaela Singer and Cristian Voica, In Search of Structures: How Does the Mind Explore Infinity?, "Mind, Brain, and Education", 4, 2, (81-93), (2010).
- Florence Mihaela Singer, The dynamic infrastructure of mind—A hypothesis and some of its applications, New Ideas in Psychology, 27, 1, (48), (2009).
- Florence Mihaela Singer and Hedy Moscovici, Teaching and learning cycles in a constructivist approach to instruction, Teaching and Teacher Education, 24, 6, (1613), (2008).
- Florence Mihaela Singer and Cristian Voica, Between perception and intuition: Learning about infinity, The Journal of Mathematical Behavior, 27, 3, (188), (2008).
- Clancy Blair, Hilary Knipe and David Gamson, Is There a Role for Executive Functions in the Development of Mathematics Ability?, "Mind, Brain, and Education", 2, 2, (80-89), (2008).
- Mary Helen Immordino‐Yang, The Smoke Around Mirror Neurons: Goals as Sociocultural and Emotional Organizers of Perception and Action in Learning, "Mind, Brain, and Education", 2, 2, (67-73), (2008).
- Dénes Szűcs and Usha Goswami, Educational Neuroscience: Defining a New Discipline for the Study of Mental Representations, "Mind, Brain, and Education", 1, 3, (114-127), (2007).




