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Project MaRC, housed at the U.C. Berkeley School
of Education, is a 3-year project funded by the National Science Foundation.
The aim of this project is to study student "meta-representational competence,"
particularly as it relates to the use of scientific representations. Meta-representational
competence (MRC) refers to knowledge about external representations, such
as graphs and diagrams, and capabilities that cut across representations.
Meta-representational competence includes:
- the ability to invent novel representations
- the ability to critique existing representations
- knowledge of the functions that representations perform
- knowledge that facilitates the rapid learning of new representation
Our goals in this project are three-fold:
- Document student meta-representational competence. Our first
goal is to investigate and document the nature of meta-representational
competence.
- MRC and conceptual change. We believe that the development
of representational competence is both an important impetus for and
a component of conceptual change in science. It makes sense that one
learns scientific concepts in part by learning to represent them. And
one may hold that science entails, in part, a certain style of representing
the world. As part of this research, we intend to explore this relationship
between MRC and conceptual development in science.
- Design and analysis of interventions. Finally, we intend to
explore educational implications of MRC in instruction. We believe that
an understanding of meta-representational competence will allow us to
tune the techniques that exist for teaching standard representations
like graphing. More importantly, we also believe that this understanding
will allow us to develop more substantially novel methods of teaching
mathematics and science, which build on students' strengths in this
area and compensate for weaknesses.
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