Science of Education

by on June 15, 2020 1:54 pm
Recent research in educational neuroscience has provided evidence for a computational theory of learning which has a close affinity to Gattegno’s Science of Education. Below is my review of Stanislas Dehaene’s new book “How We Learn. The New Science of Education” which discusses these findings in detail. Book-ReviewDownload

Representing Functional Relationships

by on June 27, 2019 6:53 pm
The study of permutations and combinations of Cuisenaire rods has proved to be a rich source of mathematical tasks motivating abstraction through algebraic symbol systems as well as mathematical generalisation. In this article I take a rod permutation problem and show how teachers can use this task to support generalisation by employing a new formalism… Read more Representing Functional Relationships


by on June 19, 2019 8:38 pm
Caleb Gattegno’s contribution to mathematics education ranged from innovation in the school curriculum (“Algebra First”) to a theory of learning – the Science of Education. Where a “bit” might be said to be a unit of study in information theory, a gene in biology, or an atom in physics — Gattegno’s scientists of education study… Read more Awareness

Hello world!

by on June 19, 2019 7:42 pm
In these three articles teachers describe the benefits of learning and teaching with early algebra and how algebraFirst can be extended so that learners can write small computer programs. Getting started with early algebra Experiences with early algebra Using Haskell with 5-7 year olds