Artificial Intelligence and Mathematics Education: Expectations and Questions

Nicolas Balacheff (1)

1 Leibniz - IMAG - Laboratoire Leibniz

The main contribution of A.I. to mathematics education is to provide concepts, methods and tools for the design of flexible and relevant computer-based systems for teaching and learning purposes. Such systems convey great expectations as: direct manipulation of abstract objects, customized explanations, intelligent microworlds allowing learning by discovery. Many questions are associated to these expectations, as in the first place the question of knowing what can be learned and what is learned by means of interaction with such AI-systems. But, other important questions must be asked concerning the consequences of the knowledge reification implied by AI modelling and the design of friendly interfaces or the ways such systems can cooperate with teachers in the mathematics classroom. We will consider these questions in the context of the Cabrigéomètre project.

Keywords: didactic of mathematics; CABRI geometry

Domains: Technology for Human Learning

Nicolas Balacheff. Artificial Intelligence and Mathematics Education: Expectations and Questions. 14th Biennal of the Australian Association of Mathematics Teachers, 1993, Perth, Australia. pp.1-24. ⟨hal-00190342⟩