Workshop: AI with LearningML in the Mathematics Classroom
This post gathers workshop materials showing how LearningML can be used in mathematics education to connect AI literacy with classroom problem solving.
Presentation:
Practice 1. The imitator
An introductory facial-recognition activity used to present LearningML and its connection with Scratch.
Tutorial video:
Suggested complementary resources:
- First steps with Scratch
- Splash it in colour with LearningML
- Programming with Ciro, part 1
- Programming with Ciro, part 2
- Programming with Jara, part 1
- Programming with Jara, part 2
- Prehistory quiz
- Sound recognition
Practice 2. Teaching a computer to recognize simple arithmetic word problems
This activity is based on Alvaro Molina Ayuso’s work on introducing AI in the mathematics classroom. It uses LearningML to classify simple addition and subtraction word problems and connects AI literacy with mathematical reasoning.
Resources:
- Dataset of simple arithmetic word problems
- Open educational resource for classroom implementation
- Reference article in revista epsilon
Practice 3. Rules vs data: two ways of solving problems
This practice compares deductive rule-based solutions with inductive data-driven solutions using the problem of identifying the quadrant of a point in the plane.
Resource:
Video:
Practice 4. Recognizing simple geometric shapes
An accessible activity for primary education in which students classify triangles, squares, pentagons, and similar figures using image recognition.
Resource:
The complete workshop content remains available in Spanish in the paired post. This English version provides a navigable summary and preserves the bilingual translation map used by the site.