The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students
Title
The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School StudentsDate
2021-06-12Citation
Guerreiro-Santalla, S., Bellas, F., Fontenla-Romero, O. (2021). The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_15
Abstract
[Abstract]: This paper presents a structured activity to introduce high school students in the
topics of representation and reasoning in Artificial Intelligence, which are completely new
for them at this educational level. The activity has been designed in the scope of the Erasmus+ project called AI+, which aims to develop a curriculum of Artificial Intelligence (AI)
for high school students in Europe. As established in the AI+ principles, all the teaching
activities are based on the use of the student's smartphone as the core element to introduce
a practical approach to AI in classes. In this case, a smartphone app is developed by students using the MIT App Inventor software. The topics of representation and reasoning are introduced to students by means of topological maps and graph-like representations, which are used later to perform a simple probabilistic reasoning over them.
Keywords
AI curriculum
AI for K12
AI resource for classroom
Representation and reasoning
Smartphone app
AI for K12
AI resource for classroom
Representation and reasoning
Smartphone app
Description
This version of the conferencer paper has been accepted for publication,
and is subject to Springer Nature’s AM terms of use, but is not the
Version of Record and does not reflect post-acceptance improvements,
or any corrections. The Version of Record is available online at: http://
dx.doi.org/10.1007/978-3-030-78270-2_15
Editor version
Rights
Springer Nature’s AM terms of use
https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
ISBN
978-3-030-78269-6