iRobot: Teaching an Evaluated, Competencies-Based Introductory Artificial Intelligence Class in Highschools

Harald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

Abstract

Profound knowledge about at least the fundamentals of Arti-
ficial Intelligence (AI) will become increasingly important for careers in
science and engineering. Therefore we present an innovative educational
project teaching fundamental concepts of artificial intelligence at high
school level. We developed a high school AI-course (called “iRobot”) deal-
ing with major topics of AI and computer science (automatons, agent
systems, data structures, search algorithms, graphs, problem solving by
searching, planning, machine learning) according to suggestions in the
current literature. The course was divided into seven weekly teaching
units of two hours each, comprising both theoretical and hands-on com-
ponents. We conducted and empirically evaluated a pilot project in a
representative Austrian high school. The results of the evaluation show
that the participating students have become familiar with the concepts
included in the course and the various topics addressed.
Originalspracheenglisch
Seiten (von - bis)218-223
FachzeitschriftLecture Notes in Computer Science
Jahrgang9904
DOIs
PublikationsstatusVeröffentlicht - 2016
Veranstaltung39th Annual Conference on Artificial Intelligence: KI 2016 - University of Klagenfurt, Klagenfurt, Österreich
Dauer: 26 Sept. 201630 Sept. 2016
http://ki2016.org/

Fields of Expertise

  • Information, Communication & Computing

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