Investigating the Use of Augmented Reality and Machine Learning in Electrical Engineering Courses

Authors

Miles Al Mehdawi, German Research Centre for Artificial Intelligence, Smart Enterprise Engineering, Parkstraße 40, 49080 Osnabrück, GermanyFollow
Tobias Dreesbach, German Research Centre for Artificial Intelligence, Smart Enterprise Engineering, Parkstraße 40, 49080 Osnabrück, GermanyFollow
Henning Gösling, German Research Centre for Artificial Intelligence, Smart Enterprise Engineering, Parkstraße 40, 49080 Osnabrück, GermanyFollow
Marcel Brinkmann, KME Germany GmbH, Klosterstraße 29, 49074 Osnabrück, GermanyFollow

Abstract

The use of augmented reality (AR) in education and training is growing increasingly. However, applications to integrate augmented reality learning content into training for basic electrical engineering courses are scarce. The individual learning objectives of trainees complicate the digitalization of learning content, particularly for the drawing of circuit diagrams. To increase trainees' learning outcome while simultaneously relieving instructors of classroom supervision, we designed and developed an AR-based prototype, to enhance hand-drawn circuit diagrams in vocational training. The context sensitivity is achieved by combining AR with image recognition. In an experiment with twelve participants, a positive impact of the prototype on trainees’ learning outcomes was observed, in comparison to a control group that received instructions without the prototype.

Paper Number

168

Comments

Track 7: Digital Innovation, Adoption & Use

Recommended Citation

Al Mehdawi, Miles; Dreesbach, Tobias; Gösling, Henning; and Brinkmann, Marcel, "Investigating the Use of Augmented Reality and Machine Learning in Electrical Engineering Courses" (2023). Wirtschaftsinformatik 2023 Proceedings. 16.
https://aisel.aisnet.org/wi2023/16