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

Miles Mehdawi (), Tobias Dreesbach (), Henning Gösling () and Marcel Brinkmann ()
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Miles Mehdawi: German Research Centre for Artificial Intelligence
Tobias Dreesbach: German Research Centre for Artificial Intelligence
Henning Gösling: German Research Centre for Artificial Intelligence
Marcel Brinkmann: KME Germany GmbH

A chapter in Conceptualizing Digital Responsibility for the Information Age, 2025, pp 101-116 from Springer

Abstract: 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.

Keywords: Augmented reality; Vocational training; Circuit diagrams; Object recognition (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80119-8_7

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DOI: 10.1007/978-3-031-80119-8_7

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