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Smartglasses as Assistive Tools for Undergraduate and Introductory STEM Laboratory Courses

  • Martin P. StrzysEmail author
  • Michael Thees
  • Sebastian Kapp
  • Pascal Knierim
  • Albrecht Schmidt
  • Paul Lukowicz
  • Jochen Kuhn
Chapter

Abstract

Learning is known to be a highly individual process affected by learners’ individual previous experience and self-directed action. Especially during laboratory courses in university science, technology, engineering and mathematics (STEM) education, all channels of knowledge construction become relevant: students have to match their theoretical background with experimental hands-on experience, leading to an intensive interaction between theory and experiment. Realizing augmented reality scenarios with see-through smartglasses allows to display information directly in the user’s field of view and creates a wearable educational technology, providing learners with active access to various kinds of additional information while keeping their hands free. The framework presented here describes the use of augmented reality learning environments in introductory STEM laboratory courses aiming to provide students additional information and real-time feedback while sustaining their autonomy and the authenticity of their action. Based on principles of the cognitive-affective theory of learning with media (CATLM), we hypothesize that this tool can structure students’ hands-on experiences and guides their attention to cue points of knowledge construction.

Keywords

Smartglasses Augmented reality Cognitive load Split-attention effect STEM laboratory courses 

Notes

Acknowledgment

Support from the German Federal Ministry of Education and Research (BMBF) via the projects Be-greifen and gLabAssist is gratefully acknowledged.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Martin P. Strzys
    • 1
    Email author
  • Michael Thees
    • 1
  • Sebastian Kapp
    • 1
  • Pascal Knierim
    • 2
  • Albrecht Schmidt
    • 2
  • Paul Lukowicz
    • 3
  • Jochen Kuhn
    • 1
  1. 1.Department of PhysicsPhysics Education Research Group, Technische Universität KaiserslauternKaiserslauternGermany
  2. 2.Institute of informatics, Human-Centered Ubiquitous Media, Ludwig-Maximilians-Universität München, FrauenlobstrMünchenGermany
  3. 3.German Research Center for Artificial Intelligence (DFKI), Embedded Intelligence GroupKaiserslauternGermany

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