Matthias Carl Laupichler

Biographic Data

ID7722468
NAMEMatthias Carl Laupichler
GIVEN NAMESMatthias Carl
FAMILY NAMELaupichler
SIGNATURELAUPICHLER M C
AFFILIATIONSUniversity Hospital Bonn
ORCID0000-0003-3104-1123
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Algorithm aversion revisited

    Open AccessMatthias Carl Laupichler, Nils Knoth et al.ARTICLEBritish Journal of Educational…2025

    Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs. Concurrently, recent research has increasingly identified an ‘algorithm aversion’ tendency, leading individuals to regard information generated by AI with scepticism. Both uncritical trust and unfounded ave…

  • Impact of providing a customized guideline on virtual medical history taking in two serious games for medical education

    Open AccessAlexandra Aster, Arietta Lotz et al.ARTICLEMedical Education Online2025

    The results suggest that history taking benefits from self-directed learning in a long menu format relying on cued recall but not in a free-entry chatbot relying on free recall. Since serious games are partially artificial learning environments for training history taking, future studies should examine the extent to which students can transfer their learning in and out of serious games

  • Large Language Models in Medical Education

    Open AccessMatthias Carl Laupichler, Johanna Flora Rother et al.ARTICLEAcademic Medicine2024

  • Evaluating AI Courses

    Open AccessMatthias Carl Laupichler, Alexandra Aster et al.ARTICLEEducation Sciences2023

    A growing number of courses seek to increase the basic artificial-intelligence skills (“AI literacy”) of their participants. At this time, there is no valid and reliable measurement tool that can be used to assess AI-learning gains. However, the existence of such a tool would be important to enable quality assurance and comparability. In this study, a validated AI-literacy-assessment instrument, the “scale for the assessment of non-experts’ AI li…

  • AI Course Design Planning Framework

    Open AccessJohannes Schleiss, Matthias Carl Laupichler et al.ARTICLEEducation Sciences2023

    The use of artificial intelligence (AI) is becoming increasingly important in various domains, making education about AI a necessity. The interdisciplinary nature of AI and the relevance of AI in various fields require that university instructors and course developers integrate AI topics into the classroom and create so-called domain-specific AI courses. In this paper, we introduce the “AI Course Design Planning Framework” as a course planning fr…

  • Medical students learning about AI – with AI

    Open AccessManuel E B Müller, Matthias Carl LaupichlerARTICLEMedical Education2023

    Groundbreaking scientific discoveries are often neglected by Medical Schools due to curricular demands or scepticism towards innovations. The use of artificial intelligence (AI) in health care marks a paradigm shift that poses challenges for medical professionals, medical students and society. Today's students are the first generation of medical trainees confronted with this paradigm shift and will have to apply AI in practice in the near future.…

  • Artificial intelligence literacy in higher and adult education

    Open AccessMatthias Carl Laupichler, Alexandra Aster et al.ARTICLEComputers and Education:…2022

    Since artificial intelligence (AI) is finding its way into more and more areas of everyday life, improving the AI skills of non-experts is important and will become even more relevant in the future. While it is necessary that children learn about the possibilities of AI at an early age, adults in higher education and beyond should also have at least a basic understanding of AI (i.e., AI literacy) to be able to interact effectively with the techno…