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Yining Zhao; Yavor Bozhkov; Xiaolei Chen; Katharina Fuchs; Michael Buchfelder; Lars Fester; Daniela Souza de Oliveira; Alessandro Del Vecchio; Thomas Kinfe – Educational Technology Research and Development, 2025
To date, neuroanatomy education courses are still based on two-dimensional (2D) illustrations combined with cadaver dissections. To gain a more comprehensive understanding of neuroanatomy, we offered mixed reality experience using a head-mounted device (HMD) for medical students during their neuroanatomy course. This pilot study´s purpose was to…
Descriptors: Anatomy, Medical Education, Computer Simulation, Computer Uses in Education
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Josef Buchner – Technology, Knowledge and Learning, 2025
The spread of fake news poses a global challenge to society, as this deliberately false information reduce trust in democracy, manipulate opinions, and negatively affect people's health. Educational research and practice must address this issue by developing and evaluating solutions to counter fake news. A promising approach in this regard is the…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Morris Gellisch; Juliane Cramer; Justin Trenkel; Franziska Bäker; Martin Bablok; Gabriela Morosan-Puopolo; Thorsten Schäfer; Beate Brand-Saberi – Anatomical Sciences Education, 2025
In recent years, there has been a growing trend toward the digitization of education, highlighting the need to understand how different learning modalities impact medical student outcomes. This study analyzes user behavior among medical students in Microscopic Anatomy, focusing on preferences for digital versus face-to-face guided self-study. A…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, In Person Learning