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André de Sá Braga Oliveira; Luciano César P. C. Leonel; Edward R. LaHood; Bachtri T. Nguyen; Anahid Ehtemami; Stephen P. Graepel; Michael J. Link; Carlos D. Pinheiro-Neto; Nirusha Lachman; Jonathan M. Morris; Maria Peris-Celda – Anatomical Sciences Education, 2024
The 3D stereoscopic technique consists in providing the illusional perception of depth of a given object using two different images mimicking how the right and left eyes capture the object. Both images are slightly different and when overlapped gives a three-dimensional (3D) experience. Considering the limitations for establishing surgical…
Descriptors: Computer Simulation, Photography, Visualization, Models
Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
Nadav Aridan; Michal Bernstein-Eliav; Dana Gamzo; Maya Schmeidler; Niv Tik; Ido Tavor – Anatomical Sciences Education, 2024
Anatomy studies are an essential part of medical training. The study of neuroanatomy in particular presents students with a unique challenge of three-dimensional spatial understanding. Virtual Reality (VR) has been suggested to address this challenge, yet the majority of previous reports have implemented computer-generated or imaging-based models…
Descriptors: Anatomy, Neurology, Electronic Learning, Computer Simulation