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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
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Murata, Ryusuke; Okubo, Fumiya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – Journal of Educational Computing Research, 2023
This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…
Descriptors: College Students, Academic Achievement, Prediction, Neurology
Danilov, Igor Val; Mihailova, Sandra – Online Submission, 2021
One of the most intriguing questions in cognitive science is the Primary Data Entry (PDE) problem: where does social knowledge come from? After birth, an organism meets with reality, which is transcendental, staying beyond any experience and understanding of this pure reason. Basic approaches to the study of cognition are cognitivism,…
Descriptors: Cognitive Science, Intelligence, Models, Intention
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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
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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