A Deep Learning Model to Predict Student Dropout – Dr Naif Radi Aljohani, King Abdulaziz University Jeddah
Original Article Reference
This SciPod is a summary of the paper ‘Virtual learning environment to predict withdrawal by leveraging deep learning’, from Wiley’s International Journal of Intelligent Systems. https://doi.org/10.1002/int.22129
About this episode
Identifying students who are at risk of withdrawing from higher education is of key importance, as it allows educators to devise and implement intervention strategies that could support students in completing their studies. With this in mind, Dr Naif Radi Aljohani and his colleagues at King Abdulaziz University in Saudi Arabia have recently devised a technique that could help to predict early dropout from university courses, by analysing data related to student engagement on online learning platforms.
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Simulating Supersonic Fluid Flows in the Student Aerodynamics Lab – Dr Oleg Goushcha, Manhattan College
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