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Predictive Modeling for Enhancing MOOC Completion Rates: A Case Study.
Buddhika, Muditha ; Karunarathne, Buddhika ; Nanayakkara, Vishaka
Proceedings of the European Conference on e-Learning (ECEL). 2024, Vol. 23 Issue 1, p43-51. 9p.

Massive open online cour... Higher education Student engagement Deep learning Data mining
Konferenz
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3

Graph Neural Networks in TensorFlow and Keras with Spektral
Grattarola, Daniele ; Alippi, Cesare

Computer Science - Machi... Statistics - Machine Lea...
Report
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4

Time Series Data Preparation for CNN and LSTM ; Time Series Data Preparation ; CNN ; LSTM ; Data Preparation for CNN and LSTM
Syed Muhammad Hasanat

Machine learning Deep learning Time Series Data Prepara... Python Time Series Data LSTM
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5

Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]
Grattarola D. ; Alippi C.
IEEE Computational Intelligence Magazine. 16:99-106

FOS: Computer and inform... Computer Science - Machi... Artificial Intelligence Statistics - Machine Lea... 0202 electrical engineer... Machine Learning (stat.M...
Fachzeitschrift
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6

Predictive Modeling for Enhancing MOOC Completion Rates: A Case Study
null Muditha Buddhika ; Buddhika Karunarathne ; Vishaka Nanayakkara
European Conference on e-Learning. 23:43-51

Fachzeitschrift
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7

Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.
Götz, Friedrich M. ; Maertens, Rakoen ; Loomba, Sahil ; et al.
Psychol Methods

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9

An introductory guide for conducting psychological research with big data.
Vezzoli, Michela ; Zogmaister, Cristina
Psychol Methods

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