A Multi-Layers Perceptron for predicting weekly learner commitment in MOOCs

[PDF] iaii.or.id

Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC

MRP Putra, E Utami - Jurnal RESTI (Rekayasa Sistem dan …, 2024 - jurnal.iaii.or.id
Despite being in high demand as a lifelong learner and academic material supplement, the
implementation of Massive Open Online Courses (MOOC) has problems, one of which is the …
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[PDF] xisdxjxsu.asia

[PDF][PDF] A Novel Analysis of MOOC's Prediction

S Nithya, S Umarani - Scanning - xisdxjxsu.asia
Massive Open Online Courses (MOOCs) are exclusively designed for virtual teaching
resources of high quality that benefit large audiences. This paper explores the current status …
被引用次数：2 相关文章 所有 2 个版本
[PDF] dur.ac.uk

[PDF][PDF] Early identification of dropout students in Massive Open Online Courses

AS Alamri - 2023 - etheses.dur.ac.uk
Learning analytics (LA) provides the ability to understand the patterns of students' behaviour
and improve their educational outcomes. Today, the capacity to retain more data has …
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[PDF] scientifictemper.com

Predictive modeling of dropout in MOOCs using machine learning techniques

KK Patel, K Amin - The Scientific Temper, 2024 - scientifictemper.com
The advent of massive open online courses (MOOCs) has revolutionized education, offering
unprecedented access to high-quality learning materials globally. However, high dropout …
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