Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations

Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. In this paper, we seek to improve Learner Profiling (LP), i.e. estimating the demographic characteristics of learners in MOOC platforms. We have f...

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Bibliographic Details
Main Authors: Tahani Aljohani, Alexandra I. Cristea
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Research Metrics and Analytics
Subjects:
learner profiling
MOOC
gender
employment status
CNN
RNN
Online Access:https://www.frontiersin.org/articles/10.3389/frma.2021.673928/full

Internet

https://www.frontiersin.org/articles/10.3389/frma.2021.673928/full

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