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Examining the association between discussion strategies and learners' critical thinking in asynchronous online discussion
A well-designed asynchronous online discussion (AOD) has the potential to encourage
learners' critical thinking (CT). Previous studies have shown that the discussion strategies …
learners' critical thinking (CT). Previous studies have shown that the discussion strategies …
The Use of Deep Learning in Open Learning: A Systematic Review (2019 to 2023)
No records of systematic reviews focused on deep learning in open learning have been
found, although there has been some focus on other areas of machine learning. Through a …
found, although there has been some focus on other areas of machine learning. Through a …
[HTML][HTML] A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms
Massive open online courses have revolutionised the learning environment, but their
effectiveness is undermined by low completion rates. Traditional dropout prediction models …
effectiveness is undermined by low completion rates. Traditional dropout prediction models …
Extracting Urgent Questions from MOOC Discussions: A BERT-Based Multi-output Classification Approach
Online discussion forums are widely used by students to ask and answer questions related
to their learning topics. However, not all questions posted by students receive timely and …
to their learning topics. However, not all questions posted by students receive timely and …
BERT-Based Global Semantic Refinement and Local Semantic Extraction for Distinguishing Urgent Posts in MOOC Forums
Z Zhang, X Zhu, Q He, L Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
With the continuous development of the Internet, Massive Open Online Courses (MOOCs)
have become the choice of more and more learners. MOOCs platforms provide a forum for …
have become the choice of more and more learners. MOOCs platforms provide a forum for …
Automatic Classification of Online Learner Reviews Via Fine-Tuned BERTs
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners'
learning experiences by examining their self-generated course evaluation content. This …
learning experiences by examining their self-generated course evaluation content. This …
Building Materials Classification Model Based on Text Data Enhancement and Semantic Feature Extraction
Q Yan, F Jiao, W Peng - Buildings, 2024 - mdpi.com
In order to accurately extract and match carbon emission factors from the Chinese textual
building materials list and construct a precise carbon emission factor database, it is crucial to …
building materials list and construct a precise carbon emission factor database, it is crucial to …
Machine Learning Approaches for Analysing Sentiment in Reviews on Massive Open Online Courses
With the advancement of online learning, it is observed that there is an exponential growth of
data and information across the internet which leads the students to enroll for Massive Open …
data and information across the internet which leads the students to enroll for Massive Open …
[HTML][HTML] International Review of Research in Open and Distributed Learning
O Estrada-Molina, J Mena, A López-Padrón - irrodl.org
No records of systematic reviews focused on deep learning in open learning have been
found, although there has been some focus on other areas of machine learning. Through a …
found, although there has been some focus on other areas of machine learning. Through a …