What do linguistic expressions tell us about learners' confusion? a domain-independent analysis in moocs

T Atapattu, K Falkner, M Thilakaratne… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The substantial growth of online learning, and in particular, through massively open online
courses (MOOCs), supports research into nontraditional learning contexts. Learners' …

An identification of learners' confusion through language and discourse analysis

T Atapattu, K Falkner, M Thilakaratne… - arXiv preprint arXiv …, 2019 - arxiv.org
The substantial growth of online learning, in particular, Massively Open Online Courses
(MOOCs), supports research into the development of better models for effective learning …

BERT and prerequisite based ontology for predicting learner's confusion in MOOCs discussion forums

A Chanaa, NE El Faddouli - … Conference, AIED 2020, Ifrane, Morocco, July …, 2020 - Springer
Abstract The use of Massive Open Online Courses (MOOCs) is rapidly increasing due to the
convenience and ease that provide to learners. However, MOOCs suffer from high drop out …

Learner Affect through the Looking Glass: Characterization and Detection of Confusion in Online Courses.

Z Zeng, S Chaturvedi, S Bhat - International Educational Data Mining Society, 2017 - ERIC
Characterizing the nature of students' affective and emotional states and detecting them is of
fundamental importance in online course platforms. In this paper, we study this problem by …

Exploring the effect of confusion in discussion forums of massive open online courses

D Yang, M Wen, I Howley, R Kraut, C Rose - Proceedings of the second …, 2015 - dl.acm.org
Thousands of students enroll in Massive Open Online Courses~(MOOCs) to seek
opportunities for learning and self-improvement. However, the learning process often …

Temporal changes in affiliation and emotion in MOOC discussion forum discourse

J Hu, N Dowell, C Brooks, W Yan - … , AIED 2018, London, UK, June 27–30 …, 2018 - Springer
Studies have shown discourse constructs of affiliation and emotion to be critical factors
influencing learning performance and outcomes in both traditional environments and …

MOOCSent: a sentiment predictor for massive open online courses

MA Alsheri, LM Alrajhi, A Alamri, AI Cristea - 2021 - aisel.aisnet.org
One key type of Massive Open Online Course (MOOC) data is the learners' social interaction
(forum). While several studies have analysed MOOC forums to predict learning outcomes …

A Bayesian CNN-LSTM model for sentiment analysis in massive open online courses MOOCs

K Mrhar, L Benhiba, S Bourekkache… - International Journal of …, 2021 - learntechlib.org
Abstract Massive Open Online Courses (MOOCs) are increasingly used by learn-ers to
acquire knowledge and develop new skills. MOOCs provide a trove of data that can be …

Sentiment Analysis of MOOC learner reviews: What motivates learners to complete a course?

J Knöös, SA Rääf - 2021 - diva-portal.org
In the last decade, development of Information and Communication Technology (ICT) that
supports online learning has increased the demand for e-learning and Massive Open Online …

New methods for confusion detection in course forums: student, teacher, and machine

SA Geller, K Gal, A Segal, K Sripathi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article provides computational and rule-based approaches for detecting confusion that
is expressed in students' comments in couse forums. To obtain reliable, ground truth data …