Profiling students' learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach

Z Liu, Q Tang, F Ouyang, T Long, S Liu - Computers & Education, 2024 - Elsevier
Abstract In the Massive Online Open Course (MOOC) forum, learning engagement
encompasses three fundamental dimensions—cognitive, emotional, and behavioral …

Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement

S Liu, S Liu, Z Liu, X Peng, Z Yang - Computers & Education, 2022 - Elsevier
In the MOOC forum discussions, emotional and cognitive engagement are two prominent
aspects of learning engagement. Moreover, emotional and cognitive engagement have an …

Automatic content analysis of asynchronous discussion forum transcripts: A systematic literature review

M Ahmad, K Junus, HB Santoso - Education and Information Technologies, 2022 - Springer
In recent years, the use of asynchronous discussion forums in online learning has increased
rapidly. In earlier studies, content analysis is the most-used research method in exploring …

Measuring Behavior Change with Observational Studies: a Review

A Pera, GF Morales, LM Aiello - arXiv preprint arXiv:2310.19951, 2023 - arxiv.org
Exploring behavioral change in the digital age is imperative for societal progress in the
context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map …

Students' social-cognitive engagement in online discussions

Z Liu, N Zhang, X Peng, S Liu, Z Yang - Educational Technology & Society, 2023 - JSTOR
Grounded on constructivism, mining a complex mix of social and cognitive interrelations is
key to understanding collaborative discussion in online learning. A single examination of …

Identifying learners' topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques

H Zankadi, A Idrissi, N Daoudi, I Hilal - Education and Information …, 2023 - Springer
Interests play an essential role in the process of learning, thereby enriching learners
'interests will yield to an enhanced experience in MOOCs. Learners interact freely and …

Emergent coding and topic modeling: a comparison of two qualitative analysis methods on teacher focus group data

A Miyaoka, L Decker-Woodrow… - International …, 2023 - journals.sagepub.com
More than ever in the past, researchers have access to broad, educationally relevant text
data from sources such as literature databases (eg, ERIC), an open-ended response from …

A hybrid DEMATEL and social network analysis model to identify factors affecting learners' satisfaction with MOOCs

S Ahmadi, Z Nourmohamadzadeh, B Amiri - Heliyon, 2023 - cell.com
Abstract Massive Online Open Courses (MOOCs) offer free access to training in various
topics in all fields. However, the low percentage of course completion by learners is a …

Deep neural networks for the automatic understanding of the semantic content of online course reviews

X Chen, D Zou, G Cheng, H Xie - Education and Information Technologies, 2024 - Springer
The rise of massive open online courses (MOOCs) brings rich opportunities for
understanding learners' experiences based on analyzing learner-generated content such as …

Modeling temporal cognitive topic to uncover learners' concerns under different cognitive engagement patterns

Z Liu, R Mu, Z Yang, X Peng, S Liu… - Interactive Learning …, 2023 - Taylor & Francis
Massive open online courses (MOOCs) provide learners with high-quality learning
resources, but learners drop out frequently. Learners' concerns (eg the topics in course …