Systematic review of discussion forums in massive open online courses (MOOCs)

O Almatrafi, A Johri - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
Discussion forums are the primary and most widely used venue for social learning and
communication in MOOC context. There has been an interest in the last few years to study …

From “Incel” to “Saint”: Analyzing the violent worldview behind the 2018 Toronto attack

SJ Baele, L Brace, TG Coan - Terrorism and political violence, 2021 - Taylor & Francis
This paper combines qualitative and quantitative content analysis to map and analyze the
“Incel” worldview shared by members of a misogynistic online community ideologically …

Content analysis of textbooks via natural language processing: Findings on gender, race, and ethnicity in Texas US history textbooks

L Lucy, D Demszky, P Bromley, D Jurafsky - AERA Open, 2020 - journals.sagepub.com
Cutting-edge data science techniques can shed new light on fundamental questions in
educational research. We apply techniques from natural language processing (lexicons …

[PDF][PDF] Fractional-Iterative BiLSTM Classifier: A Novel Approach to Predicting Student Attrition in Digital Academia

G Anand, S Kumari, R Pulle - SSRG International Journal of …, 2023 - researchgate.net
Virtual learning circumstances have been observed as consistent growth over the years. The
widespread use of online learning leads to an emerging amount of enrollments, also from …

Assessment approaches in massive open online courses: Possibilities, challenges and future directions

Y Xiong, HK Suen - International Review of Education, 2018 - Springer
The development of massive open online courses (MOOCs) has launched an era of large-
scale interactive participation in education. While massive open enrolment and the …

[HTML][HTML] Machine and expert judgments of student perceptions of teaching behavior in secondary education: Added value of topic modeling with big data

B Gencoglu, M Helms-Lorenz, R Maulana… - Computers & …, 2023 - Elsevier
Research shows that effective teaching behavior is important for students' learning and
outcomes, and scholars have developed various instruments for measuring effective …

Combining click-stream data with NLP tools to better understand MOOC completion

S Crossley, L Paquette, M Dascalu… - Proceedings of the sixth …, 2016 - dl.acm.org
Completion rates for massive open online classes (MOOCs) are notoriously low. Identifying
student patterns related to course completion may help to develop interventions that can …

Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach

A Ezen-Can, KE Boyer, S Kellogg, S Booth - Proceedings of the fifth …, 2015 - dl.acm.org
Massively Open Online Courses (MOOCs) have gained attention recently because of their
great potential to reach learners. Substantial empirical study has focused on student …

A convolution-LSTM-based deep neural network for cross-domain MOOC forum post classification

X Wei, H Lin, L Yang, Y Yu - Information, 2017 - mdpi.com
Learners in a massive open online course often express feelings, exchange ideas and seek
help by posting questions in discussion forums. Due to the very high learner-to-instructor …

Investigating learners' behaviors and discourse content in MOOC course reviews

X Peng, Q Xu - Computers & Education, 2020 - Elsevier
In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …