Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019 - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

[HTML][HTML] Impact of AI assistance on student agency

A Darvishi, H Khosravi, S Sadiq, D Gašević… - Computers & …, 2024 - Elsevier
AI-powered learning technologies are increasingly being used to automate and scaffold
learning activities (eg, personalised reminders for completing tasks, automated real-time …

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 …

SENS: Network analytics to combine social and cognitive perspectives of collaborative learning

D Gašević, S Joksimović, BR Eagan… - Computers in Human …, 2019 - Elsevier
In this paper, we propose a novel approach to the analysis of collaborative learning. The
approach posits that different dimensions of collaborative learning emerging from social ties …

[หนังสือ][B] E-learning in the 21st century: A community of inquiry framework for research and practice

DR Garrison - 2016 - taylorfrancis.com
The third edition of E-Learning in the 21st Century provides a coherent, comprehensive, and
empirically-based framework for understanding e-learning in higher education. Garrison …

Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis

W Zou, X Hu, Z Pan, C Li, Y Cai, M Liu - Computers in Human Behavior, 2021 - Elsevier
Research has repeatedly proven the importance of social interactions in online learning
contexts such as Massive Open Online Courses (MOOCs), where learners often reported …

Early prediction of learners at risk in self-paced education: A neural network approach

H Waheed, SU Hassan, R Nawaz, NR Aljohani… - Expert Systems with …, 2023 - Elsevier
To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …

Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

S Järvelä, D Gašević, T Seppänen… - British Journal of …, 2020 - Wiley Online Library
Collaborative learning (CL) can be a powerful method for sharing understanding between
learners. To this end, strategic regulation of processes, such as cognition and affect …

[PDF][PDF] The journey of learning analytics

S Joksimović, V Kovanović, S Dawson - HERDSA Review of Higher …, 2019 - herdsa.org.au
It has been almost a decade since the emergence of learning analytics, a bricolage field of
research and practice that focuses on understanding and optimising learning and learning …

Piecing the learning analytics puzzle: A consolidated model of a field of research and practice

D Gašević, V Kovanović… - Learning: Research and …, 2017 - Taylor & Francis
The field of learning analytics was founded with the goal to harness vast amounts of data
about learning collected by the extensive use of technology. After the early formation, the …