Text mining in education
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 …
data, specially in text format from forums, chats, social networks, assessments, essays …
[HTML][HTML] Impact of AI assistance on student agency
AI-powered learning technologies are increasingly being used to automate and scaffold
learning activities (eg, personalised reminders for completing tasks, automated real-time …
learning activities (eg, personalised reminders for completing tasks, automated real-time …
Automatic content analysis of asynchronous discussion forum transcripts: A systematic literature review
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 …
rapidly. In earlier studies, content analysis is the most-used research method in exploring …
Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis
Research has repeatedly proven the importance of social interactions in online learning
contexts such as Massive Open Online Courses (MOOCs), where learners often reported …
contexts such as Massive Open Online Courses (MOOCs), where learners often reported …
SENS: Network analytics to combine social and cognitive perspectives of collaborative learning
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 …
approach posits that different dimensions of collaborative learning emerging from social ties …
[PDF][PDF] The journey of learning analytics
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 …
research and practice that focuses on understanding and optimising learning and learning …
Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning
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 …
learners. To this end, strategic regulation of processes, such as cognition and affect …
Automated analysis of reflection in writing: Validating machine learning approaches
TD Ullmann - International Journal of Artificial Intelligence in …, 2019 - Springer
Reflective writing is an important educational practice to train reflective thinking. Currently,
researchers must manually analyze these writings, limiting practice and research because …
researchers must manually analyze these writings, limiting practice and research because …
Piecing the learning analytics puzzle: A consolidated model of a field of research and practice
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 …
about learning collected by the extensive use of technology. After the early formation, the …
Early prediction of learners at risk in self-paced education: A neural network approach
To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …
education institutions are considering self-paced education programs. However, student …