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[HTML][HTML] Artificial intelligence and learning analytics in teacher education: A systematic review
In recent years, artificial intelligence (AI) and learning analytics (LA) have been introduced
into the field of education, where their use has great potential to enhance the teaching and …
into the field of education, where their use has great potential to enhance the teaching and …
Lessons learned and future directions of MetaTutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system
Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …
Despite its importance, research shows that not all learners are equally skilled at accurately …
Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study
In recent years, AI technologies have been developed to promote students' self‐regulated
learning (SRL) and proactive learning in digital learning environments. This paper discusses …
learning (SRL) and proactive learning in digital learning environments. This paper discusses …
The Role of Inductive Learning Models on the Students Self-Regulated Learning in Math Journaling.
Students' self-regulated learning has become an essential element of student's success in
the education sector and therefore, needs the attention of policymakers and scholars alike …
the education sector and therefore, needs the attention of policymakers and scholars alike …
[HTML][HTML] Predicting regulatory activities for socially shared regulation to optimize collaborative learning
This study utilized multimodal learning analytics and AI-based methods to examine the
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
patterns of the socially shared regulation of collaborative learning (CL). The study involved …
What can online traces tell us about students' self-regulated learning? A systematic review of online trace data analysis
Abstract “Self-regulated learning”(SRL) is defined as taking responsibility for one's own
learning. Self-regulatory skills are crucial to learners' success in the online learning context …
learning. Self-regulatory skills are crucial to learners' success in the online learning context …
Investigating students' use of self‐assessments in higher education using learning analytics
Background Formative assessments are vital for supporting learning and performance but
are also considered to increase the workload of teachers. As self‐assessments in higher …
are also considered to increase the workload of teachers. As self‐assessments in higher …
[HTML][HTML] Temporally-focused analytics of self-regulated learning: A systematic review of literature
We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …
emphasises the methodological importance of temporality and sequence, as opposed to …
Towards investigating the validity of measurement of self-regulated learning based on trace data
Contemporary research that looks at self-regulated learning (SRL) as processes of learning
events derived from trace data has attracted increasing interest over the past decade …
events derived from trace data has attracted increasing interest over the past decade …
Student self-perception on digital literacy in STEM blended learning environments
As students transition into tertiary blended learning environments, their digital literacy in
terms of technical capabilities have potential to impact on their access to digital resources …
terms of technical capabilities have potential to impact on their access to digital resources …