[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 …
Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
Abstract Massive Open Online Courses (MOOCs) provide learners with high-quality and
flexible online courses with no limitations regarding time and location. Detecting users' …
flexible online courses with no limitations regarding time and location. Detecting users' …
Multimodn—multimodal, multi-task, interpretable modular networks
Predicting multiple real-world tasks in a single model often requires a particularly diverse
feature space. Multimodal (MM) models aim to extract the synergistic predictive potential of …
feature space. Multimodal (MM) models aim to extract the synergistic predictive potential of …
Trace-SRL: a framework for analysis of microlevel processes of self-regulated learning from trace data
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning
holds the promise of providing insights into latent constructs, such as learning strategy, self …
holds the promise of providing insights into latent constructs, such as learning strategy, self …
Unfolding students' online assignment submission behavioral patterns using temporal learning analytics
This study analyzed students' online assignment submission behaviors from the
perspectives of temporal learning analytics. This study aimed to model the time-dependent …
perspectives of temporal learning analytics. This study aimed to model the time-dependent …
[PDF][PDF] A modern approach to transition analysis and process mining with Markov models in education
In the previous two chapters, we have learned about sequence analysis [1, 2] and its
relevance to educational research. This chapter presents a closely-related method …
relevance to educational research. This chapter presents a closely-related method …
[HTML][HTML] The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning
Personalized learning builds upon the fundamental assumption of uniqueness in learning
behavior, often taken for granted. Quite surprisingly, however, the literature provides little to …
behavior, often taken for granted. Quite surprisingly, however, the literature provides little to …
Associations of Research Questions, Analytical Techniques, and Learning Insight in Temporal Educational Research: A Systematic Map** Study
Learning has a temporal characteristic in nature, which means that it occurs over the
passage of time. The research on the temporal aspects of learning faces several challenges …
passage of time. The research on the temporal aspects of learning faces several challenges …
A learning analytics approach to monitoring the quality of online one-to-one tutoring
M Cukurova, M Khan-Galaria… - Journal of Learning …, 2022 - learning-analytics.info
One-to-one online tutoring provided by human tutors can improve students' learning
outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this …
outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this …