[HTML][HTML] The current landscape of learning analytics in higher education
Learning analytics can improve learning practice by transforming the ways we support
learning processes. This study is based on the analysis of 252 papers on learning analytics …
learning processes. This study is based on the analysis of 252 papers on learning analytics …
Self-regulated learning and learning analytics in online learning environments: A review of empirical research
Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …
learners. The ability to self-regulate learning becomes even more important in emerging …
Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success
This study examined the extent to which instructional conditions influence the prediction of
academic success in nine undergraduate courses offered in a blended learning model (n …
academic success in nine undergraduate courses offered in a blended learning model (n …
Let's not forget: Learning analytics are about learning
The analysis of data collected from the interaction of users with educational and information
technology has attracted much attention as a promising approach for advancing our …
technology has attracted much attention as a promising approach for advancing our …
The use and application of learning theory in learning analytics: A sco** review
Since its inception in 2011, Learning Analytics has matured and expanded in terms of reach
(eg, primary and K-12 education) and in having access to a greater variety, volume and …
(eg, primary and K-12 education) and in having access to a greater variety, volume and …
Connecting the dots–A literature review on learning analytics indicators from a learning design perspective
Background During the past decade, the increasingly heterogeneous field of learning
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …
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 …
Informative feedback and explainable AI-based recommendations to support students' self-regulation
Self-regulated learning is an essential skill that can help students plan, monitor, and reflect
on their learning in order to achieve their learning goals. However, in situations where there …
on their learning in order to achieve their learning goals. However, in situations where there …
Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy
A Peña‐Ayala - Wiley Interdisciplinary Reviews: Data Mining …, 2018 - Wiley Online Library
Before the emergence of computer‐based educational systems (CBES) whose aims of
providing teaching and learning experiences to hundreds even thousands of users, an …
providing teaching and learning experiences to hundreds even thousands of users, an …
Where is the learning in learning analytics? A systematic literature review on the operationalization of learning-related constructs in the evaluation of learning analytics …
J Knobbout, E Van Der Stappen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Learning technologies enable interventions in the learning process aiming to improve
learning. Learning analytics provides such interventions based on analysis of learner data …
learning. Learning analytics provides such interventions based on analysis of learner data …