Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data
Learning sciences are embracing the significant role technologies can play to better detect,
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …
[HTML][HTML] Assessment in the age of artificial intelligence
In this paper, we argue that a particular set of issues mars traditional assessment practices.
They may be difficult for educators to design and implement; only provide discrete snapshots …
They may be difficult for educators to design and implement; only provide discrete snapshots …
Towards hybrid human‐AI learning technologies
I Molenaar - European Journal of Education, 2022 - Wiley Online Library
Education is a unique area for application of artificial intelligence (AI). In this article, the
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …
[HTML][HTML] The concept of hybrid human-AI regulation: Exemplifying how to support young learners' self-regulated learning
I Molenaar - Computers and Education: Artificial Intelligence, 2022 - Elsevier
Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …
Educational data mining: An advance for intelligent systems in education
RS Baker - IEEE Intelligent systems, 2014 - ieeexplore.ieee.org
Educational Data Mining: An Advance for Intelligent Systems in Education Page 1 78 1541-1672/14/$31.00
© 2014 IEEE Ieee InTeLLIGenT SySTemS Published by the IEEE Computer Society AI AND …
© 2014 IEEE Ieee InTeLLIGenT SySTemS Published by the IEEE Computer Society AI AND …
Persistence in a game-based learning environment: The case of elementary school students learning computational thinking
R Israel-Fishelson… - Journal of Educational …, 2020 - journals.sagepub.com
Persistence has proven to be a great challenge in online learning environments. Gaming
and interactivity have been suggested as essential features in reducing dropout and …
and interactivity have been suggested as essential features in reducing dropout and …
Machine learning-enabled automated feedback: Supporting students' revision of scientific arguments based on data drawn from simulation
A design study was conducted to test a machine learning (ML)-enabled automated feedback
system developed to support students' revision of scientific arguments using data from …
system developed to support students' revision of scientific arguments using data from …
What can moment-by-moment learning curves tell about students' self-regulated learning?
Many students in primary education learn arithmetic using adaptive learning technologies
(ALTs) on tablets every day. Driven by developments in the emerging field of learning …
(ALTs) on tablets every day. Driven by developments in the emerging field of learning …
[HTML][HTML] Clustering children's learning behaviour to identify self-regulated learning support needs
When children are learning using adaptive learning technologies (ALTs), the technology
builds a learner model, which creates temporal trajectories providing insight into how …
builds a learner model, which creates temporal trajectories providing insight into how …
Personalized visualizations to promote young learners' SRL: The learning path app
This paper describes the design and evaluation of personalized visualizations to support
young learners' Self-Regulated Learning (SRL) in Adaptive Learning Technologies (ALTs) …
young learners' Self-Regulated Learning (SRL) in Adaptive Learning Technologies (ALTs) …