The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

R Baker, D Xu, J Park, R Yu, Q Li, B Cung… - International Journal of …, 2020 - Springer
Student clickstream data—time-stamped records of click events in online courses—can
provide fine-grained information about student learning. Such data enable researchers and …

Goal-oriented visualizations of activity tracking: a case study with engineering students

JL Santos, S Govaerts, K Verbert, E Duval - Proceedings of the 2nd …, 2012 - dl.acm.org
Increasing motivation of students and helping them to reflect on their learning processes is
an important driver for learning analytics research. This paper presents our research on the …

Aptitude-treatment interactions during creativity training in e-learning: How meaning-making, self-regulation, and knowledge management influence creativity

Y Yeh, CF Lin - Journal of Educational Technology & Society, 2015 - JSTOR
The goal of aptitude-treatment interactions (ATIs) is to find the interactions between
treatments and learners' aptitudes and therefore to achieve optimal learning. This study …

[PDF][PDF] Supporting self-regulated learning

A Nussbaumer, I Dahn, S Kroop… - … outcomes of research …, 2015 - library.oapen.org
Self-regulated learning (SRL) competences are crucial for lifelong learning. Their cultivation
requires the right balance between freedom and guidance during the learning processes …

[PDF][PDF] The procrastination related indicators in e-learning platforms

MP Paule Ruiz, M Riestra González… - Journal of Universal …, 2015 - digibuo.uniovi.es
In general, research confirms that learning is more effective when students obtain feedback
regarding their learning progress. Currently, new versions of e-learning platforms include …

A rule‐based self‐regulated learning assistance scheme to facilitate personalized learning with adaptive scaffoldings: A case study for learning computer software

JM Su - Computer Applications in Engineering Education, 2020 - Wiley Online Library
Many studies indicate that most students find it difficult to learn effectively in computer‐based
learning environments because of a lack of self‐regulated learning (SRL) abilities …

Supporting self-regulated personalised learning through competence-based knowledge space theory

CM Steiner, A Nussbaumer… - Policy Futures in …, 2009 - journals.sagepub.com
This article presents two current research trends in e-learning that at first sight appear to
compete. Competence-Based Knowledge Space Theory (CBKST) provides a knowledge …

A methodology for eliciting, modelling, and evaluating expert knowledge for an adaptive work-integrated learning system

T Ley, B Kump, D Albert - International Journal of Human-Computer Studies, 2010 - Elsevier
We present a methodology for constructing and evaluating models for adaptive informal
technology-enhanced workplace learning. It is designed for knowledge-intensive work …

Contextual support of social engagement and reflection on the Web

C Glahn - 2009 - research.ou.nl
This thesis analyses the role of context for supporting self-directed and self-organised
learners on the web. The goal of the related project was to develop novel approaches to …

Personalized learning in mathematics

G Albano, S Miranda, A Pierri - 2014 International Conference …, 2014 - ieeexplore.ieee.org
This work shows an innovative solution in order to enable the predisposition to the
mathematics, by using auto-regulation of learning objectives, personalization for obtaining …