Using educational data mining techniques to identify profiles in self-regulated learning: an empirical evaluation

E Araka, R Oboko, E Maina, R Gitonga - … Review of Research in Open and …, 2022‏ - irrodl.org
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important
to make use of the huge amounts of educational data generated from online learning …

Machine behaviourism: Future visions of 'learnification'and 'datafication'across humans and digital technologies

J Knox, B Williamson, S Bayne - Learning, Media and Technology, 2020‏ - Taylor & Francis
This paper examines visions of 'learning'across humans and machines in a near-future of
intensive data analytics. Building upon the concept of 'learnification', practices of 'learning'in …

Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts

G Sedrakyan, E Mannens, K Verbert - Journal of Computer Languages, 2019‏ - Elsevier
Learning dashboards are known to improve decision-making by visualizing learning
processes and hel** to track where learning processes evolve as expected and where …

Learning analytics based on wearable devices: A systematic literature review from 2011 to 2021

Z Liu, Y Ren, X Kong, S Liu - Journal of Educational …, 2022‏ - journals.sagepub.com
Wearable devices are an emerging technological tool in the field of learning analytics. With
the help of wearable technologies, an increasing number of scholars have a strong interest …

Learning pulse: A machine learning approach for predicting performance in self-regulated learning using multimodal data

D Di Mitri, M Scheffel, H Drachsler, D Börner… - Proceedings of the …, 2017‏ - dl.acm.org
Learning Pulse explores whether using a machine learning approach on multimodal data
such as heart rate, step count, weather condition and learning activity can be used to predict …

[HTML][HTML] Fitbit for learning: Towards capturing the learning experience using wearable sensing

MN Giannakos, K Sharma, S Papavlasopoulou… - International Journal of …, 2020‏ - Elsevier
The assessment of learning during class activities mostly relies on standardized
questionnaires to evaluate the efficacy of the learning design elements. However …

Research in learning analytics and educational data mining to measure self-regulated learning: A systematic review

AA ElSayed, M Caeiro-Rodríguez… - World conference on …, 2019‏ - learntechlib.org
Up to date, most of the research to measure Self-Regulated Learning in students has
primarily utilized self-report instruments. Recently, there has been a growing tendency …

Research on wearable technologies for learning: a systematic review

SL Chu, BM Garcia, N Rani - Frontiers in Education, 2023‏ - frontiersin.org
A good amount of research has explored the use of wearables for educational or learning
purposes. We have now reached a point when much literature can be found on that topic …

Measuring and Promoting Self-Regulated Learning Using Spaced Questionnaires

AA ElSayed, M Caeiro-Rodríguez, FA Mikic-Fonte… - IEEE …, 2024‏ - ieeexplore.ieee.org
Self-Regulated Learning addresses key students' competences for performance in higher
education, particularly in engineering disciplines. Assessing these competences helps …

Towards the use of commercial wrist wearables in education

F de Arriba-Pérez, M Caeiro-Rodríguez… - 2017 4th Experiment …, 2017‏ - ieeexplore.ieee.org
This paper is about the use of commercial wrist wearables in education, more specifically,
about how to support smart education in the context of new smart universities. Wrist …