Improving the measurement of self-regulated learning using multi-channel data

Y Fan, L Lim, J Van der Graaf, J Kilgour… - Metacognition and …, 2022 - Springer
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on
log data recorded by digital learning environments have attracted increasing attention …

Comparing virtual and location-based augmented reality mobile learning: emotions and learning outcomes

JM Harley, EG Poitras, A Jarrell, MC Duffy… - Educational Technology …, 2016 - Springer
Research on the effectiveness of augmented reality (AR) on learning exists, but there is a
paucity of empirical work that explores the role that positive emotions play in supporting …

Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies

R Azevedo, M Taub, NV Mudrick - Handbook of self-regulation of …, 2017 - taylorfrancis.com
Self-regulated learning (SRL) involves learners' ability to monitor and regulate their
cognitive, affective, metacognitive, and motivational (CAMM) processes and plays a critical …

Procrastinating behavior in computer-based learning environments to predict performance: A case study in Moodle

R Cerezo, M Esteban, M Sánchez-Santillán… - Frontiers in …, 2017 - frontiersin.org
Introduction: Research about student performance has traditionally considered academic
procrastination as a behavior that has negative effects on academic achievement. Although …

Towards a fuller picture: Triangulation and integration of the measurement of self‐regulated learning based on trace and think aloud data

Y Fan, M Rakovic, J van Der Graaf… - Journal of Computer …, 2023 - Wiley Online Library
Background Many learners struggle to productively self‐regulate their learning. To support
the learners' self‐regulated learning (SRL) and boost their achievement, it is essential to …

Utilizing VR and gaze tracking to develop AR solutions for industrial maintenance

A Burova, J Mäkelä, J Hakulinen, T Keskinen… - Proceedings of the …, 2020 - dl.acm.org
Augmented reality (AR) presents a variety of possibilities for industrial maintenance.
However, the development of real-world AR solutions has been limited due to the …

Breaking out of the lab: Mitigating mind wandering with gaze-based attention-aware technology in classrooms

S Hutt, K Krasich, J R. Brockmole… - Proceedings of the 2021 …, 2021 - dl.acm.org
We designed and tested an attention-aware learning technology (AALT) that detects and
responds to mind wandering (MW), a shift in attention from task-related to task-unrelated …

Predicting affect from gaze data during interaction with an intelligent tutoring system

N Jaques, C Conati, JM Harley, R Azevedo - … , Honolulu, HI, USA, June 5-9 …, 2014 - Springer
In this paper we investigate the usefulness of eye tracking data for predicting emotions
relevant to learning, specifically boredom and curiosity. The data was collected during a …

The maximizing mind-set

J Ma, NJ Roese - Journal of Consumer Research, 2014 - academic.oup.com
Getting the best has been advocated as an ideal in almost every domain of life. We propose
that maximizing constitutes a mind-set that may be situationally activated and has cross …

How does prior knowledge influence eye fixations and sequences of cognitive and metacognitive SRL processes during learning with an intelligent tutoring system?

M Taub, R Azevedo - International Journal of Artificial Intelligence in …, 2019 - Springer
The goal of this study was to use eye-tracking and log-file data to investigate the impact of
prior knowledge on college students'(N= 194, with a subset of n= 30 for eye tracking and …