Multimodal learning analytics for game‐based learning
A distinctive feature of game‐based learning environments is their capacity to create
learning experiences that are both effective and engaging. Recent advances in sensor …
learning experiences that are both effective and engaging. Recent advances in sensor …
Exploring the role of gaze behaviour in socially shared regulation of collaborative learning in a group task
R Whitehead, A Nguyen… - Journal of Computer …, 2024 - Wiley Online Library
Background The necessity of supporting socially shared regulation of learning (SSRL) for
learners is widely acknowledged as a crucial element for successful collaborative learning …
learners is widely acknowledged as a crucial element for successful collaborative learning …
Lifelong learning from sustainable education: An analysis with eye tracking and data mining techniques
MC Sáiz Manzanares, JJ Rodríguez Diez… - Sustainability, 2020 - mdpi.com
The use of learning environments that apply Advanced Learning Technologies (ALTs) and
Self-Regulated Learning (SRL) is increasingly frequent. In this study, eye-tracking …
Self-Regulated Learning (SRL) is increasingly frequent. In this study, eye-tracking …
Methodological considerations for understanding students' problem solving processes and affective trajectories during game-based learning: A data fusion approach
This paper describes methodological considerations for fusing data sources in
understanding both affective and problem solving states of students as they engage in …
understanding both affective and problem solving states of students as they engage in …
Clustering Learner's Metacognitive Judgment Accuracy and Bias to Explore Learning with AIEd Systems
Metacognitive monitoring and regulation are key dynamic psychological processes in
predicting learning, reasoning, and problem solving across AIEd systems. They are …
predicting learning, reasoning, and problem solving across AIEd systems. They are …
[PDF][PDF] Can a Composite Metacognitive Judgment Accuracy Score Successfully Capture Performance Variance during Multimedia Learning?
M Wiedbusch, R Azevedo, M Brown - CogSci, 2020 - cognitivesciencesociety.org
Theoretical models of self-regulated learning highlight the importance and dynamic nature
of metacognitive monitoring and regulation. However, traditional research typically has not …
of metacognitive monitoring and regulation. However, traditional research typically has not …
[图书][B] Multimodal Learning Analytics and Predictive Student Modeling for Game-Based Learning
AJ Emerson - 2021 - search.proquest.com
A distinctive feature of game-based learning environments is their capacity to create
learning experiences that are both effective and engaging. Recent advances in sensor …
learning experiences that are both effective and engaging. Recent advances in sensor …