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Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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How Shared Online Whiteboard Supports Online Collaborative Design Activities: A Social Interaction Perspective
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Introduction to Multimodal Learning Analytics
inferredcites →https://doi.org/10.1007/978-3-031-08076-0_12openalex-snapshot
The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review
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Learning Analytics for Smart Learning Environments: A Meta-Analysis of Empirical Research Results from 2009 to 2015
inferredcites →https://doi.org/10.1007/s10648-010-9128-5openalex-snapshot
Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load
inferredcites →https://doi.org/10.1007/s11257-017-9188-zopenalex-snapshot
Affective learning: improving engagement and enhancing learning with affect-aware feedback
inferredcites →https://doi.org/10.1007/s11257-019-09228-5openalex-snapshot
Automated gaze-based mind wandering detection during computerized learning in classrooms
inferredcites →https://doi.org/10.1007/s40692-020-00173-6openalex-snapshot
Cognitive load management in mobile learning systems: principles and theories
inferredcites →https://doi.org/10.1016/j.anr.2019.01.005openalex-snapshot
Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis
inferredcites →https://doi.org/10.1016/j.apergo.2019.03.004openalex-snapshot
User-interfaces layout optimization using eye-tracking, mouse movements and genetic algorithms
inferredcites →https://doi.org/10.1016/j.chb.2013.05.031openalex-snapshot
Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning
inferredcites →https://doi.org/10.1016/j.cmpb.2012.10.021openalex-snapshot
Automatic classification of eye activity for cognitive load measurement with emotion interference
inferredcites →https://doi.org/10.1016/j.compedu.2005.10.011openalex-snapshot
Mobile learning: A framework and evaluation
inferredcites →https://doi.org/10.1016/j.compedu.2019.103618openalex-snapshot
Cognitive load in multimedia learning environments: A systematic review
inferredcites →https://doi.org/10.1016/j.ergon.2013.02.002openalex-snapshot
Automatic cognitive load evaluation using writing features: An exploratory study
inferredcites →https://doi.org/10.1016/j.heliyon.2021.e06020openalex-snapshot
Exploring user experience of digital pen and tablet technology for learning chemistry: applying an activity theory lens
inferredcites →https://doi.org/10.1016/j.ijhcs.2019.102374openalex-snapshot
Linking students’ emotions to engagement and writing performance when learning Japanese letters with a pen-based tablet: An investigation based on individual pen pressure parameters
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2019.02.003openalex-snapshot
Multimodal data as a means to understand the learning experience
inferredcites →https://doi.org/10.1016/s0149-2063(03)00079-5openalex-snapshot
Reflections on the Looking Glass: A Review of Research on Feedback-Seeking Behavior in Organizations
inferredcites →https://doi.org/10.1023/a:1022193728205openalex-snapshot
Cognitive Architecture and Instructional Design
inferredcites →https://doi.org/10.1037//0022-0663.84.4.429openalex-snapshot
Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach.
inferredcites →https://doi.org/10.1037/a0014272openalex-snapshot
Interacting effects of cognitive load and adult age on the regularity of whole-body motion during treadmill walking.
inferredcites →https://doi.org/10.1080/10447318.2021.1976509openalex-snapshot
Measuring Visual Fatigue and Cognitive Load via Eye Tracking while Learning with Virtual Reality Head-Mounted Displays: A Review
inferredcites →https://doi.org/10.1080/10494820.2020.1833042openalex-snapshot
Relationship between objective and subjective cognitive load measurements in multimedia learning
inferredcites →https://doi.org/10.1080/10494820.2021.1936075openalex-snapshot
Academic development of multimodal learning analytics: a bibliometric analysis
inferredcites →https://doi.org/10.1109/iccae51876.2021.9426165openalex-snapshot
Classifying Solving Behavior by Handwriting on Tablets
inferredcites →https://doi.org/10.1109/icdar.2013.225openalex-snapshot
Mental Workload Classification via Online Writing Features
inferredcites →https://doi.org/10.1109/icecos47637.2019.8984501openalex-snapshot
Smartphone and Mobile Learning to Support Experiential Learning
inferredcites →https://doi.org/10.1109/norbert.2016.7547466openalex-snapshot
Blink rate variability during resting and reading sessions
inferredcites →https://doi.org/10.1111/bjet.12854openalex-snapshot
Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach
inferredcites →https://doi.org/10.1111/bjet.12958openalex-snapshot
Multimodal learning analytics to investigate cognitive load during online problem solving
inferredcites →https://doi.org/10.1111/bjet.12993openalex-snapshot
Multimodal data capabilities for learning: What can multimodal data tell us about learning?
inferredcites →https://doi.org/10.1111/jcal.12232openalex-snapshot
Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data
inferredcites →https://doi.org/10.1111/jcal.12263openalex-snapshot
Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning
inferredcites →https://doi.org/10.1117/12.2008206openalex-snapshot
Investigation of visual fatigue/discomfort generated by S3D video using eye-tracking data
inferredcites →https://doi.org/10.1119/perc.2017.pr.113openalex-snapshot
Use of Eye-Tracking Technology to Investigate Cognitive Load Theory
inferredcites →https://doi.org/10.1145/2395123.2395127openalex-snapshot
Multimodal behavior and interaction as indicators of cognitive load
inferredcites →https://doi.org/10.1145/2460296.2460316openalex-snapshot
Multimodal learning analytics
inferredcites →https://doi.org/10.1145/2993148.2993202openalex-snapshot
Using touchscreen interaction data to predict cognitive workload
inferredcites →https://doi.org/10.1145/2993901.2993908openalex-snapshot
Measuring Cognitive Load using Eye Tracking Technology in Visual Computing
inferredcites →https://doi.org/10.1145/3027385.3027414openalex-snapshot
The influence of data protection and privacy frameworks on the design of learning analytics systems
inferredcites →https://doi.org/10.1145/3107990.3108002openalex-snapshot
Multimodal behavioral and physiological signals as indicators of cognitive load
inferredcites →https://doi.org/10.1145/3213309openalex-snapshot
Dynamic Handwriting Signal Features Predict Domain Expertise
inferredcites →https://doi.org/10.1145/3375462.3375484openalex-snapshot
Modelling collaborative problem-solving competence with transparent learning analytics
inferredcites →https://doi.org/10.1145/3375462.3375504openalex-snapshot
Learning analytics dashboards
inferredcites →https://doi.org/10.15215/aupress/9781897425435.01openalex-snapshot
Mobile Learning: Transforming the Delivery of Education and Training
inferredcites →https://doi.org/10.18608/jla.2016.32.11openalex-snapshot
Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks
inferredcites →https://doi.org/10.18608/jla.2017.43.3openalex-snapshot
A Measurement Model of Gestures in an Embodied Learning Environment: Accounting for Temporal Dependencies
inferredcites →https://doi.org/10.18608/jla.2018.53.8openalex-snapshot
Using Temporal Analytics to Detect Inconsistencies Between Learning Design and Students’ Behaviours
inferredcites →https://doi.org/10.2190/ec.51.4.dopenalex-snapshot
Designing Applications for Physics Learning: Facilitating High School Students' Conceptual Understanding by Using Tablet PCS
inferredcites →https://doi.org/10.3389/fpsyg.2019.02098openalex-snapshot
Embodied Learning: Why at School the Mind Needs the Body
inferredcites →https://doi.org/10.3390/educsci9020090openalex-snapshot
Impact of Mobile Learning on Students’ Achievement Results
inferredcites →https://doi.org/10.3991/ijim.v9i3.4420openalex-snapshot
A Review of Mobile Learning Applications for Mathematics
inferredcites →https://doi.org/10.64152/10125/24503openalex-snapshot
Tablets for informal language learning: Student usage and attitudes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5083116openalex-extracted
An Intelligent Mobile Application to Classify Employee Mental Workload Based on Eeg Dataset Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-29763-1_15openalex-snapshot
Beyond Correctness: A Stage-Aware Framework for Decoding Student Problem-Solving Processes from Handwriting Trajectories
inferred← citeshttps://doi.org/10.1007/s10639-025-13388-wopenalex-snapshot
Integrating CALL and AIALL for an interactive pedagogical model of language learning
inferred← citeshttps://doi.org/10.1007/s11409-026-09482-0openalex-snapshot
Tracing the learning experience in a digital learning environment: Insights from pen pressure and facial expressions in primary school children
inferred← citeshttps://doi.org/10.1016/j.compedu.2025.105263openalex-snapshot
Eye tracking technology for examining cognitive processes in education: A systematic review
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103275openalex-snapshot
Evaluating the impact of AIGC-Supported design ideation on Designers’ cognitive load and creativity
inferred← citeshttps://doi.org/10.1016/j.ergon.2025.103822openalex-snapshot
Impact of AI recommendation styles on carbon management technicians' trust: Dual process of cognitive effort and emotion
inferred← citeshttps://doi.org/10.1038/s41598-025-89336-yopenalex-snapshot
Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators
inferred← citeshttps://doi.org/10.1038/s41598-026-51704-7openalex-snapshot
Exploring how textual complexity affects cognitive load during reading: an eye-tracking study
inferred← citeshttps://doi.org/10.1080/07421222.2025.2520178openalex-snapshot
Mixed Signals: The Effects of Online Rating Discrepancy on User Trust
inferred← citeshttps://doi.org/10.1109/access.2025.3613292openalex-snapshot
Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices
inferred← citeshttps://doi.org/10.1109/icetc66579.2025.11387554openalex-snapshot
Assessing the Presence of Problem-Solving Strategies in Math Problems Using Eye Gaze and Pen Stroke Data
inferred← citeshttps://doi.org/10.1145/3806040openalex-snapshot
Gaze-based Prediction of Cognitive Load in Augmented Reality ETRA026
inferred← citeshttps://doi.org/10.1155/acis/6217419openalex-snapshot
Contactless Multimodal Cognitive Load Estimation for African Remote Learners
inferred← citeshttps://doi.org/10.21203/rs.3.rs-7285350/v1openalex-snapshot
Multimodal Classification of Cognitive Workload Using Eye-Tracking, ECG, and Head Motion Data in Simulated Military Missions
inferred← citeshttps://doi.org/10.3389/fneur.2026.1753883openalex-snapshot
Editorial: Integrating multimodal approaches to unravel neural mechanisms of learning and cognition
inferred← citeshttps://doi.org/10.3390/app14219831openalex-snapshot
Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model
inferred← citeshttps://doi.org/10.3390/s24134215openalex-snapshot
When Trustworthiness Meets Face: Facial Design for Social Robots
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