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Attentive or not? Toward a machine learning approach to assessing students' visible engagement in classroom instruction
Teachers must be able to monitor students' behavior and identify valid cues in order to draw
conclusions about students' actual engagement in learning activities. Teacher training can …
conclusions about students' actual engagement in learning activities. Teacher training can …
Smart classrooms: How sensors and ai are sha** educational paradigms
X Zhang, Y Ding, X Huang, W Li… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The integration of advanced technologies is revolutionizing classrooms, significantly
enhancing their intelligence, interactivity, and personalization. Central to this transformation …
enhancing their intelligence, interactivity, and personalization. Central to this transformation …
Multimodal engagement analysis from facial videos in the classroom
Student engagement is a key component of learning and teaching, resulting in a plethora of
automated methods to measure it. Whereas most of the literature explores student …
automated methods to measure it. Whereas most of the literature explores student …
Gauging attention of students in an e-learning environment
The effectiveness of pedagogy lies in whether the student is able to grasp the concepts
explained in the lecture. In classrooms lectures, professors can understand from the body …
explained in the lecture. In classrooms lectures, professors can understand from the body …
DeepFocus: Deep encoding brainwaves and emotions with multi-scenario behavior analytics for human attention enhancement
Evaluation of the degree of attention has very important practical significance and
application prospects in our lives. It plays considerably important functions in the fields of …
application prospects in our lives. It plays considerably important functions in the fields of …
Extracting velocity-based user-tracking features to predict learning gains in a virtual reality training application
Virtual Reality (VR) for training and education of real-world tasks has been researched
extensively and has growing use in industry. The data generated by trainees in VR could be …
extensively and has growing use in industry. The data generated by trainees in VR could be …
" An Instructor is [already] able to keep track of 30 students": Students' Perceptions of Smart Classrooms for Improving Teaching & Their Emergent Understandings of …
TJ Ngoon, D Kovalev, P Patidar, C Harrison… - Proceedings of the …, 2023 - dl.acm.org
Multi-modal classroom sensing systems can collect complex behaviors in the classroom at a
scale and precision far greater than human observers to capture learning insights and …
scale and precision far greater than human observers to capture learning insights and …
Teachers' perception in the classroom
The ability for a teacher to engage all students in active learning processes in classroom
constitutes a crucial prerequisite for enhancing students achievement. Teachers' attentional …
constitutes a crucial prerequisite for enhancing students achievement. Teachers' attentional …
Classification of attention levels using a Random Forest algorithm optimized with Particle Swarm Optimization
MG Bedolla-Ibarra, MDC Cabrera-Hernandez… - Evolving Systems, 2022 - Springer
Attention is one of the most important cognitive functions since it allows us to discriminate
irrelevant stimuli when performing an activity. The presence of an attention deficit …
irrelevant stimuli when performing an activity. The presence of an attention deficit …
Moment-to-moment continuous attention fluctuation monitoring through consumer-grade EEG device
While numerous studies have explored using various sensing techniques to measure
attention states, moment-to-moment attention fluctuation measurement is unavailable. To …
attention states, moment-to-moment attention fluctuation measurement is unavailable. To …