Attentive or not? Toward a machine learning approach to assessing students' visible engagement in classroom instruction

P Goldberg, Ö Sümer, K Stürmer, W Wagner… - Educational Psychology …, 2021 - Springer
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 …

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 …

Multimodal engagement analysis from facial videos in the classroom

Ö Sümer, P Goldberg, S D'Mello… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Gauging attention of students in an e-learning environment

A Revadekar, S Oak, A Gadekar… - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
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 …

DeepFocus: Deep encoding brainwaves and emotions with multi-scenario behavior analytics for human attention enhancement

M Chen, Y Cao, R Wang, Y Li, D Wu, Z Liu - IEEE Network, 2019 - ieeexplore.ieee.org
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 …

Extracting velocity-based user-tracking features to predict learning gains in a virtual reality training application

AG Moore, RP McMahan, H Dong… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
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 …

" 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 …

Teachers' perception in the classroom

O Sumer, P Goldberg, K Sturmer… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

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 …

Moment-to-moment continuous attention fluctuation monitoring through consumer-grade EEG device

S Zhang, Z Yan, S Sapkota, S Zhao, WT Ooi - Sensors, 2021 - mdpi.com
While numerous studies have explored using various sensing techniques to measure
attention states, moment-to-moment attention fluctuation measurement is unavailable. To …