Employing automatic content recognition for teaching methodology analysis in classroom videos

MA Rafique, F Khaskheli, MT Hassan, S Naseer… - Plos one, 2022 - journals.plos.org
A teacher plays a pivotal role in grooming a society and paves way for its social and
economic developments. Teaching is a dynamic role and demands continuous adaptation …

Detecting teachers' in-classroom interactions using a deep learning based action recognition model

H Kuromiya, R Majumdar, H Ogata - International Conference on Artificial …, 2022 - Springer
In-classroom observations often rely on developed protocols and human observers.
However, it requires a lot of human effort. This study investigates how accurately the pre …

[PDF][PDF] Using Student Action Recognition to Enhance the Efficiency of Tele-education.

E Dimitriadou, A Lanitis - VISIGRAPP (5: VISAPP), 2022 - academia.edu
Due to the COVID-19 pandemic, many schools worldwide are using tele-education for class
delivery. However, this causes a problem related to students' active class participation. We …

STAR-3D: A Holistic Approach for Human Activity Recognition in the Classroom Environment

V Sharma, M Gupta, A Kumar, D Mishra - Information, 2024 - mdpi.com
The video camera is essential for reliable activity monitoring, and a robust analysis helps in
efficient interpretation. The systematic assessment of classroom activity through videos can …

A new dataset and systematic evaluation of deep learning models for student activity recognition from classroom videos

PD Nguyen, HQ Nguyen, TB Nguyen… - … Analysis and Pattern …, 2022 - ieeexplore.ieee.org
Student activity, a non-verbal modality, is an important cue to imply the students' learning
state and engagement level during class. Quantitative observation of the student activities …

Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students' behaviors in classroom scenes

B Sun, Y Wu, K Zhao, J He, L Yu, H Yan… - Neural Computing and …, 2021 - Springer
The massive increase in classroom video data enables the possibility of utilizing artificial
intelligence technology to automatically recognize, detect and caption students' behaviors …

Identifying and Monitoring Students' Classroom Learning Behavior Based on Multisource Information

CC Yin Albert, Y Sun, G Li, J Peng… - Mobile Information …, 2022 - Wiley Online Library
Understanding human activity and behavior, particularly real‐time understanding in video
feeds, is one of the most active areas of research in Computer Vision (CV) and Artificial …

An application of machine learning and image processing to automatically detect teachers' gestures

J Hernández Correa, D Farsani, R Araya - Advances in Computational …, 2020 - Springer
Providing teachers with detailed feedback about their gesticulation in class requires either
one-on-one expert coaching, or highly trained observers to hand code classroom …

Recognition of Teaching Features and Behaviors in Online Open Courses Based on Image Processing.

S Li, H Chai - Traitement du Signal, 2021 - search.ebscohost.com
High-quality online open courses have a wide audience. To further improve the quality of
these courses, it is critical to analyze the teaching behaviors in class, which are the …

Bag of deep features for instructor activity recognition in lecture room

N Nida, MH Yousaf, A Irtaza, SA Velastin - International Conference on …, 2018 - Springer
This research aims to explore contextual visual information in the lecture room, to assist an
instructor to articulate the effectiveness of the delivered lecture. The objective is to enable a …