Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2022
Supervisor
Dr. Imran Khan, Assistant Professor, Department of Computer Science
Abstract
In this project problem of teacher monitoring student attention is made easier with technology. Teacher can learn about students’ actual engagement in learning activities. Assessing students’ attention-related processes through visible indicators of disengagement in learning become more effective if automated analysis can be employed. Neural network is used to train a model and computer vision libraries are used to detect facial features and emotions. Dataset is used to train the model and then test data is used to detect whether the student is drowsy or active or frustrated etc. Points are calculated for what the emotion is detected.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Shah, Syed A.. "Assessing students visual engagement in classroom instruction." Unpublished graduate research project. Institute of Business Administration. 2022. https://ir.iba.edu.pk/research-projects-mscs/9
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