In-class Student Emotion and Engagement Detection System (iSEEDS): An AI-based Approach for Responsive Teaching

Author:

Vishnumolakala Sai Krishna1,Vallamkonda VSNV Sadwika1,C Sobin C1,Subheesh N. P.2,Ali Jahfar3

Affiliation:

1. SRM University AP,Dept. of CSE,Andhra Pradesh,India

2. IIT Madras,Dept. of HSS,Chennai,Tamilnadu,India

3. IIIT Hyderabad,LTRC,Telangana,India

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Confusion-Enhanced Deep Learning Model for Knowledge Tracing;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

2. Enhancing Engagement in Virtual Classrooms: A Contactless Multi-Modal Emotion Detection Model;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

3. Exploring the Impact of ‘Emotion-Recognition-AI’ on Consumer Trust and Satisfaction;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

4. Assessing Student Engagement Levels Using Speech Emotion Recognition;Algorithms for Intelligent Systems;2024

5. Research and Modeling of Cognitive Rule of Name Novelty Based on Machine Learning and Random Forest Method;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

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