4 papers
Automatic Assessment of Students' Classroom Engagement with Bias Mitigated Multi-task Model
James Thiering, Tarun Sethupat Radha Krishna, Dylan Zelkin +1
With the rise of online and virtual learning, monitoring and enhancing student engagement have become an important aspect of effective education. Traditional methods of assessing a…
ViBED-Net: Video Based Engagement Detection Network Using Face-Aware and Scene-Aware Spatiotemporal Cues
Prateek Gothwal, Deeptimaan Banerjee, Ashis Kumer Biswas
Engagement detection in online learning environments is vital for improving student outcomes and personalizing instruction. We present ViBED-Net (Video-Based Engagement Detection N…
ExpressNet-MoE: A Hybrid Deep Neural Network for Emotion Recognition
Deeptimaan Banerjee, Prateek Gothwal, Ashis Kumer Biswas
In many domains, including online education, healthcare, security, and human-computer interaction, facial emotion recognition (FER) is essential. Real-world FER is still difficult…
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations
Ashis Kumer Biswas, Geeta Verma, Justin Otto Barber
We introduce a machine-in-the-loop pipeline that aims to address root causes of unwanted bias in natural language based supervised machine learning tasks in the education domain. L…