The American Society for Engineering Education (ASEE) Mid-Atlantic Spring  2018 Conference, which took place at the University of the District of Columbia from April 6-7, was a great opportunity to network with peers in the field of Eng. education. In the conference, I served as a co-chair alongside Dr. Rocia Alba-Flores. Moreover, I had the opportunity to present our paper “Towards Personalized Performance Feedback: Mining the Dynamics of Facial Keypoint Data in Engineering Lab Environments“. This work is the continuation of our research on mining students’ facial expression and implementing machine learning models to predict their performance prior to the start of a task. The proposed individual-task machine learning model was validated with data of students collected in an engineering lab environment. The performance of the model shows its potential to advance the field of personalized learning. This paper won the Mid-Atlantic ASEE Best Paper Award (see presentation). Similarly, we presented a poster titled “Exploring Human-Co-Robot Interactions: Real-time Feedback or not?“.  In this work, we started exploring the effects that real-time feedback has on student performance, and how it might be counterproductive (under certain circumstances) provide students with real-time feedback of their performance (e.g., negative performance feedback).

I have to thank the Center for Engineering Outreach and Inclusion at Penn State, especially Mrs. Helen Edson and Mrs. Erin Hostetler, for the financial support and help provided that allowed me to attend this conference. Here are just a few pictures of the event.