Biography:
I am a PhD student at the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University, advised by Dr. John Stamper. I use my background in learning science, computer science, and applied natural language processing to create and evaluate educational content for online courseware. This has led to advancements in learnersourcing, crowdsourcing, and human-AI partnerships. I am also passionate about pedagogy, having taught and redesigned multiple courses at Carnegie Mellon University and elsewhere.
Current PhD Project:
My research revolves around building a tool that can be used by teachers, students, and instructional designers to create effective questions and evaluate them in real time. Using recent advances in natural language processing, we can automatically assess educational question quality in real-time and provide feedback on how to improve them. Across my previous work, I explored having students generate questions and methodologies for assessing the caliber of these questions through a combination of crowdsourcing and automated procedures. My results have shown students’ potential in creating effective questions, yet emphasizes the need for consistent support to ensure high-quality question formulation.
Events
| ID | Event Name | Duration | Start Date |
|---|---|---|---|
| Session 10: Learning Design | 1 Hours | 09/08/2023 | |
| Session 1: Generative AI for Learning & Teaching | 2 Hours | 09/06/2023 | |
| Session: Intelligent Systems and Technological Devices | 2 Hours | 05/10/2024 |