EDM 2021 WORKSHOP
REGISTER & PARTICIPATE
The long-term success of any community of research and practice depends on bringing in the next generation of scholars to participate in the field. The objective of this workshop is to showcase the work of next-generation scholars and practitioners in education data mining, including both undergraduates and advanced high school students, and facilitate conversations on how we can create a talent pipeline in the field. Undergraduates have been at the forefront of generating interest in learning engineering and educational data mining, and this workshop will crucially feature their work and center their perspective.
While the Call for Papers has passed, we encourage all interested in joining us to RSVP here. Details on how to register will be circulated over email and can be found on the EDM Conference website.
All times in eastern time U.S.
9am: Welcome remarks from the organizers
9:05am: Panel discussion on building the undergraduate talent pipeline followed by a live Q&A with the audience.
- Zach Pardos, Associate Professor, University of California, Berkeley
- Katrina Yu, Undergraduate Student, Dartmouth College
- Stephanie Tzeng, Director of Data Science, Newsela
- Moderated by Samuel Ching, Product Manager, Duolingo
10am: Small group networking opportunity. Participants will be divided into small breakout groups of 3-5. Every 15 minutes, participants will be circulated into a new group. There will be four rounds of breakout sessions, ensuring that participants have the opportunity to network broadly.
11:00am: Panel discussion on career opportunities in the field of EDM, followed by a live Q&A with the audience.
- Stephen Aguillar, Assistant Professor in Education, University of Southern California
- Christine Gouveia, Vice President of Applied Learning Sciences, Elsevier.
- Anne Sinatra, Research Psychologist and Adaptive Tutoring Researcher, U.S. Army DEVCOM Soldier Center
- Moderated by Kumar Garg, Managing Director, Schmidt Futures
12:00pm: Break for lunch
12:30pm: Series of 7, 20-minute live presentations on solicited papers from undergraduate students with live real-time discussion with the authors
4pm: Award for best paper
4:30pm: End of workshop
2021 Award for Best Paper
Congratulations Sonia Cromp!
Sonia Cromp graduated from the University of Pittsburgh with a BS in Computer Science, BA in Linguistics and minor in Bosnian/Croatian/Serbian language in May and will start her PhD in Computer Science at the University of Wisconsin-Madison this fall. Her interests lie broadly in natural language processing and machine learning, with a focus on making these technologies more reliable and useful in the real world.
- Ryan Baker is Associate Professor in the Graduate School of Education at University of Pennsylvania. He and his colleagues have created detectors in educational software to analyze students’ emotional and meta-cognitive behaviors during online classes to study and improve student engagement and retention.
- Caitlin Mills is an Assistant Professor of Psychology at the University of New Hampshire. Her work focuses on how mind wandering and engagement impact learning outcomes, and utilizes computer science and machine learning to predict and respond to student mind wandering.
- Ulrich Boser is the founder of The Learning Agency and The Learning Agency Lab. He is a senior fellow at the Center for American Progress and an advisor to Schmidt Futures.