20 citations · 51 across the 5 of their papers we have counts for
5 papers
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
Paul Denny, Sumit Gulwani, Neil T. Heffernan +4
This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a c…
Getting too personal(ized): The importance of feature choice in online adaptive algorithms
ZhaoBin Li, Luna Yee, Nathaniel Sauerberg +3
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact…
Using Adaptive Experiments to Rapidly Help Students
Angela Zavaleta-Bernuy, Qi Yin Zheng, Hammad Shaikh +4
Adaptive experiments can increase the chance that current students obtain better outcomes from a field experiment of an instructional intervention. In such experiments, the probabi…
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits
Fernando J. Yanez, Angela Zavaleta-Bernuy, Ziwen Han +3
Conducting randomized experiments in education settings raises the question of how we can use machine learning techniques to improve educational interventions. Using Multi-Armed Ba…
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons
Angela Zavaleta-Bernuy, Ziwen Han, Hammad Shaikh +5
Email communication between instructors and students is ubiquitous, and it could be valuable to explore ways of testing out how to make email messages more impactful. This paper ex…