24 citations · 43 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
Joseph Jay Williams, Jacob Nogas, Nina Deliu +4
Multi-armed bandit algorithms have been argued for decades as useful for adaptively randomized experiments. In such experiments, an algorithm varies which arms (e.g. alternative in…
Sequential Explanations with Mental Model-Based Policies
Arnold YS Yeung, Shalmali Joshi, Joseph Jay Williams +1
The act of explaining across two parties is a feedback loop, where one provides information on what needs to be explained and the other provides an explanation relevant to this inf…