Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student (e.g., maybe girls do better with video hints while boys do better with text hints). To evaluate a learning intervention inside ASSISTments, we run a randomized cont...
Main Author: | Zhao, Siyuan |
---|---|
Other Authors: | Neil T. Heffernan, Advisor |
Format: | Others |
Published: |
Digital WPI
2018
|
Subjects: | |
Online Access: | https://digitalcommons.wpi.edu/etd-dissertations/189 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1188&context=etd-dissertations |
Similar Items
-
CoCoA-diff: counterfactual inference for single-cell gene expression analysis
by: Yongjin P. Park, et al.
Published: (2021-08-01) -
How women with intimate partner violence (IPV) reason about other's intentions: effect of IPV on counterfactual inferences among healthy high socioeconomic level women from Turkey
by: Ahmet Gul, et al. -
WhatIF: R Software for Evaluating Counterfactuals
by: Heather Stoll, et al.
Published: (2005-12-01) -
A Linear “Microscope” for Interventions and Counterfactuals
by: Pearl Judea
Published: (2017-03-01) -
Regret, Relief, and Counterfactual Thinking: The Effect of Outcome Valence on Counterfactual Thinking
by: Fenderson, Carl R.
Published: (2014)