ASSISTments Dataset from Multiple Randomized Controlled Experiments. - Douglas Selent; Thanaporn Patikorn; Neil T. Heffernan (L@S, 2016)

An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. - Thanaporn Patikorn; Neil T. Heffernan; Jian Zou (EDM, 2017)

Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. - Thanaporn Patikorn; Douglas Selent; Neil T. Heffernan; Joseph Beck 001; Jian Zou (EDM, 2017)

Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. - Biao Yin; Anthony F. Botelho; Thanaporn Patikorn; Neil T. Heffernan; Jian Zou (EDM, 2017)

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. - Biao Yin; Thanaporn Patikorn; Anthony F. Botelho; Neil T. Heffernan (L@S, 2017)

Using Big Data to Sharpen Design-Based Inference in A/B Tests. - Adam Sales; Anthony Botelho; Thanaporn Patikorn; Neil T. Heffernan (EDM, 2018)

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. - Shayan Doroudi; Joseph Jay Williams; Juho Kim 001; Thanaporn Patikorn; Korinn Ostrow; Douglas Selent; Neil T. Heffernan; Thomas T. Hills; Carolyn P. Rosé (ICLS, 2018)

Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts. - Thanaporn Patikorn; David Deisadze; Leo Grande; Ziyang Yu; Neil T. Heffernan (AIED (1), 2019)

Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. - Anthony F. Botelho; Ashvini Varatharaj; Thanaporn Patikorn; Diana Doherty; Seth Akonor Adjei; Joseph E. Beck (IEEE Trans. Learn. Technol., 2019)

Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms. - Thanaporn Patikorn; Neil T. Heffernan (L@S, 2020)

Toward Personalizing Students' Education with Crowdsourced Tutoring. - Ethan Prihar; Thanaporn Patikorn; Anthony Botelho; Adam Sales; Neil T. Heffernan (L@S, 2021)