Thanaporn Patikorn

According to our database, Thanaporn Patikorn authored at least 11 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Toward Personalizing Students' Education with Crowdsourced Tutoring.

Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

2020

Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms.

Thanaporn Patikorn, Neil T. Heffernan

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

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

Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts.

Thanaporn Patikorn, David Deisadze, Leo Grande, Ziyang Yu, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing.

Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Using Big Data to Sharpen Design-Based Inference in A/B Tests.

Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees.

Biao Yin, Thanaporn Patikorn, Anthony F. Botelho, Neil T. Heffernan

Proceedings of the Fourth ACM Conference on Learning @ Scale, 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

Proceedings of the 10th International Conference on Educational Data Mining, 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, Jian Zou

Proceedings of the 10th International Conference on Educational Data Mining, 2017

An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect.

Thanaporn Patikorn, Neil T. Heffernan, Jian Zou

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

ASSISTments Dataset from Multiple Randomized Controlled Experiments.

Douglas Selent, Thanaporn Patikorn, Neil T. Heffernan

Proceedings of the Third ACM Conference on Learning @ Scale, 2016