Daniel Weitekamp III

According to our database, Daniel Weitekamp III authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Simulating Learning from Language and Examples.

Daniel Weitekamp III, Napol Rachatasumrit, Rachael Wei, Erik Harpstead, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Computational Models of Learning: Deepening Care and Carefulness in AI in Education.

Daniel Weitekamp III, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Building Educational Technology Quickly and Robustly with an Interactively Teachable AI.

Daniel Weitekamp III

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

A Mobile Invented Spelling Tutoring System.

Daniel Weitekamp III, Patience Stevens

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Decomposed Inductive Procedure Learning.

Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger

CoRR, 2021

Toward Stable Asymptotic Learning with Simulated Learners.

Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

An Interaction Design for Machine Teaching to Develop AI Tutors.

Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Investigating Differential Error Types Between Human and Simulated Learners.

Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC.

Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

Comput. Softw. Big Sci., December, 2019

Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning.

Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger

Proceedings of the 12th International Conference on Educational Data Mining, 2019