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ORCIDDaniel Weitekamp III
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2020 – today
- 2024
[c10]Daniel Weitekamp III:
Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency. AAAI Spring Symposia 2024: 594- [c9]Napol Rachatasumrit
, Daniel Weitekamp III, Kenneth R. Koedinger:
Good Fit Bad Policy: Why Fit Statistics Are a Biased Measure of Knowledge Tracer Quality. AIED Companion (2) 2024: 183-191 - [i3]Daniel Weitekamp III, Kenneth R. Koedinger:
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning. CoRR abs/2409.07653 (2024) - 2023
- [c8]Daniel Weitekamp III, Kenneth R. Koedinger:
Computational Models of Learning: Deepening Care and Carefulness in AI in Education. AIED (Posters/Late Breaking Results/...) 2023: 13-25 - [c7]Daniel Weitekamp III:
Building Educational Technology Quickly and Robustly with an Interactively Teachable AI. AIED (Posters/Late Breaking Results/...) 2023: 162-168 - [c6]Daniel Weitekamp III, Napol Rachatasumrit, Rachael Wei, Erik Harpstead, Kenneth R. Koedinger:
Simulating Learning from Language and Examples. AIED (Posters/Late Breaking Results/...) 2023: 580-586 - 2022
- [c5]Daniel Weitekamp III, Patience Stevens:
A Mobile Invented Spelling Tutoring System. AIED (2) 2022: 492-496 - 2021
- [c4]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
Toward Stable Asymptotic Learning with Simulated Learners. AIED (2) 2021: 390-394 - [i2]Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger:
Decomposed Inductive Procedure Learning. CoRR abs/2110.13233 (2021) - 2020
- [c3]Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger:
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) 2020: 586-597 - [c2]Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger:
An Interaction Design for Machine Teaching to Develop AI Tutors. CHI 2020: 1-11
2010 – 2019
- 2019
- [j1]Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant:
Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. Comput. Softw. Big Sci. 3(1) (2019) - [c1]Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. EDM 2019 - 2018
- [i1]Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant:
Topology classification with deep learning to improve real-time event selection at the LHC. CoRR abs/1807.00083 (2018)
Coauthor Index
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