Daniel Weitekamp III

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Interaction Design

Computational Model

Knowledge Acquisition Bottleneck

Top Venues

AIED (Posters/Late Breaking Results/...)

Publications

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)
Daniel Weitekamp III
Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency. AAAI Spring Symposia (2024)
Daniel Weitekamp III, Napol Rachatasumrit, Rachael Wei, Erik Harpstead, Kenneth R. Koedinger
Simulating Learning from Language and Examples. AIED (Posters/Late Breaking Results/...) (2023)
Daniel Weitekamp III
Building Educational Technology Quickly and Robustly with an Interactively Teachable AI. AIED (Posters/Late Breaking Results/...) (2023)
Daniel Weitekamp III, Kenneth R. Koedinger
Computational Models of Learning: Deepening Care and Carefulness in AI in Education. AIED (Posters/Late Breaking Results/...) (2023)
Daniel Weitekamp III, Patience Stevens
A Mobile Invented Spelling Tutoring System. AIED (2) (2022)
Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger
Decomposed Inductive Procedure Learning. CoRR (2021)
Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger
Toward Stable Asymptotic Learning with Simulated Learners. AIED (2) (2021)
Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger
An Interaction Design for Machine Teaching to Develop AI Tutors. CHI (2020)
Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) (2020)
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)
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)
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 (2018)