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Luke Eglington

Luke G. Eglington

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2020 – today

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2024
[c5]
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  - electronic edition @ educationaldatamining.org
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  - conf/edm/PavlikECC24
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Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu:
Logistic Knowledge Tracing Tutorial: Practical Educational Applications. EDM 2024
2023
[j2]
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Luke G. Eglington, Philip I. Pavlik:
How to Optimize Student Learning Using Student Models That Adapt Rapidly to Individual Differences. Int. J. Artif. Intell. Educ. 33(3): 497-518 (2023)
[c4]
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Philip I. Pavlik Jr., Luke G. Eglington:
Automated Search for Logistic Knowledge Tracing Models. EDM 2023
2021
[j1]
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Philip I. Pavlik, Luke G. Eglington, Leigh M. Harrell-Williams:
Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling. IEEE Trans. Learn. Technol. 14(5): 624-639 (2021)
[c3]
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  - electronic edition @ ceur-ws.org (open access)
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Philip I. Pavlik Jr., Luke G. Eglington:
The Mobile Fact and Concept Textbook System (MoFaCTS) Computational Model and Scheduling System. iTextbooks@AIED 2021: 93-107
[c2]
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Philip I. Pavlik Jr., Luke Eglington, Liang Zhang:
Automatic Domain Model Creation and Improvement. EDM 2021
[i1]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2105-08150
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Philip I. Pavlik Jr., Luke G. Eglington:
Modeling the EdNet Dataset with Logistic Regression. CoRR abs/2105.08150 (2021)
2020
[c1]
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Philip I. Pavlik Jr., Andrew McGregor Olney, Amanda Banker, Luke Eglington, Jeffrey Yarbro:
The Mobile Fact and Concept Textbook System (MoFaCTS). iTextbooks@AIED 2020: 35-49

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