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ORCIDKenneth R. Koedinger
- > Home > Persons > Kenneth R. Koedinger
Publications
- 2023
[j45]Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Using latent variable models to make gaming-the-system detection robust to context variations. User Model. User Adapt. Interact. 33(5): 1211-1257 (2023)- [c243]Danielle Thomas
, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. LAK 2023: 250-261 - 2022
- [c239]Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
Item Response Theory-Based Gaming Detection. EDM 2022 - 2021
- [c237]Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger:
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. AIED (2) 2021: 308-313 - [c231]Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger:
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. LAK 2021: 161-172 - 2020
- [c230]Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. AIED (2) 2020: 124-129 - 2019
- [j39]Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger:
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50(6): 2943-2958 (2019) - 2017
- [c202]Paulo F. Carvalho, Elizabeth A. McLaughlin, Ken Koedinger:
Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes. CogSci 2017 - 2016
- [c188]Kenneth R. Koedinger, Elizabeth A. McLaughlin:
Closing the Loop with Quantitative Cognitive Task Analysis. EDM 2016: 412-417 - [c183]Kenneth R. Koedinger, Elizabeth A. McLaughlin, Julianna Zhuxin Jia, Norman L. Bier:
Is the doer effect a causal relationship?: how can we tell and why it's important. LAK 2016: 388-397 - 2015
- [c180]Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin:
Methods for Evaluating Simulated Learners: Examples from SimStudent. AIED Workshops 2015 - [c170]Kenneth R. Koedinger, Jihee Kim, Julianna Zhuxin Jia, Elizabeth A. McLaughlin, Norman L. Bier:
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. L@S 2015: 111-120 - 2014
- [j25]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014(May): 3:1-3:13 (2014) - [c167]Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Interpreting model discovery and testing generalization to a new dataset. EDM 2014: 107-113 - 2013
- [j22]Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper:
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. AI Mag. 34(3): 27-41 (2013) - [c158]Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon:
Using Data-Driven Discovery of Better Student Models to Improve Student Learning. AIED 2013: 421-430 - [c145]John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin:
A Comparison of Model Selection Metrics in DataShop. EDM 2013: 284-287 - 2012
- [c137]Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper:
Automated Student Model Improvement. EDM 2012: 17-24
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