Elizabeth A. McLaughlin

According to our database, Elizabeth A. McLaughlin authored at least 18 papers between 2012 and 2023.

Collaborative distances:

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

2023

Using latent variable models to make gaming-the-system detection robust to context variations.

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

User Model. User Adapt. Interact., November, 2023

When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors.

Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

2022

Item Response Theory-Based Gaming Detection.

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems.

Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Computer-Supported Human Mentoring for Personalized and Equitable Math Learning.

Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger

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

2020

A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems.

Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger

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

2019

Explanatory learner models: Why machine learning (alone) is not the answer.

Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger

Br. J. Educ. Technol., 2019

2017

Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes.

Paulo F. Carvalho, Elizabeth A. McLaughlin, Ken Koedinger

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Is the doer effect a causal relationship?: how can we tell and why it's important.

Kenneth R. Koedinger, Elizabeth A. McLaughlin, Julianna Zhuxin Jia, Norman L. Bier

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Closing the Loop with Quantitative Cognitive Task Analysis.

Kenneth R. Koedinger, Elizabeth A. McLaughlin

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC.

Kenneth R. Koedinger, Jihee Kim, Julianna Zhuxin Jia, Elizabeth A. McLaughlin, Norman L. Bier

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Methods for Evaluating Simulated Learners: Examples from SimStudent.

Kenneth R. Koedinger, Noboru Matsuda, Christopher J. MacLellan, Elizabeth A. McLaughlin

Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

2014

Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium).

Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper

Ubiquity, 2014

Interpreting model discovery and testing generalization to a new dataset.

Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.

Kenneth R. Koedinger, Emma Brunskill, Ryan Shaun Joazeiro de Baker, Elizabeth A. McLaughlin, John C. Stamper

AI Mag., 2013

A Comparison of Model Selection Metrics in DataShop.

John C. Stamper, Kenneth R. Koedinger, Elizabeth A. McLaughlin

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Using Data-Driven Discovery of Better Student Models to Improve Student Learning.

Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Automated Student Model Improvement.

Kenneth R. Koedinger, Elizabeth A. McLaughlin, John C. Stamper

Proceedings of the 5th International Conference on Educational Data Mining, 2012