Elizabeth A McLaughlin
Elizabeth A McLaughlin
E-mail confirmado em cs.cmu.edu
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Learning is not a spectator sport: Doing is better than watching for learning from a MOOC
KR Koedinger, J Kim, JZ Jia, EA McLaughlin, NL Bier
Proceedings of the second (2015) ACM conference on learning@ scale, 111-120, 2015
2522015
New potentials for data-driven intelligent tutoring system development and optimization
KR Koedinger, E Brunskill, RSJ Baker, EA McLaughlin, J Stamper
AI Magazine 34 (3), 27-41, 2013
1692013
Instruction based on adaptive learning technologies
V Aleven, EA McLaughlin, RA Glenn, KR Koedinger
Handbook of research on learning and instruction 2, 522-560, 2016
1292016
A quasi-experimental evaluation of an on-line formative assessment and tutoring system
KR Koedinger, EA McLaughlin, NT Heffernan
Journal of Educational Computing Research 43 (4), 489-510, 2010
1272010
Automated Student Model Improvement.
KR Koedinger, EA McLaughlin, JC Stamper
International Educational Data Mining Society, 2012
1172012
Data mining and education
KR Koedinger, S D'Mello, EA McLaughlin, ZA Pardos, CP Rose
Wiley Interdisciplinary Reviews: Cognitive Science 6 (4), 333-353, 2015
1142015
Using data-driven discovery of better student models to improve student learning
KR Koedinger, JC Stamper, EA McLaughlin, T Nixon
International conference on artificial intelligence in education, 421-430, 2013
1062013
Seeing language learning inside the math: Cognitive analysis yields transfer
K Koedinger, E McLaughlin
Proceedings of the annual meeting of the cognitive science society 32 (32), 2010
462010
Explanatory learner models: Why machine learning (alone) is not the answer
CP Rosé, EA McLaughlin, R Liu, KR Koedinger
British Journal of Educational Technology 50 (6), 2943-2958, 2019
422019
Is the doer effect a causal relationship? How can we tell and why it's important
KR Koedinger, EA McLaughlin, JZ Jia, NL Bier
Proceedings of the sixth international conference on learning analytics …, 2016
262016
Interpreting model discovery and testing generalization to a new dataset
R Liu, EA McLaughlin, KR Koedinger
Educational Data Mining 2014, 2014
252014
A comparison of model selection metrics in datashop
J Stamper, K Koedinger, E Mclaughlin
Educational Data Mining 2013, 2013
142013
Closing the Loop with Quantitative Cognitive Task Analysis.
KR Koedinger, EA McLaughlin
International Educational Data Mining Society, 2016
92016
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium)
KR Koedinger, EA McLaughlin, JC Stamper
Ubiquity 2014 (May), 1-13, 2014
82014
Methods for Evaluating Simulated Learners: Examples from SimStudent.
KR Koedinger, N Matsuda, CJ MacLellan, EA McLaughlin
AIED Workshops, 2015
72015
MOOCs and technology to advance learning and learning research: Data-driven learner modeling to understand and improve online learning
KR Koedinger, EA McLaughlin, JC Stamper
Ubiquity 3, 1-13, 2014
72014
Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes.
PF Carvalho, EA McLaughlin, K Koedinger
CogSci, 2017
62017
A general multi-method approach to design-loop adaptivity in intelligent tutoring systems
Y Huang, V Aleven, E McLaughlin, K Koedinger
International Conference on Artificial Intelligence in Education, 124-129, 2020
42020
A general multi-method approach to data-driven redesign of tutoring systems
Y Huang, NG Lobczowski, JE Richey, EA McLaughlin, MW Asher, ...
LAK21: 11th International Learning Analytics and Knowledge Conference, 161-172, 2021
22021
The knowledge-learning-instruction (KLI) dependency: how the domain-specific and domain-general interact in STEM learning
KR Koedinger, EA McLaughlin
Washington University Libraries, 2014
22014
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