Elizabeth A McLaughlin
Elizabeth A McLaughlin
cs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2362015
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
1642013
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
1182010
Automated Student Model Improvement.
KR Koedinger, EA McLaughlin, JC Stamper
International Educational Data Mining Society, 2012
1102012
Instruction based on adaptive learning technologies
V Aleven, EA McLaughlin, RA Glenn, KR Koedinger
Handbook of research on learning and instruction, 522-560, 2016
1072016
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
1052015
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
1012013
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
452010
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
282019
Interpreting model discovery and testing generalization to a new dataset
R Liu, EA McLaughlin, KR Koedinger
Educational Data Mining 2014, 2014
262014
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
232016
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
32020
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
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
12021
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