Seuraa
Min Chi
Min Chi
Department of Computer Science, North Carolina State University
Vahvistettu sähköpostiosoite verkkotunnuksessa ncsu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies
M Chi, K VanLehn, D Litman, P Jordan
User Modeling and User-Adapted Interaction 21, 137-180, 2011
1742011
Instructional factors analysis: A cognitive model for multiple instructional interventions
M Chi, KR Koedinger, GJ Gordon, P Jordon, K VanLahn
Carnegie Mellon University, 2011
1132011
Do micro-level tutorial decisions matter: Applying reinforcement learning to induce pedagogical tutorial tactics
M Chi, K VanLehn, D Litman
Intelligent Tutoring Systems: 10th International Conference, ITS 2010 …, 2010
982010
Early diagnosis and prediction of sepsis shock by combining static and dynamic information using convolutional-LSTM
C Lin, Y Zhang, J Ivy, M Capan, R Arnold, JM Huddleston, M Chi
2018 IEEE international conference on healthcare informatics (ICHI), 219-228, 2018
952018
ATTAIN: Attention-based time-aware LSTM networks for disease progression modeling.
Y Zhang
In Proceedings of the 28th International Joint Conference on Artificial …, 2019
922019
Meta-cognitive strategy instruction in intelligent tutoring systems: how, when, and why
M Chi, K VanLehn
Journal of Educational Technology & Society 13 (1), 25-39, 2010
902010
An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach
M Chi, K VanLehn, D Litman, P Jordan
International Journal of Artificial Intelligence in Education 21 (1-2), 83-113, 2011
872011
Temporal Belief Memory: Imputing Missing Data during RNN Training.
YJ Kim, M Chi
In Proceedings of the 27th International Joint Conference on Artificial …, 2018
722018
Detecting opinion spammer groups through community discovery and sentiment analysis
E Choo, T Yu, M Chi
Data and Applications Security and Privacy XXIX: 29th Annual IFIP WG 11.3 …, 2015
702015
Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions.
Y Mao
Journal of educational data mining 10 (2), 2018
662018
Reinforcement learning: the sooner the better, or the later the better?
S Shen, M Chi
Proceedings of the 2016 conference on user modeling adaptation and …, 2016
582016
Exploring the impact of worked examples in a novice programming environment
R Zhi, TW Price, S Marwan, A Milliken, T Barnes, M Chi
Proceedings of the 50th acm technical symposium on computer science …, 2019
532019
One minute is enough: Early prediction of student success and event-level difficulty during novice programming tasks
Y Mao
In: Proceedings of the 12th International Conference on Educational Data …, 2019
502019
Recent temporal pattern mining for septic shock early prediction
F Khoshnevisan, J Ivy, M Capan, R Arnold, J Huddleston, M Chi
2018 IEEE international conference on healthcare informatics (ICHI), 229-240, 2018
502018
A comparison of two methods of active learning in physics: Inventing a general solution versus compare and contrast
DB Chin, M Chi, DL Schwartz
Instructional Science 44, 177-195, 2016
482016
Intervention-bkt: incorporating instructional interventions into bayesian knowledge tracing
C Lin, M Chi
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016
462016
Evaluating the effectiveness of parsons problems for block-based programming
R Zhi, M Chi, T Barnes, TW Price
Proceedings of the 2019 ACM Conference on International Computing Education …, 2019
452019
Hierarchical reinforcement learning for pedagogical policy induction
G Zhou, H Azizsoltani, MS Ausin, T Barnes, M Chi
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
422019
Lstm for septic shock: Adding unreliable labels to reliable predictions
Y Zhang, C Lin, M Chi, J Ivy, M Capan, JM Huddleston
2017 IEEE International Conference on Big Data (Big Data), 1233-1242, 2017
372017
Towards Closing the Loop: Bridging Machine-Induced Pedagogical Policies to Learning Theories.
G Zhou, J Wang, CF Lynch, M Chi
International Educational Data Mining Society, 2017
332017
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Artikkelit 1–20