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2024 journal article
Example, Nudge, or Practice? Assessing Metacognitive Knowledge Transfer of Factual and Procedural Learners
User Modeling and User-Adapted Interaction, 7.
2024 article
Toward a More Diverse and Equitable Food Distribution System: Amplifying Diversity, Equity and Inclusion in Food Bank Operations
Hamilton, M., Morrow, B. F., Davis, L. B., Morgan, S., Ivy, J. S., Jiang, S., … Hilliard, K. (2024, May 17). PRODUCTION AND OPERATIONS MANAGEMENT.
2023 journal article
Healthful Connected Living: Vision and Challenges for the Case of Obesity
IEEE INTERNET COMPUTING, 27(3), 7–14.
2023 journal article
How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems
International Journal of Artificial Intelligence in Education, 9.
2023 journal article
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving
International Journal of Artificial Intelligence in Education, 8.
2023 article proceedings
Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces
Presented at the 2023 IEEE International Conference on Fuzzy Systems (FUZZ).
Event: 2023 IEEE International Conference on Fuzzy Systems (FUZZ)
2023 article proceedings
Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems
Presented at the 2023 IEEE International Conference on Fuzzy Systems (FUZZ).
Event: 2023 IEEE International Conference on Fuzzy Systems (FUZZ)
2023 article
Time-aware deep reinforcement learning with multi-temporal abstraction
Kim, Y. J., & Chi, M. (2023, March 25). APPLIED INTELLIGENCE.
2023 conference paper
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23). Presented at the 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23), Würzburg, Germany.
Event: 23rd ACM International Conference on Intelligent Virtual Agents. (IVA’23) at Würzburg, Germany on September 19-22, 2023
2022 article
Enhancing a student productivitymodel for adaptive problem-solving assistance
Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). USER MODELING AND USER-ADAPTED INTERACTION.
2022 chapter book
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer
Event: Springer International Publishing
2022 article
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction
2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022), pp. 151–162.
2022 article
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440–452.
2022 journal article
TC-DTW: Accelerating multivariate dynamic time warping through triangle inequality and point clustering
INFORMATION SCIENCES, 621, 611–626.
2022 article
The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way
Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.
2021 journal article
A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers' Decision Making and Students’ Self-Regulated Learning
Frontiers in Education, 6.
2021 article
Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts
2021 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), pp. 281–288.
2021 chapter book
Evaluating Critical Reinforcement Learning Framework in the Field
Event: Springer International Publishing
2021 article
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1337–1348.
2021 article
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction
Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2021, August 16). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.
2021 article
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1657–1663.
2021 article
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 356–368.
2021 article
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Cody, C., Maniktala, M., Lytle, N., Chi, M., & Barnes, T. (2021, May 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.
2021 article
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1640–1646.
2021 article
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, Vol. 12975, pp. 521–537.
2020 article
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 64–73.
2020 article
An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis
ADVANCED ANALYTICS AND LEARNING ON TEMPORAL DATA, AALTD 2019, Vol. 11986, pp. 213–228.
2020 journal article
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 30(4), 637–667.
2020 article
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor (September, 10.1007/s40593-020-00213-3, 2020)
Maniktala, M., Cody, C., Barnes, T., & Chi, M. (2021, March). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 31, pp. 154–155.
2020 journal article
Going deeper: Automatic short-answer grading by combining student and question models
USER MODELING AND USER-ADAPTED INTERACTION, 30(1), 51–80.
2020 article
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1246–1255.
2019 article
Hierarchical Reinforcement Learning for Pedagogical Policy Induction
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556.
2019 article
PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems
MULTIMEDIA MODELING (MMM 2020), PT II, Vol. 11962, pp. 63–75.
2018 chapter
Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction
In Lecture Notes in Computer Science (pp. 327–331).
2018 article
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 43–51.
2017 chapter
A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction
In Lecture Notes in Computer Science (pp. 536–539).
2017 conference paper
A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction
Artificial intelligence in education, aied 2017, 10331, 536–539.
2017 conference paper
LSTM for septic shock: Adding unreliable labels to reliable predictions
2017 IEEE International Conference on Big Data (Big Data), 1233–1242.
2016 journal article
A comparison of two methods of active learning in physics: inventing a general solution versus compare and contrast
INSTRUCTIONAL SCIENCE, 44(2), 177–195.
2016 conference paper
An analysis of feature selection and reward function for model-based reinforcement learning
Intelligent tutoring systems, its 2016, 0684, 504–505.
2016 conference paper
Evolving augmented graph grammars for argument analysis
Proceedings of the 2016 Genetic and Evolutionary Computation Conference (GECCO'16 Companion), 65–66.
2016 chapter
Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing
In Intelligent Tutoring Systems (pp. 208–218).
2016 conference paper
Intervention-BKT: Incorporating instructional interventions into Bayesian knowledge tracing
Intelligent tutoring systems, its 2016, 0684, 208–218.
2015 chapter
Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor
In Lecture Notes in Computer Science (pp. 726–729).
2015 conference paper
Data-driven worked examples improve retention and completion in a logic tutor
Artificial intelligence in education, aied 2015, 9112, 726–729.
2015 chapter
Detecting Opinion Spammer Groups Through Community Discovery and Sentiment Analysis
In Data and Applications Security and Privacy XXIX (pp. 170–187).
2015 conference paper
Detecting opinion spammer groups through community discovery and sentiment analysis
Data and applications security and privacy xxix, 9149, 170–187.
2014 chapter
Can Diagrams Predict Essay Grades?
In Intelligent Tutoring Systems (pp. 260–265).
2014 chapter
When Is Tutorial Dialogue More Effective Than Step-Based Tutoring?
In Intelligent Tutoring Systems (pp. 210–219).
2014 conference paper
When is tutorial dialogue more effective than step-based tutoring?
Intelligent tutoring systems, its 2014, 8474, 210–219.
2011 journal article
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies
User Modeling and User-Adapted Interaction, 21(1-2), 137–180.
2010 chapter
Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics
In Intelligent Tutoring Systems (pp. 224–234).
2010 chapter
Inducing Effective Pedagogical Strategies Using Learning Context Features
In User Modeling, Adaptation, and Personalization (pp. 147–158).
2008 chapter
Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction
In Intelligent Tutoring Systems (pp. 603–613).
2004 chapter
Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill
In Intelligent Tutoring Systems (pp. 521–530).
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