Min Chi
Orcid: 0000-0003-1765-7837
According to our database1,
Min Chi
authored at least 133 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way.
Int. J. Artif. Intell. Educ., December, 2023
Appl. Intell., September, 2023
TC-DTW: Accelerating multivariate dynamic time warping through triangle inequality and point clustering.
Inf. Sci., April, 2023
User Model. User Adapt. Interact., March, 2023
IEEE Internet Comput., 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions.
CoRR, 2023
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning.
CoRR, 2023
Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning.
CoRR, 2023
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning.
CoRR, 2023
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor.
Proceedings of the 16th International Conference on Educational Data Mining, 2023
Proceedings of the 16th International Conference on Educational Data Mining, 2023
A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response.
CoRR, 2022
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving.
CoRR, 2022
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
Int. J. Artif. Intell. Educ., 2022
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor.
Int. J. Artif. Intell. Educ., 2022
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning.
CoRR, 2021
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering.
CoRR, 2021
Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor.
Int. J. Artif. Intell. Educ., 2021
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE Global Humanitarian Technology Conference, 2021
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Going deeper: Automatic short-answer grading by combining student and question models.
User Model. User Adapt. Interact., 2020
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help.
CoRR, 2020
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor.
Int. J. Artif. Intell. Educ., 2020
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 13th International Conference on Educational Data Mining, 2020
The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond.
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020
Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices.
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019
Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019
2018
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
Detecting opinion spammer groups and spam targets through community discovery and sentiment analysis.
J. Comput. Secur., 2017
Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories.
Proceedings of the 10th International Conference on Educational Data Mining, 2017
Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection.
Proceedings of the 10th International Conference on Educational Data Mining, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017
2016
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
2015
Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015
Proceedings of the Data and Applications Security and Privacy XXIX, 2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015
2014
Proceedings of the ACM Conference on Economics and Computation, 2014
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014
Tug of War: What is it Good For? Measuring Student Inquiry Choices in an Online Science Game.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014
Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores?
Proceedings of the 7th International Conference on Educational Data Mining, 2014
2011
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies.
User Model. User Adapt. Interact., 2011
An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach.
Int. J. Artif. Intell. Educ., 2011
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.
Proceedings of the 4th International Conference on Educational Data Mining, 2011
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions.
Proceedings of the 4th International Conference on Educational Data Mining, 2011
2010
Meta-Cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When, and Why.
J. Educ. Technol. Soc., 2010
Proceedings of the User Modeling, 2010
Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010
2009
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009
2008
Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008
Reinforcement Learning-based Feature Seleciton For Developing Pedagogically Effective Tutorial Dialogue Tactics.
Proceedings of the Educational Data Mining 2008, 2008
2007
Porting an Intelligent Tutoring System across Domains.
Proceedings of the Artificial Intelligence in Education, 2007
Domain-Specific and Domain-Independent Interactive Behaviors in Andes.
Proceedings of the Artificial Intelligence in Education, 2007
Proceedings of the Artificial Intelligence in Education, 2007
2004
Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004