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05/15/2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions
Apprenticeship learning (AL) is a process of inducing effective decision...
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04/23/2023
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning
In deductive domains, three metacognitive knowledge types in ascending o...
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04/17/2023
Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems
This work compares two approaches to provide metacognitive interventions...
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03/18/2023
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer
Metacognitive skills have been commonly associated with preparation for ...
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03/18/2023
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems
Deductive domains are typical of many cognitive skills in that no single...
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03/17/2023
Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning
One fundamental goal of learning is preparation for future learning (PFL...
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03/17/2023
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning
In this work, we investigate how two factors, metacognitive skills and m...
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02/18/2023
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
Reinforcement learning (RL) has been extensively researched for enhancin...
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01/28/2023
Variational Latent Branching Model for Off-Policy Evaluation
Model-based methods have recently shown great potential for off-policy e...
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07/27/2022
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving
Learning to derive subgoals reduces the gap between experts and students...
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07/27/2022
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response
Data-driven programming feedback systems can help novices to program in ...
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07/07/2022
Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance
Research on intelligent tutoring systems has been exploring data-driven ...
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06/07/2022
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
Knowledge tracing (KT) models are a popular approach for predicting stud...
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03/15/2022
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction
Real-world Electronic Health Records (EHRs) are often plagued by a high ...
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05/06/2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has shown outstanding performance on i...
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05/02/2021
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
The temporal Credit Assignment Problem (CAP) is a well-known and challen...
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02/10/2021
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Research has shown assistance can provide many benefits to novices lacki...
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01/15/2021
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering
Dynamic time warping (DTW) plays an important role in analytics on time ...
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10/26/2020
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Modeling patient disease progression using Electronic Health Records (EH...
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10/08/2020
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
Determining when and whether to provide personalized support is a well-k...
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09/28/2020