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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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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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12/06/2021
Designing a Dashboard for Student Teamwork Analysis
Classroom dashboards are designed to help instructors effectively orches...
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04/23/2021
Novices' Learning Barriers When Using Code Examples in Open-Ended Programming
Open-ended programming increases students' motivation by allowing them t...
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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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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
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor
Within intelligent tutoring systems, considerable research has investiga...
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08/25/2020
Student Teamwork on Programming Projects: What can GitHub logs show us?
Teamwork, often mediated by version control systems such as Git and Apac...
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05/02/2019
What will you do next? A sequence analysis on the student transitions between online platforms in blended courses
Students' interactions with online tools can provide us with insights in...
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04/15/2019
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
Online tools provide unique access to research students' study habits an...
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04/15/2019
How Widely Can Prediction Models be Generalized? Performance Prediction in Blended Courses
Blended courses that mix in-person instruction with online platforms are...
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04/15/2019
How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses
Blended courses that mix in-person instruction with online platforms are...
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12/03/2018
Early Prediction of Course Grades: Models and Feature Selection
In this paper, we compare predictive models for students' final performa...
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08/22/2017