How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game. - Rachel Harred; Christa Cody; Mehak Maniktala; Preya Shabrina; Tiffany Barnes; Collin F. Lynch (EDM (Workshops), 2019)

Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies. - Markel Sanz Ausin; Mehak Maniktala; Tiffany Barnes; Min Chi (AIED (1), 2020)

Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning. - Christa Cody; Mehak Maniktala; David Warren; Min Chi; Tiffany Barnes (EDM, 2020)

Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. - Mehak Maniktala; Tiffany Barnes; Min Chi (EDM, 2020)

M.I.N.U.E.T.: Procedural Musical Accompaniment for Textual Narratives. - Mehak Maniktala; Chris Miller 002; Aaron Margolese-Malin; Arnav Jhala; Chris Martens 001 (FDG, 2020)

Peeking through the classroom window: a detailed data-driven analysis on the usage of a curriculum integrated math game in authentic classrooms. - Preya Shabrina; Ruth Okoilu Akintunde; Mehak Maniktala; Tiffany Barnes; Collin F. Lynch; Teomara Rutherford (LAK, 2020)

Deep Thought: An Intelligent Logic Tutor for Discrete Math. - Mehak Maniktala; Tiffany Barnes (SIGCSE, 2020)

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. - Mehak Maniktala; Christa Cody; Tiffany Barnes; Min Chi (Int. J. Artif. Intell. Educ., 2020)

Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help. - Mehak Maniktala; Christa Cody; Amy Isvik; Nicholas Lytle; Min Chi; Tiffany Barnes (CoRR, 2020)

Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. - Markel Sanz Ausin; Mehak Maniktala; Tiffany Barnes; Min Chi (AIED (1), 2021)

Preparing Unprepared Students For Future Learning. - Mark Abdelshiheed; Mehak Maniktala; Song Ju; Ayush Jain; Tiffany Barnes; Min Chi (CogSci, 2021)

Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. - Mehak Maniktala; Christa Cody; Tiffany Barnes; Min Chi (Int. J. Artif. Intell. Educ., 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. - Christa Cody; Mehak Maniktala; Nicholas Lytle; Min Chi; Tiffany Barnes (Int. J. Artif. Intell. Educ., 2022)

Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? - Nazia Alam; Mehak Maniktala; Behrooz Mostafavi; Min Chi; Tiffany Barnes (AAAI, 2023)

Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. - Mark Abdelshiheed; Guojing Zhou; Mehak Maniktala; Tiffany Barnes; Min Chi (CoRR, 2023)

Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. - Mark Abdelshiheed; Mehak Maniktala; Tiffany Barnes; Min Chi (CoRR, 2023)

Enhancing a student productivity model for adaptive problem-solving assistance. - Mehak Maniktala; Min Chi; Tiffany Barnes (User Model. User Adapt. Interact., 2023)

The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. - Markel Sanz Ausin; Mehak Maniktala; Tiffany Barnes; Min Chi (Int. J. Artif. Intell. Educ., 2023)