Mehak Maniktala

According to our database, Mehak Maniktala authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

Enhancing a student productivity model for adaptive problem-solving assistance.

Mehak Maniktala, Min Chi, Tiffany Barnes

User Model. User Adapt. Interact., March, 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

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

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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.

Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes

Int. J. Artif. Intell. Educ., 2022

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

Preparing Unprepared Students For Future Learning.

Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks.

Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

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

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

Deep Thought: An Intelligent Logic Tutor for Discrete Math.

Mehak Maniktala, Tiffany Barnes

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 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

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

M.I.N.U.E.T.: Procedural Musical Accompaniment for Textual Narratives.

Mehak Maniktala, Chris Miller, Aaron Margolese-Malin, Arnav Jhala, Chris Martens

Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020

Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving.

Mehak Maniktala, Tiffany Barnes, Min Chi

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.

Christa Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

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

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