Mehak Maniktala

College of Engineering

Works (6)

Updated: July 5th, 2023 14:32

2022 article

Enhancing a student productivitymodel for adaptive problem-solving assistance

Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). USER MODELING AND USER-ADAPTED INTERACTION.

By: M. Maniktala n, M. Chi n & T. Barnes n

co-author countries: United States of America 🇺🇸
author keywords: Adaptive support; Student modeling; Assistance dilemma; Unproductivity; Data-driven tutoring; Propositional logic
Source: Web Of Science
Added: August 15, 2022

2022 article

The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way

Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

By: M. Ausin  n, M. Maniktala n, T. Barnes n & M. Chi n

co-author countries: United States of America 🇺🇸
author keywords: Deep reinforcement learning; Pedagogical policy; Explanation
Sources: Web Of Science, ORCID
Added: November 29, 2022

2021 article

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor (September, 10.1007/s40593-020-00213-3, 2020)

Maniktala, M., Cody, C., Barnes, T., & Chi, M. (2021, March). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 31, pp. 154–155.

By: M. Maniktala n, C. Cody n, T. Barnes n & M. Chi n

co-author countries: United States of America 🇺🇸
Source: Web Of Science
Added: December 21, 2020

2021 article

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

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 356–368.

By: M. Ausin  n, M. Maniktala n, T. Barnes n & M. Chi n

co-author countries: United States of America 🇺🇸
author keywords: Pedagogical agent; Credit assignment problem; Deep reinforcement learning
Sources: Web Of Science, ORCID
Added: June 16, 2021

2021 article

The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor

Cody, C., Maniktala, M., Lytle, N., Chi, M., & Barnes, T. (2021, May 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.

By: C. Cody n, M. Maniktala n, N. Lytle  n, M. Chi n & T. Barnes n

co-author countries: United States of America 🇺🇸
author keywords: Tutoring system; Hints; Assistance; Data-driven methods
Source: Web Of Science
Added: June 10, 2021

2020 journal article

Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 30(4), 637–667.

By: M. Maniktala n, C. Cody n, T. Barnes n & M. Chi n

co-author countries: United States of America 🇺🇸
author keywords: Intelligent tutoring system; Help avoidance; User experience; Unsolicited hints; Aptitude-treatment interaction; Logic proofs; Productive persistence; Clustering; problem solving
Source: Web Of Science
Added: November 9, 2020

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