| Exploring the impact of simple explanations and agency on batch deep reinforcement learning induced pedagogical policies M Sanz Ausin, M Maniktala, T Barnes, M Chi Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 27 | 2020 |
| Metacognition and motivation: The role of time-awareness in preparation for future learning M Abdelshiheed, G Zhou, M Maniktala, T Barnes, M Chi arXiv preprint arXiv:2303.13541, 2023 | 23 | 2023 |
| Avoiding help avoidance: Using interface design changes to promote unsolicited hint usage in an intelligent tutor M Maniktala, C Cody, T Barnes, M Chi International Journal of Artificial Intelligence in Education 30, 637-667, 2020 | 20 | 2020 |
| Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help M Maniktala, C Cody, A Isvik, N Lytle, M Chi, T Barnes arXiv preprint arXiv:2010.04124, 2020 | 16 | 2020 |
| Preparing unprepared students for future learning M Abdelshiheed, M Maniktala, S Ju, A Jain, T Barnes, M Chi arXiv preprint arXiv:2303.11960, 2023 | 14 | 2023 |
| Extending the hint factory: Towards modelling productivity for open-ended problem-solving M Maniktala, T Barnes In proceedings of the 13th International Conference on Educational Data …, 2020 | 10 | 2020 |
| Tackling the credit assignment problem in reinforcement learning-induced pedagogical policies with neural networks MS Ausin, M Maniktala, T Barnes, M Chi International Conference on Artificial Intelligence in Education, 356-368, 2021 | 9 | 2021 |
| Assessing competency using metacognition and motivation: The role of time-awareness in preparation for future learning M Abdelshiheed, M Maniktala, T Barnes, M Chi arXiv preprint arXiv:2303.14609, 2023 | 8 | 2023 |
| Finding the most informational friends in a social network based recommender system M Maniktala, S Sachdev, N Bansal, S Susan 2015 Annual IEEE India Conference (INDICON), 1-6, 2015 | 8 | 2015 |
| The impact of looking further ahead: a comparison of two data-driven unsolicited hint types on performance in an intelligent data-driven logic tutor C Cody, M Maniktala, N Lytle, M Chi, T Barnes International Journal of Artificial Intelligence in Education 32 (2), 263-296, 2022 | 6 | 2022 |
| Deep Thought: An Intelligent Logic Tutor for Discrete Math M Maniktala, T Barnes Proceedings of the 51st ACM Technical Symposium on Computer Science …, 2020 | 4 | 2020 |
| Peeking through the classroom window: a detailed data-driven analysis on the usage of a curriculum integrated math game in authentic classrooms P Shabrina, RO Akintunde, M Maniktala, T Barnes, C Lynch, T Rutherford Proceedings of the tenth international conference on learning analytics …, 2020 | 3 | 2020 |
| MINUET: Procedural Musical Accompaniment for Textual Narratives M Maniktala, C Miller, A Margolese-Malin, A Jhala, C Martens Proceedings of the 15th International Conference on the Foundations of …, 2020 | 2 | 2020 |
| Enhancing a student productivity model for adaptive problem-solving assistance M Maniktala, M Chi, T Barnes User Modeling and User-Adapted Interaction 33 (1), 159-188, 2023 | 1 | 2023 |
| The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way MS Ausin International journal of artificial intelligence in education, 2022 | 1 | 2022 |
| How Long is Enough? Predicting Student Outcomes with Same-Day Gameplay Data in an Educational Math Game. R Harred, C Cody, M Maniktala, P Shabrina, T Barnes, CF Lynch EDM (Workshops), 60-68, 2019 | 1 | 2019 |
| Does knowing when help is needed improve subgoal hint performance in an intelligent data-driven logic tutor? N Alam, M Maniktala, B Mostafavi, M Chi, T Barnes Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15895 …, 2023 | | 2023 |
| SOLVE THE ASSISTANCE DILEMMA FOR ADAPTIVE PROBLEM SOLVING HELP M Maniktala, T Barnes, M Chi, AJ Hampton, X Hu Design Recommendations for Intelligent Tutoring Systems: Volume 9-Competency …, 2022 | | 2022 |
| ASSESSING CHAPTER 15–COMPETENCY USING METACOGNITION AND MOTIVATION: THE ROLE OF TIME-AWARENESS PREPARATION FOR FUTURE LEARNING M Abdelshiheed, M Maniktala, T Barnes, M Chi Design Recommendations for Intelligent Tutoring Systems: Volume 9-Competency …, 2022 | | 2022 |
| Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. M Maniktala, C Cody, T Barnes, M Chi International journal of artificial intelligence in education 31 (1), 2021 | | 2021 |
Tiffany BarnesDistinguished Professor of Computer Science, North Carolina State UniversityVahvistettu sähköpostiosoite verkkotunnuksessa ncsu.edu
