Shivang Gupta
Orcid: 0000-0002-5713-3782
According to our database1,
Shivang Gupta
authored at least 16 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
CoRR, 2024
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors.
CoRR, 2024
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
2023
DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection.
Soft Comput., 2023
Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0.
Proceedings of the Speech and Computer - 25th International Conference, 2023
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
2022
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach.
Intell. Syst. Account. Finance Manag., 2022
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022
2021
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
J. Intell. Fuzzy Syst., 2020