Shivang Gupta

According to our database, Shivang Gupta authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation.

Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger

CoRR, 2024

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors.

Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger

CoRR, 2024

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.

Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection.

Nancy Girdhar, Aparna Sinha, Shivang Gupta

Soft Comput., 2023

Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0.

Shivang Gupta, Kowshik Siva Sai Motepalli, Ravi Kumar, Vamsi Narasinga, Mirishkar Sai Ganesh, Anil Kumar Vuppala

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.

Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger

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.

Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger

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

Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

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

Towards the Future of AI-Augmented Human Tutoring in Math Learning.

Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing

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.

Kshitij Kakade, Aswini Kumar Mishra, Kshitish Ghate, Shivang Gupta

Intell. Syst. Account. Finance Manag., 2022

Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale.

Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

2021

Computer-Supported Human Mentoring for Personalized and Equitable Math Learning.

Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger

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

2020

Modified fuzzy-based greedy routing protocol for VANETs.

Thompson Stephan, Ananthnarayan Rajappa, K. S. Sendhil Kumar, Shivang Gupta, Achyut Shankar, V. Vijayakumar

J. Intell. Fuzzy Syst., 2020