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ORCIDShivang Gupta
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Journal Articles
- 2023
[j3]Nancy Girdhar
, Aparna Sinha, Shivang Gupta:
DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection. Soft Comput. 27(18): 13285-13304 (2023)- 2022
- [j2]Kshitij Kakade, Aswini Kumar Mishra, Kshitish Ghate, Shivang Gupta:
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach. Intell. Syst. Account. Finance Manag. 29(2): 103-117 (2022) - 2020
- [j1]Thompson Stephan, Ananthnarayan Rajappa, K. S. Sendhil Kumar, Shivang Gupta, Achyut Shankar, V. Vijayakumar:
Modified fuzzy-based greedy routing protocol for VANETs. J. Intell. Fuzzy Syst. 39(6): 8357-8364 (2020)
Conference and Workshop Papers
- 2024
- [c10]Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. AIED (1) 2024: 409-423 - [c9]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:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK 2024: 404-415 - [c8]Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S 2024: 481-485 - 2023
- [c7]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED 2023: 12-23 - [c6]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:
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) 2023: 26-31 - [c5]Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger:
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. AIED (Posters/Late Breaking Results/...) 2023: 714-719 - [c4]Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. LAK 2023: 250-261 - [c3]Shivang Gupta, Kowshik Siva Sai Motepalli, Ravi Kumar, Vamshi Raghu Simha Narasinga, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0. SPECOM (2) 2023: 503-512 - 2022
- [c2]Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger:
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. L@S 2022: 469-471 - 2021
- [c1]Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger:
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. AIED (2) 2021: 308-313
Informal and Other Publications
- 2024
- [i5]Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger:
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR abs/2401.03238 (2024) - [i4]Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger:
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR abs/2402.14594 (2024) - [i3]Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger:
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR abs/2405.00970 (2024) - 2023
- [i2]Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger:
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR abs/2306.15498 (2023) - [i1]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:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR abs/2312.11274 (2023)
Coauthor Index
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