Modified fuzzy-based greedy routing protocol for VANETs. - Thompson Stephan; Ananthnarayan Rajappa; K. S. Sendhil Kumar; Shivang Gupta; Achyut Shankar; V. Vijayakumar 002 (J. Intell. Fuzzy Syst., 2020)

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 (AIED (2), 2021)

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 (L@S, 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)

Towards the Future of AI-Augmented Human Tutoring in Math Learning. - Vincent Aleven; Richard G. Baraniuk; Emma Brunskill; Scott A. Crossley; Dora Demszky; Stephen Fancsali; Shivang Gupta; Kenneth R. Koedinger; Chris Piech; Steven Ritter 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 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 (Human-AI Math Tutoring@AIED, 2023)

Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. - Danielle R. Thomas; Shivang Gupta; Kenneth R. Koedinger (AIED (Posters/Late Breaking Results/...), 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 (LAK, 2023)

Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0. - Shivang Gupta; Kowshik Siva Sai Motepalli; Ravi Kumar; Vamshi Raghu Simha Narasinga; Mirishkar Sai Ganesh; Anil Kumar Vuppala (SPECOM (2), 2023)

DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection. - Nancy Girdhar; Aparna Sinha; Shivang Gupta (Soft Comput., 2023)

The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. - Danielle R. Thomas; Erin Gatz; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (AIED (1), 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 (LAK, 2024)

Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. - Danielle R. Thomas; Jionghao Lin; Shambhavi Bhushan; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (L@S, 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 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)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei FeiFei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2024)

Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes. - Ashish Gurung; Jionghao Lin; Jordan Gutterman; Danielle R. Thomas; Alex Houk; Shivang Gupta; Emma Brunskill; Lee G. Branstetter; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

Improving Open-Response Assessment with LearnLM. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Sanjit Kakarla; Alex Houk; Ralph Abboud; Shivang Gupta; Erin Gatz; Kenneth R. Koedinger (AIED (5), 2025)

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. - Eason Chen; Xinyi Tang; Aprille J. Xi; Chenyu Lin; Conrad Borchers; Shivang Gupta; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2025)

LLM-Generated Feedback Supports Learning If Learners Choose to Use It. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2025)

Detecting LLM-Generated Short Answers and Effects on Learner Performance. - Shambhavi Bhushan; Danielle R. Thomas; Conrad Borchers; Isha Raghuvanshi; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)