Publications

Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts. Anjali Singh, Zhitong Guan, Soo Young Rieh. To appear in Proceedings of the Association for Information Science and Technology. 2025.

Towards a Multimodal Document-grounded Conversational AI System for Education. Karan Taneja, Anjali Singh, Ashok K. Goel. In International Conference on Artificial Intelligence in Education. 2025.

Protecting Human Cognition in the Age of AI. Anjali Singh, Karan Taneja, Zhitong Guan, Avijit Ghosh. arXiv preprint arXiv:2502.12447. 2025 

Empowering Data Science Learners through Learnersourcing and Student-AI Collaboration. Anjali Singh. Doctoral Dissertation. 2024

Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Pandey. LAK24: Proceedings of the 14th International Learning Analytics and Knowledge Conference. 2024
🏆 Received Best Short Paper Award! 

Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares. LAK24: Proceedings of the 14th International Learning Analytics and Knowledge Conference. 2024 

Investigating Student Mistakes in Introductory Data Science Programming. Anjali Singh, Anna Fariha, Christopher Brooks, Gustavo Soares, Austin Henley, Ashish Tiwari, Chethan Mahadevaswamy, Heeryung Choi, Sumit Gulwani. Proceedings of 55th ACM Technical Symposium on Computer Science Education. 2024

Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. Anjali Singh, Christopher Brooks, Shayan Doroudi. Proceedings of the Ninth ACM Conference on Learning@ Scale. 2022. 

Design Recommendations for Using Textual Aids in Data-Science Programming Courses. Heeryung Choi, Caitlin Mills, Christopher Brooks, Stephen Doherty, Anjali Singh. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. 2022. 

What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. Anjali Singh, Christopher Brooks, Yiwen Lin, Warren Li. Proceedings of the Eighth ACM Conference on Learning@ Scale. 2021.
🏆 Received Best Paper Award! 

Investigating the Benefits of Student Question Generation in Data Science MOOC Assessments. Anjali Singh. Proceedings of the 2020 ACM Conference on International Computing Education Research. ICER, 2020

Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. Shanu Kumar, Shubham Atreja, Anjali Singh and Mohit Jain. Proceedings of The Web Conference. WWW, 2019. 

Automatic Generation of Leveled Visual Assessments for Young Learners. Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey and Mohit Jain. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. No. 01. pp. 9713-9720. 2019.

Investigating the Wisdom of Crowds at Scale. Shankar Mysore, Alok, et al. Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 2015.