16 citations · 17 across the 5 of their papers we have counts for
5 papers
Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education
Anjali Singh, Christopher Brooks, Warren Li +2
Generating hints for incorrect code is a cognitively demanding task that fosters learning and metacognitive development. This study investigates three designs for personalized, sca…
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
Karan Taneja, Anjali Singh, Ashok K. Goel
Multimodal Large Language Models (MLLMs) offer an opportunity to support multimedia learning through conversational systems grounded in educational content. However, while conversa…
MetaCues: Enabling Critical Engagement with Generative AI for Information Seeking and Sensemaking
Anjali Singh, Karan Taneja, Zhitong Guan +1
Generative AI (GenAI) search tools are increasingly used for information seeking, yet their design tends to encourage cognitive offloading, which may lead to passive engagement, se…
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation
Anjali Singh, Christopher Brooks, Xu Wang +3
This paper explores the space of optimizing feedback mechanisms in complex domains, such as data science, by combining two prevailing approaches: Artificial Intelligence (AI) and l…
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 +5
Generative AI and large language models hold great promise in enhancing programming education by automatically generating individualized feedback for students. We investigate the r…