5 papers
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…
Protecting Human Cognition in the Age of AI
Anjali Singh, Karan Taneja, Zhitong Guan +1
The rapid adoption of Generative AI (GenAI) is significantly reshaping human cognition, influencing how we engage with information, think, reason, and learn. This paper synthesizes…
Towards a Multimodal Document-grounded Conversational AI System for Education
Karan Taneja, Anjali Singh, Ashok K. Goel
Multimedia learning using text and images has been shown to improve learning outcomes compared to text-only instruction. But conversational AI systems in education predominantly re…
MuDoC: An Interactive Multimodal Document-grounded Conversational AI System
Karan Taneja, Ashok K. Goel
Multimodal AI is an important step towards building effective tools to leverage multiple modalities in human-AI communication. Building a multimodal document-grounded AI system to…