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Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning

Project Overview

The document explores the integration of Cognitive AI and Generative AI in education, specifically focusing on enhancing question-answering in skill-based online learning environments. It highlights the importance of improving skill understanding and explanation within educational contexts. To address this, a framework is proposed that utilizes the TMK (Task-Method-Knowledge) model to better represent skills. The AI system, named Ivy, is designed to generate reasoned explanations in response to learners' questions by leveraging advanced techniques such as Large Language Models, Chain-of-Thought reasoning, and Iterative Refinement. The findings indicate that such applications of generative AI can significantly enhance the learning experience by providing personalized and context-aware feedback, thereby fostering deeper comprehension and skill acquisition among learners. Overall, the document underscores the potential of generative AI to transform educational practices and improve outcomes in online learning settings.

Key Applications

Ivy - Interactive Video system

Context: Online learning environments, particularly for adult learners seeking to reskill or upskill

Implementation: The TMK model is used to represent skills and guide the question-answering process, leveraging Generative AI methods for response generation.

Outcomes: Provides contextually rich and reasoned explanations that enhance learner engagement and understanding of skills.

Challenges: Generative AI methods may lack true understanding of nuanced skills and can produce inconsistent or inaccurate responses.

Implementation Barriers

Technical Barrier

Generative AI methods may not exhibit true understanding and can produce inconsistent outputs.

Proposed Solutions: Integrating Cognitive AI methods to enhance understanding and improve response accuracy.

Scalability Barrier

Manual creation of TMK models for new educational content is time-consuming and requires domain expertise.

Proposed Solutions: Automation of the TMK model creation process to streamline setup for diverse learning domains.

Project Team

Rochan H. Madhusudhana

Researcher

Rahul K. Dass

Researcher

Jeanette Luu

Researcher

Ashok K. Goel

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Rochan H. Madhusudhana, Rahul K. Dass, Jeanette Luu, Ashok K. Goel

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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