Integrating Cognitive Ai With Generative Models For Enhanced Question Answering In Skill

Integrating Cognitive Ai With Generative Models For Enhanced Question This paper proposes a novel approach that merges cognitive ai and generative ai to address these challenges. we employ a structured knowledge representation, the tmk (task method knowledge) model, to encode skills taught in an online knowledge based ai course. This limits their ability to provide explanations of skills or help with problem solving. this paper proposes a novel approach that merges cognitive ai and generative ai to address these.

Generative Ai And Tools Pdf Artificial Intelligence Intelligence We proposed a hybrid approach to answering skill based learning questions by integrating structured kbai represen tations using tmk models with generative ai. this enabled an ia to generate logical, structured, and contextually rele vant explanations that enhance skill based learning. Analyses revealed a significant improvement in question quality from initial submissions to later stages. specifically, participants progressed from level 1 questions (simple recall) to level 5 questions (creative and evaluative), based on bloom’s taxonomy. 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. Intended outcomes: in this manuscript, we introduce a practical implementation of ai in education by creating a system called q module bot that is accessible for both technical and nontechnical educators to harness e learning benefits and demystify generative pretraining transformer (gpt).

Exploring Generative Ai 1 Pdf Artificial Intelligence 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. Intended outcomes: in this manuscript, we introduce a practical implementation of ai in education by creating a system called q module bot that is accessible for both technical and nontechnical educators to harness e learning benefits and demystify generative pretraining transformer (gpt). We created a novel sample dataset by merging lc quad 2.0 and qald 10 datasets to ensure a diverse representation of question types, knowledge domains, and complexity levels. The simulator used generative ai models to create realistic interview scenarios based on demographic data from rochester, ny. components of the simulator included a student interview question selection and creation portion, an interview guide worksheet, a post simulation quiz on the materials, and a reflective exercise focusing on information. Abstract the rise of generative ai (genai) in knowledge workflows raises questions about its impact on critical thinking skills and practices. we survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using genai, and 2) when and why genai afects their efort to do so. In this paper, we have presented an innovative integration of cognitive ai with generative ai to enhance question an swering in skill based learning environments.