Educational Generative AI With Reverse Prompting for Guided Learning
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Solution Overview
Problem
Users are overwhelmed by the vast amount of information provided by generative AI models, leading to repetitive and non-specific searches for desired information, and there is a need for improved operating configurations to enhance search/query efficacy.
Innovation Solution
A generative AI model configured in a reverse operation that receives general user inputs and generates user-specific content, such as educational material, by utilizing user context and prior knowledge to teach the user about a topic, reducing the need for multiple queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If generative AI models provide a robust set of information through continuous interactions, then the training dataset becomes more robust and enables a greater set of information, but users become overwhelmed with the amount of information available leading to repeated and non-specific searches
Solution Approach 1:
The patent inverts the traditional AI approach by having the AI generate prompts for the user instead of the user querying the AI. The system creates a 'prompt library' with categorized questions and guides users through interactive sessions where the AI adapts prompts based on user responses, transforming information delivery from passive retrieval to active guided learning.
Solution Approach 2:
The system dynamically adjusts prompt difficulty, topic depth, and question complexity based on user performance and preferences. The AI monitors user responses and modifies subsequent prompts to optimize learning effectiveness, changing parameters like prompt length, detail level, and subject matter focus in real-time.
2Loss of information
If generative AI models provide comprehensive information responses, then users receive detailed answers, but users need to submit multiple queries to learn about a topic which increases bandwidth usage
Solution Approach 1:
The system pre-generates a comprehensive prompt library covering multiple topics and depth levels before user interaction. This preliminary action ensures that all necessary information is prepared in advance, allowing the AI to guide users through a structured learning path that covers comprehensive ground in a single interactive session rather than requiring multiple separate queries.
Solution Approach 2:
The interactive prompt session maintains continuous engagement with the user, adapting and building upon previous responses in real-time. The AI continuously adjusts the conversation flow based on user answers, ensuring that learning progresses systematically through related topics without requiring the user to restart or submit new queries, thereby maintaining continuous useful action throughout the interaction.
Data Source
AI summary
A provider computing system includes a processing circuit having at least one processor coupled to at least one memory device and at least one artificial intelligence (AI) system. The processing circuit performs operations including retrieving first data from one or more data sources associated with a user; generating a model associated with the user based on the first data; and receiving, from a client computing device of the user, a query for information relating to a primary topic. The at least one AI system is configured to perform operations including generating a user knowledge dataset relating to the primary topic; determining one or more prompts according to the user knowledge dataset; presenting, via the client computing device, the one or more prompts to the user; and receiving, via the client computing device, a response to the one or more prompts from the user.