Multimodal Large Model Virtual Character for Art Teaching
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Solution Overview
Problem
Current online art teaching systems are passive, manual, and single-interface, lacking flexibility and efficiency, which hinders student engagement and teacher productivity.
Innovation Solution
A method utilizing a multimodal large model to generate painting knowledge text, driving a virtual character with voice and action instructions, enabling on-demand explanations and comments through a digital human interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a traditional manual online art teaching system is used, then the system structure is simple, but the productivity and student engagement are low
Solution Approach 1:
The system enables self-service teaching through the virtual character that autonomously provides art teaching content, commentary, and guidance without requiring manual intervention from teachers, thereby improving productivity while maintaining manageable system complexity through automated workflows
Solution Approach 2:
A virtual character serves as an intermediary between teachers and students, mediating the teaching process by delivering pre-prepared art knowledge, providing real-time commentary on student works, and facilitating interaction without requiring direct teacher involvement in each teaching instance
2Adaptability or versatility
If a passive manual teaching system is used, then the device complexity is low, but the adaptability and flexibility are insufficient
Solution Approach 1:
The system transitions from static pre-recorded content to dynamic adaptive teaching where the virtual character can respond to different student inputs, provide customized commentary based on uploaded artworks, and adjust teaching pace and content based on student needs, enhancing flexibility through dynamic interaction
Solution Approach 2:
The virtual character performs multiple functions including art technique instruction, real-time commentary on student works, Q&A sessions, and personalized feedback, making the system universally applicable to various art teaching scenarios without requiring separate systems for each function
3Productivity
If manual teaching methods are used, then the system is simple to operate, but the efficiency and real-time interaction capability are poor
Solution Approach 1:
The system replaces manual mechanical teaching processes with automated AI-driven virtual character interactions, where the virtual character automatically generates commentary, provides feedback, and delivers teaching content without requiring manual operation for each teaching instance, significantly improving efficiency
4Adaptability or versatility
If a single-interface system is used, then the device complexity is low, but the student engagement and interaction quality are limited
Solution Approach 1:
The system transitions from traditional text-based or video-based single-dimension interfaces to a multi-dimensional interaction model where students can upload images, receive visual commentary, engage in voice or text conversation, and get personalized feedback, enriching the interaction experience across multiple dimensions
Data Source
AI summary
A method of generating a content based on a large model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of deep learning, natural language processing, computer vision, large models, etc. The method includes performing an intention recognition on an input information in response to receiving the input information; generating a painting knowledge text by invoking a multimodal large model based on an intention for painting knowledge acquisition in response to recognizing the intention for painting knowledge acquisition from the input information; generating a first driving voice and a first action instruction for driving a virtual character according to the painting knowledge text; and broadcasting the painting knowledge text by driving the virtual character according to the first driving voice and the first action instruction.