Today, as ai has moved from concept to industrial application, it has become the core engine driving educational reform and efficiency improvement. AIGC (Artificial Intelligence Generated Content) refers to an advanced paradigm that uses artificial intelligence technology to automatically or assist in generating multimodal digital content such as text, images, audio, video, and code. how to leverage ai technology to inject new momentum into educational development has become a key issue. against this backdrop, kmax is committed to deeply integrating advanced ai large models to build a smart teaching platform with intelligent lesson preparation, personalized tutoring, and precise learning situation analysis capabilities, promoting a systematic upgrade of education from the "traditional model" to "technology-enabled education". through a comprehensive ai system solution, kmax aims to completely transform the "one-size-fits-all" traditional teaching method, provide each student with tailor-made learning paths and real-time feedback, significantly reduce teachers' workload, and turn the educational ideal of "teaching students in accordance with their aptitude" into practical teaching practice. it also synchronously converts textbook text into pictures and videos, rearranging content with more vivid and intuitive visuals while retaining core knowledge points. by transforming abstract concepts into concrete forms through dynamic diagrams, situational short videos, etc., it helps students understand quickly, stimulates learning interest, and ultimately achieves an overall improvement in teaching quality and students' comprehensive literacy.
WITFORGE AI is an integrated AI capability platform specifically built for the vocational education field. It integrates a general large model base, AI teaching agents, personal knowledge bases, and practical training resource plug-ins, providing intelligent support for the entire teaching and practical training scenarios. Based on in-depth construction of vocational education resource data, competency maps, and practical training resource libraries, the platform is committed to promoting the intelligent transformation and upgrading of vocational education teaching models and practical training systems.
Supports instant Q&A, in-depth thinking, web search, and multi-format file parsing, with image recognition and knowledge card generation capabilities. Through the "AI Knowledge Space", the system can answer based on professional materials uploaded by teachers, ensuring the output content is authentic, credible, and evidence-based.
Users can quickly generate customized micro-applications through natural language, covering scenarios such as teaching plan formulation, topic recommendation, learning path planning, policy interpretation, and full-text script generation. It supports editing, debugging, previewing, and releasing of applications, enabling low-code construction of teaching agents.
Focusing on the entire teaching design process, it supports the automatic generation of teaching documents, learning situation analysis, teaching reflection, and evaluation materials. It can quickly generate courseware based on PPT outlines and knowledge bases, providing multiple template options and local downloads. It also supports generating 3D model resources through prompts or reference images, enriching practical training teaching materials.
Integrating data management, intelligent search, and content creation, it supports multi-format file parsing, automatic generation of knowledge cards, and provides a dual interaction mechanism of "Exploration Mode" and "Creation Mode". It assists teachers in efficiently completing lesson preparation, Q&A, and resource integration, significantly improving the efficiency of teaching preparation and knowledge management.
It core value lies in reshaping the way content is produced and distributed. Based on advanced algorithms such as diffusion models and generative adversarial networks (GANs), this tool aims to realize the automation and intelligence of content creation through AI technology, significantly improving the creative production efficiency of various industries and reducing professional thresholds and labor costs. In the field of education, relying on its powerful generation capabilities, AIGC technology can generate personalized lesson plans, hierarchical exercises, and multimodal learning materials highly matching teaching scenarios in seconds. Text-to-image converts abstract concepts into high-definition images and mind maps; text-to-video dynamically reproduces experiments, history, and language scenarios, enhancing immersion. Students can generate comics, audio, or short videos from knowledge according to their interests to achieve personalized learning; teachers can iterate resources with natural language, reducing lesson preparation workload and focusing on classroom interaction. Schools can continuously accumulate school-based resource libraries, promote the sharing and evolution of high-quality content, and accelerate the digital transformation of education.
All-round content generation: Breaking the limitation of single modality, it provides full-stack generation and cross-modal conversion capabilities from documents, images to 3D models, videos, music, and even digital humans.
Instantly output multimodal materials, matching diverse teaching scenarios with one click. The efficiency of teaching material generation is increased by 500%, compressing workflows that take weeks into hours.
School-based resource libraries continue to accumulate, iterate, and share, significantly reducing labor costs and accelerating the digital and intelligent transformation and upgrading of education.
