Knowledge Learning in the Era of Human-Machine Symbiosis: Essence, Paradigm, and Educational Response

The rapid development of artificial intelligence (AI), especially generative AI, is profoundly reshaping the landscape of knowledge production and dissemination, and has also given rise to the practical misconception of replacing traditional knowledge accumulation with AI. Based on this, the paper focused on the debate over the “necessity of knowledge learning” triggered by AI. Firstly, this paper clarified the essence, analyzed the capacity boundaries of machines in knowledge processing and the irreplaceable value of human knowledge learning, and re-examined the necessity of systematical learning knowledge in the era of human-machine symbiosis. Subsequently, taking the human-machine cognitive division matrix and the deep learning dual-chain model as the core support of the human-machine collaborative learning mechanism, this paper constructed a new paradigm of human-machine symbiotic learning supported by the human-machine collaborative learning mechanism. Finally, this paper proposed educational reform paths oriented toward human-machine symbiosis, including the dynamic adjustment paths for knowledge systems, the classroom embedding paths for human-machine collaboration, and three-dimensional evaluation paths for student learning, aiming to provide systematic theoretical explanations and operable practical paths for educational transformation in the intelligent era.