Role Transformation and Career Development of Teachers in the Era of Large Language Models
DOI:
https://doi.org/10.53469/wjimt.2025.08(04).01Keywords:
Large language models, Teacher roles, Career development, Human-machine collaboration, Educational intelligenceAbstract
With the breakthrough development of generative artificial intelligence (AI), the education sector is undergoing profound paradigm-level transformations. This paper systematically analyzes the structural impacts and transformative opportunities that large language models (LLMs) bring to the teaching profession from the dual perspectives of technological philosophy and educational sociology. The study reveals that teachers are transitioning from knowledge authorities to cognitive architects, with career development pathways now characterized by the integration of "technological literacy + educational wisdom." By constructing a human-machine collaborative teaching ecosystem, teachers can achieve the regeneration and enhancement of their professional value. The research recommends establishing dynamic teacher competency certification systems to promote the organic integration of educational actors and technological systems.
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