This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysi...This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysis was conducted using the SAMR,UTAUT,and GHEX-IPACK theoretical frameworks.The findings indicate that AI technology is primarily applied in scenarios such as resource generation,assignment distribution,and learning analytics.By substituting traditional tools,enhancing teaching interactions,and reconstructing instructional processes,AI facilitates a shift in teaching strategies from“teacher-led”to“human-AI collaboration”.Teachers generally recognized the potential of this model for improving efficiency and supporting personalized learning,but also pointed out challenges,including data bias,hardware limitations,and a lack of emotional interaction.The study suggests that achieving deep human-AI collaboration requires balancing technological efficacy with humanistic care relying on blended instructional design and teacher training to optimize teachers’knowledge structures.This research preliminary constructs a practical model of human-AI collaboration in secondary school English education,providing insights for teacher professional development.展开更多
基金supported by the Jinan University Teaching Research Project:Investigation and Path Optimization of Teachers’Lesson Planning Model Based on the“Human-AI Collaborative Workflow”,the 2025 Special Project for Quality Improvement and Upgrading Reform of Experimental Teaching at Jinan University(Project No.:82625039)the Higher Education Special Program of Guangdong Provincial Education Science Planning Project(Project No.:2023GXJK233).
文摘This study explores the impact of human-AI collaborative teaching strategies on English teachers in secondary schools.Based on semi-structured interviews with five English teachers in Jiangxi Province,thematic analysis was conducted using the SAMR,UTAUT,and GHEX-IPACK theoretical frameworks.The findings indicate that AI technology is primarily applied in scenarios such as resource generation,assignment distribution,and learning analytics.By substituting traditional tools,enhancing teaching interactions,and reconstructing instructional processes,AI facilitates a shift in teaching strategies from“teacher-led”to“human-AI collaboration”.Teachers generally recognized the potential of this model for improving efficiency and supporting personalized learning,but also pointed out challenges,including data bias,hardware limitations,and a lack of emotional interaction.The study suggests that achieving deep human-AI collaboration requires balancing technological efficacy with humanistic care relying on blended instructional design and teacher training to optimize teachers’knowledge structures.This research preliminary constructs a practical model of human-AI collaboration in secondary school English education,providing insights for teacher professional development.
