摘要
教师是教育第一资源,师范生、教育硕士等未来教师群体是教师队伍的“蓄水池”。提高未来教师培养质量,是健全中国特色教师教育体系、组建高质量教师优质后备军的关键环节。在此背景下,需探讨人工智能技术如何赋能未来教师的高质量培养,以应对当前未来教师教学技能训练中存在的结构性、效能性、机制性和发展性等难题。据此,结合国内外相关文献、政策文件和以往实践经验,通过升级教学基本技能智能实训系统、创新双贯通智能培养模式、保障常态化实训的思路,设计并实践了多智能体支持、双导师协同、多技能融合创新及数字画像诊断四类未来教师教学技能智能实训新模式,并提出职前职后一体化智慧培养路径,为探索数智驱动的教师专业发展新范式积累宝贵经验。
Teachers are the primary resource in education,and future teachers such as normal school students and education master’s degree candidates are the“reservoir”of the teaching force.Enhancing the quality of future teacher training is a crucial link in building a teacher education system with Chinese characteristics and forming a high-quality reserve force of teachers.Against this backdrop,this study explores how artificial intelligence(AI)technology can empower the high-quality training of future teachers to address challenges related to structure,efficiency,mechanism,and development in their current teaching skills training.By integrating domestic and international literature,relevant policy documents,and past practical experiences,the study designs and implements four new models of intelligent training for future teachers’teaching skills:multi-agent support,dual-mentor collaboration,multi-skill integration and innovation,and digital portrait diagnosis through upgrading the intelligent training system of basic teaching skill,innovating the dual-track intelligent training model,and ensuring normalized training.It also proposes an integrated pre-service and in-service intelligent training path,accumulating valuable experience for exploring a new paradigm of teacher professional development driven by digital intelligence.
作者
胡小勇
伍希琳
朱敏捷
李何婷
陈孝然
Xiaoyong HU;Xilin WU;Minjie ZHU;Heting LI;Xiaoran CHEN(Institute of Educational Artificial Intelligence,South China Normal University,Guangzhou 510631,Guangdong;School of Educational Information Technology,South China Normal University,Guangzhou 510631,Guangdong)
出处
《中国教育信息化》
2025年第10期32-40,共9页
Chinese Journal of ICT in Education
基金
2023年广东省研究生教育创新计划项目“人工智能赋能教育硕士教学基本技能训练研究”(编号:2023JGXM_040)。
关键词
未来教师培养
人工智能
教育人工智能
教学技能
教学技能实训
Future teacher training
Artificial intelligence
Educational artificial intelligence
Teaching skills
Teaching skills training
