摘要
随着技术的飞速发展,人工智能(AI)与教学的融合正面临着机遇与挑战。作为智慧教育示范区,北京市东城区以英语学科为抓手,推动AI与教学的深度融合,回应智能技术赋能学科教学创新发展路径的探索需求并取得了一定的成果。基于此,文章首先探究了AI与英语学科教学融合的发展现状;然后,文章对北京市东城区的163名高中英语教师进行了开放性问卷调查,并对其中15位教师进行了半结构化访谈,基于TPACK理论模型,揭示了高中英语教师在AI融入教学过程中的机遇与挑战;最后,文章结合北京东城区智能技术与学科教学融合发展多方合作机制,提出AIET模型,从多方协同合作视角总结了AI与学科教学融合实践的发展路径,以期为进一步推动AI与学科教学的深度融合提供未来行动依据。
With the rapid development of technology, the integration of artificial intelligence(AI) and teaching is facing both opportunities and challenges. As an demonstration district of intelligent education, Dongcheng District of Beijing takes English subjects as the starting point to promote the deep integration of AI and teaching. Meanwhile, responding to the exploration demand of the innovative development paths of intelligent technology-enabled teaching has made certain achievements. Based on this, the paper firstly investigated the development status of the integration of AI and teaching. Then, an open-ended questionnaire survey with 163 senior high school English teachers in Dongcheng District of Beijing was carried out, and the semi-structured interviews with 15 of them were conducted. Based on the technological pedagogical content knowledge(TPACK) theoretical model, this paper revealed the opportunities and challenges faced by senior high school English teachers in the process of integrating AI into teaching. Finally, combining with the multi-cooperation mechanism of the integration development of intelligent technology and subject teaching in Dongcheng District of Beijing, this paper proposed an AI supported English teaching(AIET) model, and summarized the development paths for the integration of AI and teaching from the perspective of multi-cooperation, expecting to further promote the in-depth integration of AI and subject teaching.
作者
安欣
沈希
周颖
白荐楠
李玉顺
AN Xin;SHEN Xi;ZHOU Ying;BAI Jian-nan;LI Yu-shun(School of Educational Technology,Beijing Normal University,Beijing,China 100875)
出处
《现代教育技术》
2023年第2期71-79,共9页
Modern Educational Technology
基金
国家自然科学基金“层次行为事件模型启发的课堂教学行为模式挖掘及其关键技术研究”(项目编号:61977009)
北京师范大学博一学科交叉基金“面向核心素养发展的英语教师人工智能素养多模态表征及干预研究”(项目编号:BNUXKJC2102)的阶段性研究成果。
关键词
人工智能
英语教学
中学
英语教师
融合
artificial intelligence
English teaching
secondary school
English teacher
integration