感知情境与人在回路的智能教育——《人工智能与教学的未来:见解与提议》要点与反思  

Intelligent Education with Context Awareness and Human-inthe-loop:Commentaries on“Artificial Intelligence and the Future of Teaching and Learning:Insights and Recommendations”

作　　者：张缨斌 吴若乔 何雨轩 林楠 陈永池 胡小勇[1,3] ZHANG Yingbin;WU Ruoqiao;HE Yuxuan;LIN Nan;CHEN Yongchi;HU Xiaoyong(Institute of Artificial Intelligence in Education,South China Normal University,Guangzhou 510631,China;School of Education,South China Normal University,Guangzhou 510631,China;School of Information Technology in Education,South China Normal University,Guangzhou 510631,China;School of Marxism,South China Normal University,Guangzhou 510631,China;School of Physics,South China Normal University,Guangzhou 510631,China)

机构地区：[1]华南师范大学教育人工智能研究院,广东广州510631 [2]华南师范大学教育科学学院,广东广州510631 [3]华南师范大学教育信息技术学院,广东广州510631 [4]华南师范大学马克思主义学院,广东广州510631 [5]华南师范大学物理学院,广东广州510631

出　　处：《开放教育研究》2023年第4期11-20,共10页Open Education Research

基　　金：国家社会科学基金一般项目“人工智能视域下的教师画像及应用研究”(BCA220206)。

摘　　要：以ChatGPT为代表的生成式人工智能席卷全球,引发热议。在此背景下,美国教育部教育科技办公室2023年5月发布《人工智能与教学的未来:见解与提议》报告,认为人工智能在改善自适应学习、教学流程、教师专业发展、形成性评估等方面有巨大潜能,倡导教学回路以人为中心,把研发重点放在解决情境感知、安全、可解释度、可信度等问题,提议教育人工智能的设计应遵循现代学习理论,呼吁教育领导者制定针对性指导方针和保障措施。本文基于该报告,提出我国教育研究与实践的启示:提高人工智能对教育情境的感知能力和对多样化学习的适应性,构建“人在回路”的教育人工智能生态,探索高阶能力培养体系。ChatGPT and other generative artificial intelligence applications have sparked a global discussion about their potential in education.In May 2023,the Office of Educational Technology of the U.S.Department of Education released a report titled“Artificial intelligence and the future of learning and teaching:Insights and recommendations”.The report highlights the significant potential of artificial intelligence in enhancing adaptive learning,supporting teachers in their roles and professional development,and improving formative assessment practices.It recommends research and development to focus on addressing context awareness and enhancing safety,explainability,and trust.Further,the report advocates for aligning the design of artificial intelligence with modern learning theories and urges educational leaders to establish guidelines and guardrails for its implementation in education.Based on the research and through reflections,the article offers three critical implications of the report for educational research and practices,including enhancing the context awareness of artificial intelligence in education and its adaptivity to diverse learning needs,ensuring that artificial intelligence systems prioritize human-centered approaches,and emphasizing the development of higher-order abilities in learners.These implications provide a reference for both the practice and research of artificial intelligence applications in education.

关 键 词：人工智能 人在回路 情境感知 适应性 高阶能力 

分 类 号：G434[文化科学—教育学]