摘要
传统课堂教学行为分析多以人脑分析为主,存在依赖专家、分析效率低、分析不准确等问题。信息化课堂中教学行为分析多通过单一言语行为来考量,手势、眼部表情、身体动作等其他课堂行为难以体现。人工智能技术突破了传统和信息化课堂教学行为分析的局限,实现了分析的自动化和智能化,使得课堂教学行为分析更加精准、全面、真实。研究从舆论造势、技术担忧和安全伦理三方面分析了人工智能技术支持下的课堂教学行为分析的发展困境。研究通过对人工智能技术支持的课堂教学行为分析发展、困境和路径的分析,认为,“人工与人脑的统一”为课堂教学行为分析带来创新突破,将成为人工智能技术支持下的课堂教学行为分析与发展的新路径。
Traditional analysis of classroom teaching behavior is mainly based on human brain analysis,which has some problems such as reliance on experts,low analysis efficiency and inaccurate analysis.In the information-based classroom,the analysis of classroom teaching behavior is mostly considered through a single speech act,while other classroom behaviors such as gestures,eye expressions and body movements are difficult to reflect.Artificial intelligence technology has broken through the limitations of teaching behavior analysis both in traditional and information-based classroom and realizes automation and intelligence in analysis,which makes the analysis more accurate,comprehensive and real.This study analyzes the development dilemma of classroom teaching behavior analysis supported by artificial intelligence technology from three aspects:public opinion,technological concerns and safety ethics.Through the analysis of the development,dilemma and path of classroom teaching analysis supported by artificial intelligence technology,this study concludes that"the unity of artificial and human brain"will bring innovative breakthroughs for classroom teaching behavior analysis,and will become a new path for the analysis and development of classroom teaching behavior supported by artificial intelligence technology.
作者
赵丽
贺玮
王洋
ZHAO Li;HE Wei;WANG Yang(School of Education Science,Nanjing Normal University,Nanjing Jiangsu 210097)
出处
《电化教育研究》
CSSCI
北大核心
2022年第1期86-92,共7页
E-education Research
基金
国家社科基金“十三五”规划2020年度教育学一般课题“从表征到生成:在线教育资源的符号逻辑研究”(课题编号:BCA200093)。
关键词
人工智能
多模态大数据
课堂教学行为分析
人脑智能
路径
Artificial Intelligent
Multimodal Big Data
Classroom Teaching Behavior Analysis
Intelligence Based on Brain
Path
