摘要
作为基础教育阶段开展人工智能教育的主要载体和《普通高中信息技术课程标准(2017年版)》落地的重要依托,《人工智能初步》教材为人们理解人工智能教育提供了代表性样本。文章使用内容分析法,对目前完成的四本《人工智能初步》教材从知识内容、篇章结构、活动设计、评价方式和技术载体五个维度进行了全面分析。研究发现:教学内容方面,教材覆盖了人工智能概念、特征、发展历程、核心算法、典型应用、模块开发、伦理与安全等学科大概念及知识点,各有侧重和拓展;篇章结构方面,四本教材风格各异,章节流程明晰;活动设计方面,主要通过研究性、项目式、探索式活动引导学生拓展思维,具有丰富性、趣味性和协作性等特点,兼顾了知识建构的深度和广度;评价方式方面,均以基于项目的学习评价为主、知识测试为辅,将学生高阶能力发展置于首位;技术载体方面,主要选用国产人工智能开放平台和Python语言。受多种因素的影响,每本教材也各有不足,文章讨论了可能的改进思路。
As the main vehicle for AI education at the basic education stage and an important support for the implementation of the General High School Information Technology Curriculum Standards(2017 Edition),the Preliminary Artificial Intelligence textbook provides a representative sample for people to understand AI education.This paper uses content analysis method to make a comprehensive analysis of the knowledge content,chapter structure,activity design,evaluation methods and technology carrier of the four textbooks of preliminary artificial intelligence.The research finds that:in terms of learning content,the textbook covers the concept,characteristics,development course,core algorithm,typical application,module development,ethics and security of artificial intelligence,with different emphasis and expansion.In terms of chapter structure,the four textbooks have different styles and clear chapter flow.In terms of activity design,students are mainly guided to expand their thinking through research,project and exploration activities,which are rich,interesting and collaborative,and take into account the depth and breadth of knowledge construction.Evaluation method is based on project-based learning evaluation,supplemented by knowledge testing,which prioritizes the development of students'higher-order skills.In terms of technology carrier,the domestic artificial intelligence open platform and Python language are mainly used.Influenced by many factors,each textbook has its own shortcomings,and this paper discusses possible ways for improvement.
作者
詹泽慧
钟柏昌
ZHAN Zehui;ZHONG Baichang(School of Information Technology in Education,South China Normal University,Guangzhou Guangdong 510631)
出处
《电化教育研究》
CSSCI
北大核心
2020年第6期68-74,82,共8页
E-education Research
基金
2019年国家社科基金教育学一般课题“中小学机器人教育中的配对学习模式研究”(课题编号:BCA190088)。
关键词
高中人工智能教育
新课标
教材分析
教学内容
篇章结构
Artificial Intelligent Education in High School
New Curriculum
Textbook Analysis
Learning Content
Chapter Structure
