人工智能支持智慧学习的方向与途径
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摘要
针对当前信息技术还没有真正引发教师课堂教学和学生个性化学习革命的问题,该文剖析了出现这些问题的主要原因是,技术只用来为原有教学思路和方法提供教学条件,而未用来改变教学方式和方法。从技术支持疑难知识学习和构建感悟探究环境,基于数据优化教师教学和引导学生高品质个性化学习等方面,阐述了人工智能改变学习的基本思路。提出了应从学生有针对性学习、优质教师供给、疑难知识学习、提供更多探究机会、动态掌控和调整教学和学习、系统评价教师教学等方面,应用人工智能等技术支持学生学习和课堂教学变革与创新,实现高品质学习。从数据驱动的智慧学习、依据知识与能力图谱采集学习大数据和基于学习大数据构建和优化学习路网等方面,讨论了以智慧学习路网为基础构建"人网融合"智慧学习新样态的途径和方法。
In view of the fact that information technology has not really triggered the revolution of teachers' teaching and students' individualized learning, the main reason for these problems is that technology is only used to provide teaching conditions for the original teaching ideas and methods, but not to change teaching methods and modes. This paper expounds the basic ideas of AI to change learning from the aspects of technical support for difficult knowledge learning and construction of perception inquiry environment, data-based optimization of teachers' teaching and guidance of students' high-quality personalized learning. It is proposed that AI should be applied to support students' learning and classroom teaching reform and innovation in terms of students' targeted learning, high-quality teachers' supply, difficult knowledge learning, more exploration opportunities, dynamic control and adjustment of teaching and learning, and systematic evaluation of teachers' teaching, so as to achieve high-quality learning. From the aspects of data-driven intelligent learning, acquisition of learning data based on knowledge and ability map, construction of learning data and optimization of learning path network, this paper discusses the orientation and route of building a new human-network integration intelligent learning mode based on intelligent learning path network.
In view of the fact that information technology has not really triggered the revolution of teachers' teaching and students' individualized learning, the main reason for these problems is that technology is only used to provide teaching conditions for the original teaching ideas and methods, but not to change teaching methods and modes. This paper expounds the basic ideas of AI to change learning from the aspects of technical support for difficult knowledge learning and construction of perception inquiry environment, data-based optimization of teachers' teaching and guidance of students' high-quality personalized learning. It is proposed that AI should be applied to support students' learning and classroom teaching reform and innovation in terms of students' targeted learning, high-quality teachers' supply, difficult knowledge learning, more exploration opportunities, dynamic control and adjustment of teaching and learning, and systematic evaluation of teachers' teaching, so as to achieve high-quality learning. From the aspects of data-driven intelligent learning, acquisition of learning data based on knowledge and ability map, construction of learning data and optimization of learning path network, this paper discusses the orientation and route of building a new human-network integration intelligent learning mode based on intelligent learning path network.
引文
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[6][7][8]钟绍春.构建信息时代教育新模式[J].电化教育研究,2019,40(4):23-29.
[2]教技[2018]6号文件,教育部关于印发《教育信息化2.0行动计划》的通知[Z].
[3]《规范》现目编制组.《中小学数字校园建设规范(试行)》解读[J].中国电化教育,2018,(10):1-6.
[4]钟绍春,唐烨伟等.智慧教育的关键问题思考及建议[J].中国电化教育,2018,(1):106-111.
[5]钟绍春,唐烨伟.人工智能时代教育创新发展的方向与路径研究[J].电化教育研究,2018,39(10):15-20.
[6][7][8]钟绍春.构建信息时代教育新模式[J].电化教育研究,2019,40(4):23-29.