Construction of Personalized Learning Model Supported by Human-computer Cooperation

Ziqi Wang, S. Wang
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Abstract

The rapid development of artificial intelligence technology has injected new vitality into the education industry. With the support of big data, students' process activity data can be properly recorded. Through automatic coding, students' learning process and learning results can be analyzed to help teachers master students' learning dynamics, so that the cultivation of students' computing thinking more targeted. Taking the programming course as an example, based on big data analysis, multimedia assistance, teaching evaluation integration, teacher wisdom integration and machine wisdom, combined with the core quality of the discipline, build a "personalized learning model supported by human-computer collaboration", in order to provide teachers with accurate teaching ideas, and provide support for students' personalized and diversified development.
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基于人机合作的个性化学习模式构建
人工智能技术的快速发展为教育行业注入了新的活力。在大数据的支持下,学生的过程活动数据可以被恰当地记录下来。通过自动编码,对学生的学习过程和学习结果进行分析,帮助教师掌握学生的学习动态,使学生的计算思维培养更有针对性。以编程课程为例,基于大数据分析、多媒体辅助、教学评价集成、教师智慧集成和机器智慧,结合学科核心素质,构建“人机协作支撑的个性化学习模式”,为教师提供精准的教学思路,为学生个性化、多元化发展提供支持。
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