AI驱动个性化学习系统：智能评测与自适应教学一体化解决方案

新工科背景下AI赋能的"机电一体化系统设计"案例和项目驱动课程教学实践

为达成符合新质生产力发展的新工科高素质创新型人才的培养目标,文章阐述了在机电一体化系统设计这一综合性核心专业课程中开展AI赋能的实践内容.开展基于知识图谱和问题图谱的教学内容重构,构建机电系统创新设计智慧教学智能体赋能教与学,采用案例驱动和实践项目驱动的教学方法,AI赋能个性化学习路径的生成和多元过程考核评价,形成适应数字时代的"师生机"交互型教学模式,提升了学生的系统化创新能力,为大规模因材施教,创新性与个性化教学提供了解决方案.In order to achieve the goal of cultivating high-quality innovative talents in new engineering disciplines that align with the development of new productive forces, this article describes the practical content of AI empowerment in the comprehensive core professional course of Mechatronic System Design. The practice involves reconstructing teaching content based on knowledge graphs and problem graphs, building an intelligent teaching agent for innovative mechatronic system design to empower both teaching and learning, and adopting case-driven and project-driven teaching methods. AI is utilized to enable the generation of personalized learning paths and diverse process-based assessment and evaluation, forming a "teacher-student-machine" interactive teaching model adapted to the digital era. This approach enhances students' systematic innovation capabilities and provides solutions for large-scale individualized education, as well as innovative and personalized teaching.

基于AI自适应学习系统的小学音乐个性化教学路径探索

人工智能技术在基础教育领域得到广泛使用以后,AI自适应学习系统在小学音乐教学中表现出明显的潜力.本文把AI自适应学习系统当作核心,探寻它在小学音乐个性化教学中的应用途径,目的在于解决传统音乐教学存在的"千人一面",评价粗糙,反馈迟缓等问题.文章先剖析AI技术同小学音乐教育融合的现实情况,然后分析AI自适应系统在教学内容推送,学习过程反馈以及多维能力评价等方面的个性化功能,最后给出创建以AI驱动的音乐教学新范式的策略提议.研究认为,AI助力下,小学音乐个性化教学有益于学生音乐素养的多种化发展,促使教学理念和模式发生变革.

新工科背景下AI赋能的"机电一体化系统设计"案例和项目驱动课程教学实践

为达成符合新质生产力发展的新工科高素质创新型人才的培养目标,文章阐述了在机电一体化系统设计这一综合性核心专业课程中开展AI赋能的实践内容.开展基于知识图谱和问题图谱的教学内容重构,构建机电系统创新设计智慧教学智能体赋能教与学,采用案例驱动和实践项目驱动的教学方法,AI赋能个性化学习路径的生成和多元过程考核评价,形成适应数字时代的"师生机"交互型教学模式,提升了学生的系统化创新能力,为大规模因材施教,创新性与个性化教学提供了解决方案.In order to achieve the goal of cultivating high-quality innovative talents in new engineering disciplines that align with the development of new productive forces, this article describes the practical content of AI empowerment in the comprehensive core professional course of Mechatronic System Design. The practice involves reconstructing teaching content based on knowledge graphs and problem graphs, building an intelligent teaching agent for innovative mechatronic system design to empower both teaching and learning, and adopting case-driven and project-driven teaching methods. AI is utilized to enable the generation of personalized learning paths and diverse process-based assessment and evaluation, forming a "teacher-student-machine" interactive teaching model adapted to the digital era. This approach enhances students' systematic innovation capabilities and provides solutions for large-scale individualized education, as well as innovative and personalized teaching.

电大理工科课程远程个性化教学探索——计算机绘图课程智能学习系统研究

一、智能学习系统与学习者对E-learning的适应近年来,人工智能(Artificial Intelligent,AI)的发展非常迅猛。智能学习系统的核心就是将AI技术引入到基于E-learning的学习系统中,使之能够根据学习者的特点,合理安排教学内容,合理选择教学方法,以满足个别化教学的需要。

人工智能背景下自适应学习系统模型研究

摘要:随着科技的飞速发展,人工智能(AI)在各个领域的应用越来越广泛.其中,AI在教育领域的影响尤为显著.自适应学习系统作为AI在教育领域的一个重要应用,正逐渐受到人们的关注.这种系统能够根据学习者的个体差异和需求,提供个性化的学习体验,从而提高学习效果.基于人工智能技术的个性化自适应学习系统以物联网应用技术专业专本贯通方向为例,针对其特点提出相应的解决方案,旨在提供更加个性化的学习体验,提高学习效果.通过该系统的实现,期望能够为专本贯通教育领域提供一种新的,有效的学习方式.<……

人工智能赋能急危重症护理学实训教学的实践研究

目的探讨人工智能(artificial intelligence,AI)赋能心肺复苏(cardiopulmonary resuscitation,CPR)支架式教学的效果.方法于2024学年—2025学年第二学期,从该校2022级32个护理学专业本科平行班中以抓阄的方式整群抽取16个班,并将其随机分为试验组(8个班,n=238)和对照组(8个班,n=243).试验组接受AI赋能的CPR支架式教学,对照组接受传统教学.教学结束后,比较两组CPR技能考核得分,并对试验组围绕AI赋能CPR支架式教学撰写的学习报告进行主题分析.结果试验组CPR技能考核总得分及各维度得分均高于对照组(P<0.001).通过分析试验组提交的学习报告归纳出4个主题:激发学习兴趣,助力个性化发展;强化急救理念与专业认同;促使技术与人文并进;多维赋能,综合素质提升.结论AI赋能CPR支架式教学能有效提升护理专业学生CPR技能水平,并在一定程度上促进学生综合能力发展,具备良好的应用价值与接受度.