基于“AI+教育”的高校人机协同教学模式路径探索及应用研究
DOI:
CSTR:
作者:
作者单位:

重庆人文科技学院 重庆 401524

作者简介:

王晗(1985—),硕士,副教授,研究方向为数字化与教育教学。

通讯作者:

中图分类号:

G434

基金项目:


Exploration and Application Research of Human-machine Collaborative Teaching Mode inColleges and Universities Based on“ AI+ Education”
Author:
Affiliation:

Chongqing University of Humanities and Technology,Chongqing 401524 ,China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    随着人工智能(AI)技术的快速发展,其在提升教学效率和学习体验方面的潜力日益显现。高等教育机构应积极探索人机协同教学模式,在AI 技术的帮助下优化教学过程,实现教师与学生之间的高效互动。文中详细探讨了AI 技术原理在教育领域的应用,分析了人机协同教学模式的设计框架,包括模式的架构、关键技术的应用以及如何构建个性化的学习路径。同时,分析了教学互动与反馈机制,包括教师与AI 系统的协同工作方式、学生与AI 的互动模式以及通过AI 系统实现的实时反馈与评估机制。

    Abstract:

    With the rapid development of artificial intelligence (AI) technology, its potential in improving teaching efficiency andlearning experience is becoming increasingly apparent. In higher education institutions, human-machine collaborative teachingmodels should be actively explored, and the teaching process should be optimized with the help of AI technology to achieve efficientinteraction between teachers and students. This paper discusses the application of AI technology principles in the field of educationin detail, and analyzes the design framework of the human-machine collaborative teaching model, including the architecture of themodel, the application of key technologies, and how to build a personalized learning path. At the same time, it analyzes the teachinginteraction and feedback mechanism, including the collaborative working mode between teachers and AI systems, the interactionmode between students and AI, and the real-time feedback and evaluation mechanism realized through AI systems.

    参考文献
    相似文献
    引证文献
引用本文

王晗.基于“AI+教育”的高校人机协同教学模式路径探索及应用研究[J].移动信息,2024,46(7):114-116.
[author_e n_name]. Exploration and Application Research of Human-machine Collaborative Teaching Mode inColleges and Universities Based on“ AI+ Education”[J].,2024,46(7):114-116.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-09-09
  • 出版日期:
文章二维码
关闭