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学习技术演进视角下的大型组织机构学习管理系统建设与实践研究

赵以霞 熊英 王闰强 刘杨 陶奕湲

数据与计算发展前沿2025,Vol.7Issue(3):94-110,17.
数据与计算发展前沿2025,Vol.7Issue(3):94-110,17.DOI:10.11871/jfdc.issn.2096-742X.2025.03.008

学习技术演进视角下的大型组织机构学习管理系统建设与实践研究

Development and Practice of Learning Management System in Large-Scale Organizations:A Technological Evolution Perspective

赵以霞 1熊英 1王闰强 1刘杨 2陶奕湲1

作者信息

  • 1. 中国科学院计算机网络信息中心,北京 100083
  • 2. 中国科学院,北京 100864
  • 折叠

摘要

Abstract

[Objective]This paper is to analyze the technological and modal characteristics of online learn-ing across its developmental stages and evaluate the innovative value of a self-developed plat-form.[Methods]Through literature review,case comparison,and technical analysis of plat-forms,the study traces the evolution of online learning from Computer-Assisted Instruction(CAI)to AI-enhanced stages,validating technical adaptability via a self-developed platform.[Results]Technological evolution has advanced from the single-medium interaction of CAI to AI-driven adaptive learning,with platform technologies achieving multi-device integration(e.g.,responsive design,cross-platform compatibility).Content production has shifted toward micro-learning mod-ules and personalized recommendations,while learning theories transitioned from behaviorism to learner-cen-tered constructivism.The self-developed platform demonstrates advantages in multi-device adaptability,intelli-gent operations,and personalized learning pathways,addressing lifelong learning demands.[Conclusions]On-line learning is advancing toward intelligence and social interactivity,with technology-education integration as a main trend.The self-developed platform provides an efficient solution for the industry through technical innovation.

关键词

在线学习/技术演进/多终端融合/个性化学习/AI赋能

Key words

online learning/technological evolution/multi-device integration/personalized learning/AI-enhanced education

引用本文复制引用

赵以霞,熊英,王闰强,刘杨,陶奕湲..学习技术演进视角下的大型组织机构学习管理系统建设与实践研究[J].数据与计算发展前沿,2025,7(3):94-110,17.

基金项目

数字中科院——数字化院继续教育体系建设工程(CAS-WX2022GC-0303) (CAS-WX2022GC-0303)

数据与计算发展前沿

2096-742X

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