Frontiers of Data and Computing ›› 2025, Vol. 7 ›› Issue (3): 94-110.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.03.008

doi: 10.11871/jfdc.issn.2096-742X.2025.03.008

• Special Issue: 30th Anniversary of the Computer Network Information Center, Chinese Academy of Sciences • Previous Articles     Next Articles

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

ZHAO Yixia1,*(),XIONG Ying1,WANG Runqiang1,LIU Yang2,TAO Yiyuan1   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. Chinese Academy of Sciences, Beijing 100864, China
  • Received:2025-05-15 Online:2025-06-20 Published:2025-06-25

Abstract:

[Objective] This paper is to analyze the technological and modal characteristics of online learning across its developmental stages and evaluate the innovative value of a self-developed platform. [Methods] Through literature review, case comparison, and technical analysis of platforms, 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 modules and personalized recommendations, while learning theories transitioned from behaviorism to learner-centered constructivism. The self-developed platform demonstrates advantages in multi-device adaptability, intelligent operations, and personalized learning pathways, addressing lifelong learning demands. [Conclusions] Online 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.

Key words: online learning, technological evolution, multi-device integration, personalized learning, AI-enhanced education