Computer Science

Computer Science ›› 2026, Vol. 53 ›› Issue (6): 1-9.doi: 10.11896/jsjkx.250600156

• Intelligent Education Technology • Previous Articles     Next Articles

Study on Intelligent Teaching Mode Driven by AI Teachers and Digital Humans

JIANG Jie, YANG Ruoli, QI Rui, WAN Baiyan   

  1. Laboratory of Big Data and Decision,College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
  • Received:2025-06-24 Revised:2025-09-11 Online:2026-06-15 Published:2026-06-09
  • About author:JIANG Jie,born in 1974,professor.His main research interests include artificial intelligence and deep learning,visualization and visual analytics,virtual reality and intelligent interaction.
    YANG Ruoli,born in 2002,doctoral candidate.Her main research interests include deep learning,graphics and image processing.

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Abstract: AI digital human teachers,as an important component of educational intelligence,are gradually being applied in various teaching scenarios.This paper focuses on its universal application in multiple courses,starting from the principle of modular teaching design,analyzing key technologies such as speech synthesis and video generation,and exploring the effectiveness improvement path of AI digital human teachers in teaching environments such as content presentation,motivation stimulation,personalized adaptation,and post learning feedback.And taking the programming course as an example,it proposes specific teaching adaptation mechanisms and improvement methods.Research has shown that AI digital human teachers have potential advantages in improving the adaptability and interactivity of teaching processes,providing feasible ideas for optimizing and exploring future intelligent teaching models.

Key words: AI digital human teachers, Digital human, Modular teaching, Speech synthesis, Teaching effectiveness

CLC Number: 

  • G710
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