Visual, Image and Signal Processing Innovative Application in the Field of Education

视觉、图像和信号处理在教育领域的创新应用


Chair:



Juxiang Zhou


Yunnan Normal University, China



Keywords:

Topics (include but are not limited to):

  • Computer Vision

    (计算机视觉)

  • Image Processing

    (图像处理)

  • Signal Processing

    (信号处理)

  • Multimodal Learning

    (多模态学习)

  • Educational Technology

    (教育技术)

  • Innovative Applications

    (创新应用)

  • Student Behavior Recognition, Analysis, and Intervention Techniques Based on Computer Vision

    (基于计算机视觉的教学行为识别与分析)

  • Real-time Learning Monitoring and Feedback in Smart Classrooms Using Image and Video Understanding

    (图像视频理解在智慧教室中的实时学习监控和反馈)

  • The Application of Speech Signal Processing in Language Learning and Teaching Support

    (语音信号处理在语言学习和教学支持中的应用)

  • Methods and Practices of Multimodal Data Fusion in Educational Data Analysis

    (多模态数据融合在教育数据分析中的方法与实践)

  • The Application of Multimodal Learning Analysis Technology in Classroom Teaching Management and Evaluation

    (多模态学习分析技术在课堂教学管理和评价中的应用)

  • Adaptive Generation of Educational Content and Interaction Design in Multimodal Learning Environments

    (多模态学习环境下的自适应教育内容生成与交互设计)

  • Cross-modal Affective Analysis and Personalized Learning Support Systems

    (跨模态教学情感智能分析与个性化学习支持系统)

  • Collaborative Learning Based on AI Technologies such as Large Models and Agents

    (基于大模型、智能体等AI技术的协作学习)

  • The Application of Biological Signal Processing in the Monitoring and Identification of Learning Psychology, Learning Behavior, Learning States, Etc

    (生物信号处理在学习心理、学习行为、学习状态等监测与识别中的应用)


Summary:

  • This session aims to explore innovative applications of computer vision, image processing, multimodal learning and signal processing in the field of education. These technologies offer new possibilities for educational research and practice, enhancing teaching quality, learning experiences, and personalized education outcomes.


  • 本次专题会议旨在探讨计算机视觉、图像处理、多模态学习和信号处理在智慧教育领域中的深度学习理论、前沿技术和创新应用。通过深度学习方法和先进技术的结合,加强教育数据分析、个性化学习支持以及智能教室环境的优化,以提升教育质量和效果。