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May 22, 2026International Journal of Continuing Engineering Education and Life-Long Learning0 citationsOpen Access

Teaching content generation and semantic information extraction for art and design courses targeting AIGC

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BZBo Zhang

Key Points

  • To explore effective teaching methods for content generation and semantic information extraction in art and design education.
  • Developed courses focusing on AIGC methodologies
  • Implemented assessments to evaluate student performance
  • Utilized various instructional strategies to enhance learning
  • Significant improvement in student engagement observed
  • Higher proficiency in semantic information extraction noted
  • Positive feedback from participants regarding teaching effectiveness

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Bo Zhang (2026) studied this question.

synapsesocial.com/papers/6a0ff42fd674f7c03778d5cchttps://doi.org/10.1504/ijceell.2026.10078590
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