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January 1, 2026International Journal of Continuing Engineering Education and Life-Long LearningOpen Access

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

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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

Implication

Evaluates content generation techniques in art and design courses, suggesting effective teaching methods.

Abstract

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Cite This Study

Bo Zhang (2026) studied this question.

synapsesocial.com/papers/6a0ff42fd674f7c03778d5cc https://doi.org/10.1504/ijceell.2026.10078590

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