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ASEAN Journal of Educational Research and Technology· 2026Q2

Enhancing Design Thinking through Artificial Intelligence (AI)-Augmented Curriculum to Support Sustainable Development Goals (SDGs) in Chinese Vocational Education: A Bibliometric and Mixed-Methods Study

Feng Yang, Jiraporn Chano, Bahtiar Mohamad

Short summary

An AI-augmented curriculum improved design thinking skills, particularly collaboration and problem-solving, in Chinese vocational students, though empathy development lagged due to AI's standardized outputs.

AI-generated from the title and abstract; the full text is not read.

Key points

  • AI-augmented curriculum improved overall design thinking in Chinese vocational students.
  • Key areas of improvement included collaboration, problem orientation, and test iteration.
  • Empathy development was slower, attributed to generative AI's standardized, less emotionally nuanced outputs.
  • The study emphasizes integrating AI with human guidance, reflection, and ethical judgment.

AI-generated from the title and abstract; the full text is not read.

Abstract

Traditional vocational art and design education in China often emphasizes technical skills while providing limited support for creative problem-solving. This study developed and evaluated an artificial intelligence (AI)-augmented curriculum to enhance design thinking and support Sustainable Development Goals in Chinese vocational education. A bibliometric and mixed-methods design was applied through curriculum mapping, pre-test and post-test measurement, and semi-structured interviews. The findings showed improvement in overall design thinking, especially collaboration, problem orientation, and test iteration. However, empathy developed more slowly because generative AI produced standardized outputs with limited emotional depth. The study highlights the value of integrating AI with human guidance, reflective practice, and ethical creative judgment.

The authors' abstract, as published at the source. ASEAN Journal of Educational Research and Technology, 2026 · DOI ↗

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Field: Mechanical Engineering

Mechanical EngineeringEngineering