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Perceptions Toward Artificial Intelligence (AI) Among Animal Science Students in Chinese Agricultural Institutions—From Perspectives of Curriculum Learning, Career Planning, Social Responsibility, and Creativity

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Listed:
  • Jun Shi

    (College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225009, China
    These authors contributed equally to this work.)

  • Ye Feng

    (College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
    These authors contributed equally to this work.)

  • Xiang Cao

    (College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China)

  • Rui Gao

    (College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China)

  • Zhi Chen

    (College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China)

Abstract

As artificial intelligence (AI) technology continues to advance and iterate, various industries have undergone intelligent reformation. China’s animal husbandry industry, given its importance for people’s livelihoods, is no exception to this transformation. Using AI technology in this field is becoming increasingly common since it not only improves production efficiency but also revolutionizes traditional business models. Animal science is a fundamental discipline that drives the progress of animal husbandry by studying the growth, breeding, nutritional needs, and feeding management of livestock and poultry. This discipline also explores advanced veterinary theories and technologies for epidemic prevention and control. The ultimate objective of this discipline is to ensure the production of high-quality and sufficient animal products to fulfill the demands of both production and daily life. It is predicted that the deep integration of AI technology into animal science will bring unprecedented opportunities to the animal husbandry industry. This study aims to explore the impact of artificial intelligence (AI) on students’ learning experiences and future educational directions. By situating the research within the context of current developments in educational technology, we hope to provide valuable insights for educators and policymakers and employ a questionnaire survey to explore the perceptions and attitudes of students majoring in animal science from various agricultural institutions in China toward this integration. The results of the study provide valuable and practical references for the cultivation and development of artificial intelligence talent in China’s livestock industry.

Suggested Citation

  • Jun Shi & Ye Feng & Xiang Cao & Rui Gao & Zhi Chen, 2025. "Perceptions Toward Artificial Intelligence (AI) Among Animal Science Students in Chinese Agricultural Institutions—From Perspectives of Curriculum Learning, Career Planning, Social Responsibility, and," Sustainability, MDPI, vol. 17(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2427-:d:1609164
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    References listed on IDEAS

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    1. Sebastian Terence & Jude Immaculate & Anishin Raj & Jeba Nadarajan, 2024. "Systematic Review on Internet of Things in Smart Livestock Management Systems," Sustainability, MDPI, vol. 16(10), pages 1-37, May.
    2. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
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