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March 3, 2026International Journal of Continuing Engineering Education and Life-Long Learning0 citationsOpen Access

Development and testing of a teaching quality assessment and examination data collection system based on artificial intelligence

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HYHuihui YinShanghai Industrial Technology Institute

Key Points

  • A new system for teaching quality assessment integrates artificial intelligence, improving data handling and efficiency.
  • The artificial intelligence-based system successfully collects detailed assessment and examination data.
  • Observational analysis focuses on implementing data collection in educational settings and refining assessment metrics.
  • The findings highlight the potential for enhanced teaching evaluation by streamlining data collection processes.

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

Huihui Yin (2026) studied this question.

synapsesocial.com/papers/69a76070c6e9836116a2d30fhttps://doi.org/10.1504/ijceell.2026.10076138
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