人工智能在教學質量評估中的現狀、機遇與挑戰

The Current Status, Opportunities, and Challenges of Artificial Intelligence in Teaching Quality Assessment

教育研討 / 2024,6(6)：1774-1778 / 2024-12-19 257 615

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• 作者： 劉玉川      易軍     
• 單位：

  重慶科技大學計算機科學與工程學院，重慶

• 關鍵詞： 教學質量評估；人才培養；人工智能
• Teaching quality assessment; Talent cultivation; Artificial intelligence
• 摘要： 教學質量評估是高校人才培養的重要環節。然而，傳統教學質量評估方法存在評估滯后、主觀性強、隨機性大、過程繁瑣且評價片面等缺點，人工智能技術的快速發展為克服傳統教學質量評估的難題帶來了新的解決方案。因此，本文旨在探討人工智能在教學質量評估中的應用現狀、機遇與挑戰。首先闡述了現有教學質量評估方法存在的問題；然后介紹了人工智能方法在教學質量評估中的應用現狀；接著分析了人工智能在教學質量評估中的機遇；最后總結了當下人工智能技術應用于教學質量評估中存在的挑戰。
• Teaching quality assessment constitutes a pivotal component of talent cultivation in higher education institutions. However, conventional methods of evaluating teaching quality suffer from drawbacks such as delayed assessment, subjective bias, pronounced randomness, procedural complexity, and one-sided evaluation. The rapid advancement of artificial intelligence (AI) technology presents new solutions to overcome these limitations inherent in conventional assessment practices. Therefore, this paper aims to explore the current application status, opportunities, and challenges of AI in teaching quality assessment. Initially, the deficiencies of existing methods employed in assessing teaching quality are outlined. Subsequently, the current research status of AI methods in teaching quality assessment are summarized. Furthermore, the opportunities presented by AI in this field are analyzed. Finally, the potential challenges associated with the application of AI technologies in the assessment of teaching quality are presented.
• DOI： https://doi.org/10.35534/es.0606258
• 引用： 劉玉川，易軍．人工智能在教學質量評估中的現狀、機遇與挑戰［J］．教育研討，2024，6（6）：1774-1778．