国际中文开源期刊平台

人工智能在教学质量评估中的现状、机遇与挑战

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

教育研讨 / 2024,6(6)：1774-1778 / 2024-12-19 93 154

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• 作者： 刘玉川      易军     
• 单位：

  重庆科技大学计算机科学与工程学院，重庆

• 关键词： 教学质量评估；人才培养；人工智能
• Teaching quality assessment; Talent cultivation; Artificial intelligence
• 摘要： 教学质量评估是高校人才培养的重要环节。然而，传统教学质量评估方法存在评估滞后、主观性强、随机性大、过程繁琐且评价片面等缺点，人工智能技术的快速发展为克服传统教学质量评估的难题带来了新的解决方案。因此，本文旨在探讨人工智能在教学质量评估中的应用现状、机遇与挑战。首先阐述了现有教学质量评估方法存在的问题；然后介绍了人工智能方法在教学质量评估中的应用现状；接着分析了人工智能在教学质量评估中的机遇；最后总结了当下人工智能技术应用于教学质量评估中存在的挑战。
• 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： 刘玉川，易军．人工智能在教学质量评估中的现状、机遇与挑战［J］．教育研讨，2024，6（6）：1774-1778．