人工智能在高校教学评价中的应用与实践探索
Application and Practice Exploration of Artificial Intelligence in University Teaching Evaluation
DOI: 10.12677/ae.2026.164705, PDF,    科研立项经费支持
作者: 邱丹萍, 肖小川:广东白云学院大数据与计算机学院,广东 广州
关键词: 人工智能教学评价大数据分析Artificial Intelligence Teaching Evaluation Big Data Analysis
摘要: 随着人工智能技术的飞速发展,人工智能也开始应用于各个场景。高校教育教学也在这场信息化的发展变革中逐步实现转型,教学评价作为高校教育教学改革中的重要一环,人工智能技术在高校教学评价领域的应用也日益广泛且深入。本文探讨了人工智能在高校教学评价中的应用现状、优势以及面临的挑战,并提出了相应的实践策略与未来展望。本文通过引入智能教学评价系统、大数据分析等技术手段,使高校能够更好地解决教学评价中遇到的一些问题,实现更加客观、精准和高效的教学评价,为提升教学质量提供有力支持。
Abstract: With the rapid development of artificial intelligence technology, artificial intelligence has also begun to be applied in various scenarios. Higher education and teaching are gradually undergoing transformation in the development and transformation of informatization. As an important part of higher education and teaching reform, teaching evaluation has become increasingly widespread and in-depth in the field of artificial intelligence technology. This article explores the current application status, advantages, and challenges of artificial intelligence in university teaching evaluation, and proposes corresponding practical strategies and future prospects. This article introduces intelligent teaching evaluation systems, big data analysis and other technological means, which enable universities to better solve some problems encountered in teaching evaluation, achieve more objective, accurate and efficient teaching evaluation, and provide strong support for improving teaching quality.
文章引用:邱丹萍, 肖小川. 人工智能在高校教学评价中的应用与实践探索[J]. 教育进展, 2026, 16(4): 720-725. https://doi.org/10.12677/ae.2026.164705

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