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人工智能赋能研究生课堂教学质量评价新模式

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针对当前研究生课堂教学质量评价效率低、评价指标不全面、评价过程不合理、评价结果反馈不及时等问题,秉持"AI+教育"的创新发展理念,从评价对象、评价指标、实施过程和评价结果方面,提出基于人工智能技术的智能化研究生课堂教学质量评价新模式,探索多维度、多元化的研究生课堂教学质量评价指标以及持续改进的评价结果反馈机制,阐述了基于人工智能和大数据分析的研究生课堂质量评价系统架构思路.将人工智能应用于研究生课堂教学质量评价,有助于提高课堂教学质量评价效率,推动学校教育信息化水平.
A New Evaluation Mode for the Quality of Graduate Classroom Teaching Empowered by Artificial Intelligence
Aiming at the problems of low evaluation efficiency,incomplete evaluation indicators,unreasonable evaluation process,and un-timely feedback of evaluation results in the current evaluation of graduate classroom teaching quality,with the innovative development concept of"AI+education",a new intelligent evaluation mode for graduate classroom teaching quality based on artificial intelligence technology is pro-posed from the aspects of evaluation objects,evaluation indicators,implementation process,and evaluation results,exploring multi-dimen-sional and diversified evaluation indicators for graduate classroom teaching quality,as well as a continuous improvement feedback mechanism for evaluation results.The application of artificial intelligence to the evaluation of postgraduate classroom teaching quality is helpful to improve the evaluation efficiency of classroom teaching quality and promote the level of school education informatization.

classroom teaching quality evaluationartificial intelligencebig dataintelligent evaluation

刘长红、揭安全、胡珍新、江爱文

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江西师范大学 计算机信息工程学院,江西 南昌 330022

课堂教学质量评价 人工智能 大数据 智能评价

2024

软件导刊
湖北省信息学会

软件导刊

影响因子:0.524
ISSN:1672-7800
年,卷(期):2024.23(8)