人工智能赋能研究生课堂教学质量评价新模式  

A New Evaluation Mode for the Quality of Graduate Classroom Teaching Empowered by Artificial Intelligence

作　　者：刘长红[1] 揭安全[1] 胡珍新[1] 江爱文[1] LIU Changhong;JIE Anquan;HU Zhenxin;JIANG Aiwen(School of Computer and Information Engineering,Jiangxi Normal University,Nanchang 330022,China)

机构地区：[1]江西师范大学计算机信息工程学院,江西南昌330022

出　　处：《软件导刊》2024年第8期204-208,共5页Software Guide

基　　金：江西省学位与研究生教育教学改革研究项目(JXYJG-2022-043);江西省高等学校教学改革研究项目(JXJG-22-2-24)。

摘　　要：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。Aiming at the problems of low evaluation efficiency,incomplete evaluation indicators,unreasonable evaluation process,and untimely 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 proposed from the aspects of evaluation objects,evaluation indicators,implementation process,and evaluation results,exploring multi-dimensional 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.

关 键 词：课堂教学质量评价 人工智能 大数据 智能评价 

分 类 号：G642[文化科学—高等教育学]