首页|人工智能支持下的课堂教学评价模型研究

人工智能支持下的课堂教学评价模型研究

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目的:旨在构建一种基于人工智能支持的课堂教学评价模型,要求该课堂教学评价模型适应多样化的智能化教学场景,以此促进人工智能技术在教育领域的持续发展。方法:构建一种基于人工智能技术的课堂教学评价模型,综合考量环境、数据、角色和流程 4 个维度,具备多反馈循环的特性。以文化产业管理专业的实际课堂教学为案例,分析课堂教学评价的需求,随后设计包含评价工具开发、数据收集与分析、报表呈现以及教研员解读等关键环节的课堂教学评价模型。结果:基于人工智能技术的课堂教学评价模型,优化了传统的教学评价方式,为推动教育信息化和智能化提供了新的思路。结论:人工智能支持下的课堂教学评价模型综合考虑了课堂教学评价的多个维度,通过智能算法实现了评价过程的自动化和智能化,为教育领域的持续发展提供了有力支持。
Research on Classroom Teaching Evaluation Model Supported by Artificial Intelligence
Objective:This study aims to construct an artificial intelligence supported classroom teaching evaluation model,which is required to adapt to diverse intelligent teaching scenarios,in or-der to promote the sustainable development of artificial intelligence technology in the field of educa-tion.Method:Construct a classroom teaching evaluation model based on artificial intelligence tech-nology,which comprehensively considers four dimensions with environment,data,role,and process,and has the characteristic of multiple feedback loops.Taking the actual classroom teaching of cultural industry management as a case study,analyze the needs of classroom teaching evaluation,and then design a classroom teaching evaluation model that includes key links such as evaluation tool development,data collection and analysis,report presentation,and interpretation by teaching and re-search personnel.Result:The classroom teaching evaluation model based on artificial intelligence technology has optimized traditional teaching evaluation methods,providing new ideas for promoting educational informatization and intelligence.Conclusion:The classroom teaching evaluation model supported by artificial intelligence comprehensively considers multiple dimensions of classroom teach-ing evaluation,and realizes the automation and intelligence of the evaluation process through intelli-gent algorithms,providing strong support for the sustainable development of the education field.

artificial intelligenceclassroom teaching evaluationevaluation model

谭艳

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上饶幼儿师范高等专科学校,334000,江西,上饶

人工智能 课堂教学评价 评价模型

2024

江西科学
江西省科学院

江西科学

影响因子:0.286
ISSN:1001-3679
年,卷(期):2024.42(5)