首页|教学过程智能化发展评估新方向——《2023人工智能促进教育发展报告》节选三

教学过程智能化发展评估新方向——《2023人工智能促进教育发展报告》节选三

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智能技术的快速发展深刻影响着教育的理念重塑和形态变革.教学过程智能化对促进人的个性化发展,培养创新型人才,形成人才竞争力具有重要意义.通过检索国内外文献发现,目前尚未形成科学完善的教学过程智能化发展评价指标体系.该研究采用调查研究、专家访谈等方法,系统构建了教学过程智能化发展评价框架体系,并通过专家调查法和层次分析法对各项指标体系进行权重计算,最终形成包括人机协同与具体教学过程应用2个二级指标、13个3级指标的教学过程智能化发展评价指标体系,完善人工智能促进教育发展的评估体系,明确教学过程研究的未来指向,有助于推动智能技术全面融入教学全过程,为数字教学改革发展与评价提供参照.
New Direction of Intelligent Development Assessment of Teaching Process:Excerpt from the 2023 Annual Report on Artificial Intelligence Promoting the Development of Education (Ⅲ)
The rapid development of intelligent technology is profoundly influencing the reshaping of educational concepts and the transformation of its form. Intelligent teaching process is of great significance in promoting individualized development, cultivating innovative talents, and forming competitive human resources. Through the retrieval of domestic and foreign literature, a scientific and perfect evaluation index system for the intelligent development of teaching process has not yet been formed. Therefore, this study adopts research investigation, expert interviews, and other necessary methods to systematically construct an evaluation framework system for the intelligent development of teaching process. Through expert investigation method and analytic hierarchy process, the weight calculation of each indicator system is carried out, ultimately forming an evaluation index system for the intelligent development of teaching process including two secondary indicators of human-machine collaboration and specific teaching process application, and 13 third-level indicators. This improves the assessment system for artificial intelligence promoting educational development, clarifies the future direction of teaching process research, and will help promote the full integration of intelligent technology into the entire teaching process, providing a reference for the reform and evaluation of digital teaching development.

Intelligent teaching processGAIMan-machine collaborationIndicator systemWeighting factor

唐瓷、陈博、李垚秋

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成都师范学院教育信息化推进办公室,四川成都611130

四川省教育信息化与大数据中心,四川成都610000

教学过程智能化 生成式人工智能 人机协同 指标体系 权重系数

中国教育学会2023年度教育科研重点委托课题四川省高等教育学会2021年教育信息化研究课题成都师范学院2022年度校级科研项目

202300001101WTAJXHXXH21-ZD-09CS22RGZN05

2024

中国教育信息化
教育部教育管理信息中心

中国教育信息化

影响因子:0.786
ISSN:1673-8454
年,卷(期):2024.30(7)
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