基于优序层次分析的学生形成性评价指标体系构建
Construction of Student Formation Evaluation Index System Based on Hierarchical Priority Analysis
摘要: 目前的学生形成性评价内容片面,存在评价不够客观、全面的问题,为解决这些问题,本研究通过问卷调查获取数据,并基于数据相关有效性分析,层次分析法初步确定二级指标权重分配,优序图确定指标体系权重分配,最终构建学生形成性评价指标体系。结果表明,基于优序层次分析的学生形成性评价指标体系不仅能够帮助教师更准确地了解学生的学习状态和进步情况,还能够为学生提供有针对性的学习建议和反馈,促进他们的全面发展。
Abstract: The current formative assessment of students is one-sided, with issues of insufficient objectivity and comprehensiveness. To address these problems, this study collected data through a questionnaire survey and, based on relevant validity analysis of the data, used the Analytic Hierarchy Process to preliminarily determine the weight distribution of secondary indicators. The priority graph was used to determine the weight distribution of the indicator system, ultimately constructing a formative assessment indicator system for students. The results show that the formative assessment indicator system based on priority-level analysis not only helps teachers more accurately understand students’ learning status and progress but also provides targeted learning suggestions and feedback to students, promoting their all-round development.
参考文献
|
[1]
|
丁婷, 龚祯, 朱辰杰. 数字经济背景下基于教育数据挖掘的大学生高质量就业培养路径研究[J]. 商业经济, 2025(2): 191-193.
|
|
[2]
|
孟凡, 海涛, 张瑞华, 等. 基于视觉联合学习的教育数据挖掘隐私保护技术[J]. 电子器件, 2023, 46(6): 1661-1672.
|
|
[3]
|
赵海霞. 基于数据挖掘的创新创业教育分层教学研究与实践[J]. 广东开放大学学报, 2024, 33(1): 12-18.
|
|
[4]
|
吴龙凯, 张珊, 刘姚慧卓, 等. 教育评价数据大脑的内涵、模型与路径[J]. 广西师范大学学报(哲学社会科学版), 2024, 60(6): 87-97.
|
|
[5]
|
牛义锋, 叶珺, 徐秀珍. 基于大数据画像的精准化课程思政实现路径研究[J]. 中国教育信息化, 2024, 30(11): 95-102.
|
|
[6]
|
高艺璐, 刘鸿雁, 姚明海, 等. 基于Stacking集成学习的学生成绩预测方法[J]. 电子设计工程, 2024, 32(24): 63-67.
|