评估基于过程数据的考试动机及其对学业成绩的影响
Jimei Ding1, Ting Li2, Yuan Liu3
1Faculty of Psychology, Southwest University, Chongqing, China.
Acta psychologica
|September 16, 2025
概括
一个新的行为力度测量,来自过程数据,有效地评估学生的考试动机 (TTM). 这种新的方法与传统的测量方法相对应,并比现有方法更好地预测学术成绩.
科学领域:
- 教育心理学教育心理学
- 评估和测量的评估和测量
- 学习科学 学习科学
背景情况:
- 了解学生考试动机 (TTM) 在大规模评估中至关重要.
- 传统的措施,如自我报告的努力和响应时间的努力 (RTE) 有局限性.
- 现有的方法在测试过程中经常无法捕捉TTM的情境影响.
研究的目的:
- 引入和验证一种用于评估TTM的行为努力的新概念.
- 解决传统的TTM措施的局限性.
- 评估行为努力对学业成绩的预测有效性.
主要方法:
- 利用了来自国际学生评估计划 (PISA) 2018年的流程数据 (N=2853).
- 从学生互动数据开发了一个"行为努力"指标.
- 对自我报告的措施和RTE进行验证的行为努力.
- 采用多层次分析来预测学业成绩.
主要成果:
- 行为努力与传统的TTM措施 (自我报告和RTE) 显示出强烈的正相关性.
- 行为努力显著预测了学业成绩.
- 行为努力对绩效的影响大小超过了传统措施.
结论:
- 从流程数据中提取的行为努力,为评估TTM提供了一个强大而有效的方法.
- 这种新指标比传统方法更有效地预测学术成绩.
- 这些发现强调了流程数据在理解学生动机和成绩方面的有用性.
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