基于潜在轮廓分析的中学生科学学科学习成绩表征

Heekyoung Kim, Hyekyung Jung
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摘要

本研究探索了一种基于认知诊断模型(CDM)的方法,增强教育评估结果作为教育反馈信息的功能,使教育决策者和教师更容易获得评估结果。利用美国国家教育成就评估(NAEA)的二手数据,基于科学学科8个详细学习领域的掌握概率估计,应用潜在剖面分析,得出5个潜在群体。其中,潜伏组1在8个领域均表现出优异的成绩。潜在组2被命名为“需要培养科学交流的群体”,因为他们对详细学习领域8(基于证据的论证)缺乏理解。潜组3被命名为“一个需要培养科学思维的群体”,因为这个群体特别需要培养科学思维技能,比如“解释与科学探究和解决问题相关的现象”。潜在4组在“一般数据分析和解释”方面表现出较高的能力,而在“科学知识和理解”方面表现出较低的能力。“最后一个潜在组在所有八个细节学习领域的表现都很低。通过与NAEA潜在群体成员和成就水平的交叉表列,发现通过潜在群体分类可以掌握更详细和有用的成就特征信息,特别是对于NAEA“中级”和“基本”成就水平的学生。
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Characterizing the Academic Achievement of Middle School Students in Science Subject based on Latent Profile Analysis
This study explored an approach to enhance the function of educational assessment results as educational feedback information so that educational policy makers and teachers have more accessibility with the assessment results based on the cognitive diagnosis model (CDM). Using secondary data of the National Assessment of Educational Achievement (NAEA), the latent profile analysis was applied based on the estimated probabilities of mastery in eight detailed learning areas of science subject, and as a result, five latent groups were derived. In detail, latent group 1 showed excellent achievement in all eight areas. Latent group 2 was named as ‘a group needed to cultivate scientific communication’ due to their lack of understanding in the detailed learning area 8 (Making argument based on evidence). Latent group 3 was named as ‘a group needed to cultivate scientific thinking’, because this group particularly needs to foster scientific thinking skills, such as ‘explaining phenomena related to scientific inquiry and problem solving.’ Latent group 4 showed relatively high capacity in ‘general data analysis and interpretation’ while had low ability in ‘scientific knowledge and understanding.’ The last latent group showed the low performance level on all eight detailed learning areas. Given the cross-tabulation with the latent group membership and achievemnet levels of NAEA, It was found that more detailed and useful achievement characteristics information could be grasped through the potential group classification, particularly for students in ‘intermediate’ or ‘basic’ achievement levels in NAEA.
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