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A latent profile analysis of student restudy decisions
Metacognition and Learning ( IF 2.704 ) Pub Date : 2020-02-01 , DOI: 10.1007/s11409-020-09219-7
Alison Robey

Do all learners make the same restudy decisions, or is there heterogeneity within the population? The present study combines three previously published datasets and uses latent profile analysis to determine if subpopulations of learners can be identified that make different restudy decisions. Based on multiple fit indices, cross-validation, and theoretical consideration, a 4-cluster model was selected. Two clusters of learners differentiate items based on their current knowledge focusing on either known or unknown items for restudy, whereas two clusters do not distinguish between known and unknown items and instead choose to restudy almost all or almost known of the items, regardless of whether they were retrieved correctly. Additional auxiliary variable analyses revealed that learners who chose to focus their restudy on unknown information make more accurate restudy decisions than the other clusters. Implications for future exploration of student restudy decisions and the need to explore heterogeneity are discussed.

中文翻译:

学生再学习决定的潜在特征分析

是否所有学习者都做出相同的重新学习决定,或者总体内部存在异质性?本研究结合了三个先前发布的数据集,并使用了潜在特征分析来确定是否可以识别出学习者的亚群,从而做出不同的重新研究决策。基于多个拟合指标,交叉验证和理论考虑,选择了一个4聚类模型。两个聚类的学习者根据他们当前的知识来区分项目,重点是对已知或未知项目进行重新研究,而两个聚类不区分已知和未知项目,而是选择对几乎所有或几乎已知的项目进行重新研究,无论他们是否被正确检索。附加的辅助变量分析表明,选择将重读重点放在未知信息上的学习者比其他聚类做出更准确的重读决定。讨论了对未来学生再学习决定的探索以及探索异质性的必要性。
更新日期:2020-02-01
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