Mapping Background Variables With Sequential Patterns in Problem-Solving Environments: An Investigation of United States Adults’ Employment Status in PIAAC

Mapping Background Variables With Sequential Patterns in Problem-Solving Environments: An Investigation of United States Adults’ Employment Status in PIAAC
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DOI:
10.3389/fpsyg.2019.00646
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发表时间:
2019-03
影响因子:
3.8
通讯作者:
Dandan Liao;Qiwei He;Hong Jiao
Dandan Liao;Qiwei He;Hong Jiao
中科院分区:
心理学3区
文献类型:
--
作者:
Dandan Liao;Qiwei He;Hong Jiao

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成人评估不断发展,以跟上成人识字和学习需求不断变化的性质。随着信息和通信技术(ICT)的重要性不断增长,ICT扫盲技能,数字阅读和技术丰富的环境中解决问题(PSTRE)的措施是越来越重要的主题,通过基于计算机的评估(CBA)的探索。本研究使用的过程数据收集的日志文件和调查数据的国际成人竞争力评估计划(PIAAC),重点是美国的样本,以(a)确定就业相关的背景变量,显着相关的PSTRE技能和解决问题的行为,(B)提取强大的行动序列的子组分类的显着变量。我们分两个阶段进行这项研究。首先,我们使用回归分析来选择背景变量,显着预测一般PSTRE,识字,算术技能,以及响应时间和正确性的例子项目。其次,我们确定了不同的子组使用卡方特征选择模型来探索这些序列和区分子组的典型动作序列。本研究的目的是基于问题解决能力的可塑性因素,为提高目标群体的成人教育能力提供信息。
Adult assessments have evolved to keep pace with the changing nature of adult literacy and learning demands. As the importance of information and communication technologies (ICT) continues to grow, measures of ICT literacy skills, digital reading, and problem-solving in technology-rich environments (PSTRE) are increasingly important topics for exploration through computer-based assessment (CBA). This study used process data collected in log files and survey data from the Programme for the International Assessment of Adult Competencies (PIAAC), with a focus on the United States sample, to (a) identify employment-related background variables that significantly related to PSTRE skills and problem-solving behaviors, and (b) extract robust sequences of actions by subgroups categorized by significant variables. We conducted this study in two phases. First, we used regression analyses to select background variables that significantly predict the general PSTRE, literacy, and numeracy skills, as well as the response time and correctness in the example item. Second, we identified typical action sequences by different subgroups using the chi-square feature selection model to explore these sequences and differentiate the subgroups. Based on the malleable factors associated with problem-solving skills, the goal of this study is to provide information for improving competences in adult education for targeted groups.