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The Skilled, the Knowledgeable, and the Motivated: Investigating the Strategic Allocation of Time on Task in a Computer-Based Assessment

机译:技术,知识渊博,和动机:调查基于计算机的评估中任务的战略分配

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In large scale low stakes assessments, students usually choose their own speed at which to work on tasks. At the same time, previous research has shown that in hard tasks, the time students invest is a positive predictor of task performance. From this perspective, a relevant question is whether student dispositions other than the targeted skill might affect students’ time on task behavior, thus potentially affecting their task performance and in turn their estimated skill in the target domain. Using PISA 2009 computer based assessment data, the present research investigated for the domain of reading digital text whether three variables that can be assumed to predict performance in digital reading tasks, comprehension skill, enjoyment of reading, and knowledge of reading strategies would also predict how much time students would devote to digital reading tasks, and in particular, whether they would adapt time on task to task difficulty. To address this question, two linear mixed models were estimated that predicted the time students spent on a task, and the average time students spent on relevant pages within each task, by the interaction of task difficulty with comprehension skill, enjoyment of reading, and knowledge of reading strategies. To account for time on task being nested in students and tasks, random effects for persons and tasks were included. The interaction of task difficulty with gender and Socio-Economic Status (SES) was included for control purposes. Models were estimated individually for 19 countries, and results integrated meta-analytically. In line with predictions, for both time on task indicators, significant positive interactions were found with comprehension skill, enjoyment of reading, and knowledge of reading strategies. These interactions indicated that in students with high comprehension skill, enjoyment of reading, and knowledge of reading strategies there was a stronger association of task difficulty with time on task than in students low in either of these variables. Thus, skilled comprehenders, students enjoying reading, and students in command of reading strategies behaved more adaptively than lower skilled, motivated, or knowledgeable students. Implications of these findings for the validity of self-paced computer-based assessments are discussed.
机译:在大规模的低赌注评估中,学生通常会选择自己的速度,可以在任务上工作。与此同时,以前的研究表明,在艰难的任务中,学生投资的时间是任务表现的积极预测因素。从这个角度来看,有关问题是除了目标技能之外的学生置性是否可能会影响学生的任务行为的时间,从而可能影响他们的任务性能并反过来在目标域中的估计技能。使用PISA 2009基于计算机的评估数据,目前研究了对读数数字文本的领域进行了调查,是否可以假设在数字阅读任务中预测性能,理解技能,阅读读取以及阅读策略的知识也会预测如何预测如何大多数时间学生将投入数字阅读任务,特别是他们是否会适应任务时间到任务困难。为了解决这个问题,估计了两个线性混合模型,预测了学生在任务上花费的时间,以及在每个任务中的相关页面上花费的平均时间学生,通过识别技能,享受阅读和知识的互动。阅读策略。要考虑在学生和任务中嵌套的任务的时间,包括人员和任务的随机效应。为控制目的而列入了任务难度与性别和社会经济地位(SES)的互动。模型估计为19个国家,结果综合荟萃分析。符合预测,对于任务指标的时间,发现具有理解技能,阅读和阅读策略知识的显着正互动。这些互动表明,在具有高理解技能的学生,阅读竞争和阅读策略的知识,任务时间与任务时的任务困难具有更强的任务协会,而不是在这些变量中的任何一个中的学生。因此,熟练的理解者,享受阅读的学生,以及指挥阅读策略的学生表现得比较低技能,有动力或知识渊博的学生更自适应。讨论了这些调查结果对自节点基于计算机的评估有效性的影响。

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