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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:熟练,知识渊博和有动力的人:在基于计算机的评估中调查任务上的战略时间分配

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摘要

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:在大规模的低风险评估中,学生通常选择自己的速度来完成任务。同时,先前的研究表明,在艰苦的任务中,学生投入的时间是任务绩效的积极预测因素。从这个角度来看,一个相关的问题是,除目标技能以外的其他学生性格设置是否会影响学生在任务行为上的时间,从而潜在地影响他们的任务表现,进而影响他们在目标领域的估计技能。使用基于PISA 2009计算机的评估数据,本研究调查了阅读数字文本的领域是否可以假设三个变量来预测数字阅读任务的表现,理解能力,阅读乐趣和阅读策略知识是否也可以预测学生将花费大量时间专注于数字阅读任务,尤其是他们是否会根据任务难度调整工作时间。为了解决这个问题,估计了两个线性混合模型,这些模型通过任务难度与理解能力,阅读乐趣和知识的相互作用来预测学生在一项任务上花费的时间,以及每个任务在相关页面上花费的平均时间。阅读策略。为了解决嵌套在学生和任务中的任务时间,包括了人员和任务的随机效果。出于控制目的,还包括了任务难度与性别和社会经济地位(SES)的相互作用。对19个国家/地区的模型分别进行了估算,结果经过荟萃分析整合。与预期相一致,在任务指标上的时间上,发现他们在理解能力,阅读乐趣和阅读策略知识方面都存在显着的积极互动。这些相互作用表明,与那些变量都不高的学生相比,具有较高理解能力,阅读乐趣和阅读策略知识的学生与任务时间和任务时间的关联更强。因此,熟练的理解者,喜欢阅读的学生和掌握阅读策略的学生比低技能,有干劲或知识渊博的学生表现得更具适应性。讨论了这些发现对基于计算机的自定进度评估有效性的影响。

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