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2
Active learning improves on-task behaviors in 4th grade children.主动学习能提高四年级学生的课堂参与度。
Prev Med. 2018 Jun;111:49-54. doi: 10.1016/j.ypmed.2018.02.023. Epub 2018 Feb 21.
3
Overweight and Cognitive Performance: High Body Mass Index Is Associated with Impairment in Reactive Control during Task Switching.超重与认知表现:高体重指数与任务切换过程中的反应控制受损有关。
Front Nutr. 2017 Oct 31;4:51. doi: 10.3389/fnut.2017.00051. eCollection 2017.
4
A cluster randomized control trial to assess the impact of active learning on child activity, attention control, and academic outcomes: The Texas I-CAN trial.一项评估主动学习对儿童活动、注意力控制和学业成绩影响的整群随机对照试验:德克萨斯州“我能行”试验。
Contemp Clin Trials. 2017 Oct;61:81-86. doi: 10.1016/j.cct.2017.07.023. Epub 2017 Jul 22.
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Adolescent Changes in Aerobic Fitness Are Related to Changes in Academic Achievement.青少年有氧适能的变化与学业成绩的变化有关。
Pediatr Exerc Sci. 2018 Feb 1;30(1):106-114. doi: 10.1123/pes.2015-0225. Epub 2017 Oct 10.
6
Physically active vs. sedentary academic lessons: A dose response study for elementary student time on task.体育活动与久坐不动的学术课程:一项关于小学生任务执行时间的剂量反应研究。
Prev Med. 2016 Aug;89:98-103. doi: 10.1016/j.ypmed.2016.05.021. Epub 2016 May 25.
7
Tracking the relationship between children's aerobic fitness and cognitive control.追踪儿童有氧适能与认知控制之间的关系。
Health Psychol. 2016 Sep;35(9):967-78. doi: 10.1037/hea0000343. Epub 2016 Apr 18.
8
Inattention Symptoms Are Associated With Academic Achievement Mostly Through Variance Shared With Intrinsic Motivation and Behavioral Engagement.注意力不集中症状与学业成绩的关联主要通过与内在动机和行为投入相关的方差来体现。
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9
Evidence-based psychosocial treatments for children and adolescents with attention-deficit/hyperactivity disorder.针对注意缺陷多动障碍儿童和青少年的循证心理社会治疗。
J Clin Child Adolesc Psychol. 2014;43(4):527-51. doi: 10.1080/15374416.2013.850700. Epub 2013 Nov 18.
10
The assessment of school engagement: examining dimensionality and measurement invariance by gender and race/ethnicity.学校参与度评估:考察性别和种族/族裔的维度和测量不变性。
J Sch Psychol. 2011 Aug;49(4):465-80. doi: 10.1016/j.jsp.2011.04.001. Epub 2011 Apr 21.

任务相关行为的预测因素:评估学生层面的特征。

Predictors of on-task Behaviors: Evaluating Student-level Characteristics.

作者信息

Golaszewski Natalie M, Bartholomew John B, Errisuriz Vanessa L, Korinek Elizabeth, Jowers Esbelle

机构信息

University of California, San Diego, La Jolla, CA, United States.

The University of Texas at Austin, Austin, TX, United States.

出版信息

Health Behav Policy Rev. 2021 Mar;8(2):159-167. doi: 10.14485/hbpr.8.2.6.

DOI:10.14485/hbpr.8.2.6
PMID:34734099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8562880/
Abstract

OBJECTIVE

In this study, we examined students' fitness, body mass index (BMI), and demographics as predictors of observed time on-task (TOT) behaviors as an indicator of behavioral inattention.

METHODS

We collected demographics, fitness estimates, and BMI from 2020 fourth-graders (Mean age = 8.6 (SD = 0.5); 47% girls; 49% white) from 28 schools. We measured TOT through momentary time sampling observations. Three-level linear models were conducted to determine whether characteristics predicted differences in TOT. We tested interactions between characteristics and TOT.

RESULTS

Older students exhibited greater percent of TOT (estimate = 2.34, SE = 1.02, df = 919, t = 2.30, p < .05). Additionally, boys spent less percent TOT (estimate = -3.59, SE = 1.03, df = 906, t = -3.49, p < .05). There were no differences by race/ethnicity, SES, BMI, fitness, or time of day and percent TOT. Furthermore, none of the interactions were statistically significant (p > .15).

CONCLUSIONS

Girls and older students spent more TOT. These findings are of interest to educators and psychologists working on the development of research-based guidelines aimed to support elementary students' engagement in the classroom.

摘要

目的

在本研究中,我们考察了学生的健康状况、体重指数(BMI)和人口统计学特征,将其作为观察到的任务执行时间(TOT)行为的预测因素,以此作为行为注意力不集中的一个指标。

方法

我们从28所学校的2020名四年级学生(平均年龄 = 8.6(标准差 = 0.5);47%为女生;49%为白人)中收集了人口统计学特征、健康状况评估和BMI数据。我们通过瞬间时间抽样观察来测量任务执行时间。进行了三级线性模型分析,以确定这些特征是否能预测任务执行时间的差异。我们还测试了特征与任务执行时间之间的相互作用。

结果

年龄较大的学生表现出更高的任务执行时间百分比(估计值 = 2.34,标准误 = 1.02,自由度 = 919,t = 2.30,p <.05)。此外,男生的任务执行时间百分比更低(估计值 = -3.59,标准误 = 1.03,自由度 = 906,t = -3.49,p <.05)。在种族/民族、社会经济地位、BMI、健康状况、一天中的时间以及任务执行时间百分比方面没有差异。此外,所有的相互作用均无统计学意义(p >.15)。

结论

女生和年龄较大的学生花费的任务执行时间更多。这些发现对于致力于制定基于研究的指导方针以支持小学生课堂参与度的教育工作者和心理学家来说具有参考价值。