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Predicting Math Achievement Using the SMALSI as a Measure of Motivation and Learning and Study Strategy Use

机译:使用SMALSI预测数学成绩,以此作为动机和学习策略的度量

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摘要

The purpose of this study was to evaluate the School Motivation and Learning Strategies Inventory (SMALSI) and the AIMSweb Math Winter Benchmarks to determine if they could be used by school personnel to identify students at-risk of low performance in mathematics. Previous research shows strategy use enhances math achievement and math fluency predicts math achievement. It was thought that if scores on the SMALSI and AIMSweb Math Winter Benchmarks were found to correlate to scores on the math subtests of the Woodcock-Johnson Tests of Achievement (WJ-III) and the TAKS Math Test, then this would provide evidence for using the SMALSI and AIMSweb Benchmarks for identifying students at-risk of learning problems in mathematics. Participants (n = 176) completed the AIMSweb Math Winter Benchmarks, the SMALSI, the math subtests of the WJ-III, and the TAKS Math Test.None of the scales of the SMALSI were statistically significant predictors of the variance in performance on the WJ-III when used individually. The Writing/Research Skills scale explained the most variance as an individual predictor. When all nine scales were used as predictors, they explained a statistically significant portion of the variance on the WJ-III, with the Reading/Comprehension Strategies scale being the most significant predictor. The level of learning and study strategy use predicted more of the variance in performance on the WJ-III for students in Fifth Grade than for students in Third and Fourth Grade, even though the level of strategy use remained the same across the three grade levels. In general, females reported using more learning and study strategies and more anxiety during test-taking situations while males reported lower academic motivation and more attention/concentration difficulties. Finally, the AIMSweb Math Winter Benchmarks explained a statistically significant portion of the variance in performance on the WJ-III and the TAKS Math Test. Based on these results, the SMALSI would be a useful screening tool for identifying students who require explicit instruction of learning and study strategies designed to enhance math achievement, and the AIMSweb Math Winter Benchmarks would be a useful screening tool for identifying students at-risk of academic difficulties in mathematics.
机译:这项研究的目的是评估学校动机和学习策略清单(SMALSI)和AIMSweb数学冬季基准,以确定学校人员是否可以使用它们来识别学生在数学中表现低下的危险。先前的研究表明,使用策略可以提高数学成绩,而数学流利性可以预测数学成绩。人们认为,如果发现SMALSI和AIMSweb Math Winter Benchmarks的分数与Woodcock-Johnson成绩测验(WJ-III)和TAKS Math Test的数学子测验的分数相关,那么这将为使用SMALSI和AIMSweb基准,用于识别学生面临数学学习问题的风险。参与者(n = 176)完成了AIMSweb Math冬季基准测试,SMALSI,WJ-III的数学子测验和TAKS Math测验。SMALSI的所有量表均无统计学意义,可预测WJ的性能差异-III单独使用时。写作/研究技能量表将个体差异解释为最多。当所有九个量表都用作预测因子时,他们解释了WJ-III上统计学上显着的方差,其中阅读/理解策略量表是最重要的预测因子。学习和学习策略的使用水平预测,五年级的学生在WJ-III上的表现差异要大于三年级和四年级的学生,尽管策略使用水平在三个年级水平上均保持不变。一般而言,女性报告在参加考试时使用更多的学习和学习策略以及更多的焦虑,而男性报告的学习动机较低,注意力/注意力集中困难更大。最后,AIMSweb Math Winter Benchmarks解释了WJ-III和TAKS Math Test的性能差异的统计学显着部分。基于这些结果,SMALSI将是一个有用的筛选工具,用于识别需要明确指导学习和学习策略以提高数学成绩的学生,而AIMSweb Math Winter Benchmarks将是一个有用的筛选工具,用于识别有学习风险的学生。数学方面的学术困难。

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    Kahn David Andrew;

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  • 年度 2011
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