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Students' Evaluation of Teaching, Approaches to Learning, and Academic Achievement

机译:学生对教学的评价,学习方法和学业成绩

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Students' evaluation and perception of the learning environment are considered to be important predictors of students' approaches to learning. These variables may also account for variance in academic outcome, such as in examination grades, but previous research has rarely included a comparison between all of these variables. This article investigates the factor structure of an inventory measuring evaluation-perception of the learning environment. These factors were compared with scores on the Approaches and Study Skills Inventory for Students, and with the examination grades of 248 undergraduate psychology students. Exploratory factor analysis produced a measurement model comprising five evaluation-perception factors (workload, presentation, perspective-integration, lecturer, and effect). Structural equation modelling gave moderate supported to a model in which evaluation-perception predicted students' approaches to learning, which subsequently predicted examination grades. Hence, evaluation-perception affected examination grades indirectly, via “approaches to learning”. Additionally, the factor “workload-demands” contributed independently, as a predictor of examination grades, together with “surface” and “strategic” approaches to learning. These results, finally, gave a basis for recommendations for curriculum design and lecturing.
机译:学生对学习环境的评价和看法被认为是学生学习方法的重要预测指标。这些变量也可以解释学术成果(例如考试成绩)的差异,但是以前的研究很少包括所有这些变量之间的比较。本文研究了学习环境的库存测量评估-感知的因素结构。将这些因素与学生的“方法和学习技能清单”中的分数以及248名心理学专业的学生的考试成绩进行了比较。探索性因素分析产生了一个包括五个评估-感知因素(工作量,演示,视角整合,讲师和效果)的测量模型。结构方程模型为模型提供了适度的支持,其中评估感知预测学生的学习方法,随后预测考试成绩。因此,评估知觉通过“学习方式”间接影响考试成绩。此外,“工作量需求”因素与考试的“表面”和“战略”方法一起独立地作为考试成绩的预测指标。最后,这些结果为课程设计和讲授的建议提供了基础。

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