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Understanding of mathematics and science: efficient models for student assessments

机译:理解数学和科学:学生评估的有效模型

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Student self-reports provide information that is invaluable in assessing student backgrounds and achievements. These critical student inputs can be used to help place students in beginning courses; to identify high-risk and honors students; to evaluate the quality of courses, services, and resources; to initiate and evaluate existing and new programs; and to help students make career decisions. Faculty members can also use self-reports to efficiently examine student perceptions of their understanding of key content at the beginning and end of the courses for which they are responsible. This paper uses as a model: self-reports of first-year engineering students using the Mathematics Science Inventory (MSI). The MSI is used in placing students in beginning mathematics and chemistry courses and to evaluate their perceptions of their understanding of the key content of these courses. Significant, but differential self-reported gains in mathematics and chemistry knowledge are reported in twelve different math and chemistry courses, completed by 1995 and 1996 beginning engineering students. Complex, but generally positive, relationships are observed between course grades and pre-test and post-test self-reports of understanding of math and science content.
机译:学生自我报告提供的信息对于评估学生的背景和成就非常宝贵。这些重要的学生投入可以用来帮助学生上入门课程。识别高风险和荣誉学生;评估课程,服务和资源的质量;发起和评估现有和新计划;并帮助学生做出职业决策。教师还可以使用自我报告来有效地检查学生在他们负责的课程的开始和结束时对关键内容的理解的看法。本文使用以下模型作为模型:使用数学科学库存(MSI)的一年级工程专业学生的自我报告。 MSI用于将学生安排在数学和化学入门课程中,并评估他们对这些课程关键内容的理解。在12种不同的数学和化学课程中报告了数学和化学知识的显着但有差异的自我报告的收获,这些课程分别于1995年和1996年完成,面向工程专业的学生。在课程成绩与对数学和科学内容的理解的测试前和测试后自我报告之间观察到复杂但通常是积极的关系。

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