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Assessing Student Learning: A Comparison of Existing Methods for Evaluating the Learning Gain of Students.

机译:评估学生的学习:现有的评估学生学习收益的方法的比较。

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摘要

Evaluating the learning gain of students is a key metric for the Teaching Excellence Framework, for which there are different existing approaches (McGrath et al 2015). Student expectations of their own personal learning are driven by the on-going marketisation of Higher Education. The mission for learning excellence is to determine the scope of the environmental drivers required to achieve a local response at student level. How progress towards this goal is monitored is therefore likely to become an important future indicator of institutional performance. Measuring learning gain based upon grades is an objective method, however with most students obtaining a university undergraduate degree at levels 2:1 or 2:2, differentiation is limited. Examples of this approach include the Grade Point Average method and the Predicted Pass approach. Students can undertake standardised tests at controlled points throughout their university education. Such tests can be generic (using psychometric measures) or discipline based (making them subject specific). In both cases, these tests are even more objective and have greater validity when compared to other measures. Discipline based tests themselves are more accurate when compared to generalised tests. However, it remains difficult to compare disciplines together when the tests undertaken are bespoke. Students can self-report their own learning using a portfolio or survey approach and these are subjective methods. In other cases, evaluation of learning and development is achieved using UK-wide surveys such as the National Student Survey (NSS) which only includes a few relevant questions. Surveys are vulnerable to mis-representation, and so an alternative approach is to undertake a skills audit, but again the information derived is subjective and open to influence. This research reports on a comparative study that considers the advantages and disadvantages of each of these key approaches for the assessment of student learning. McGrath, C.H., Guerin, B., Harte, E., Frearson, M. & Manville, C., 2015. HEFCE report - Learning gain in Higher Education. Santa Monica, CA: RAND Corporation.
机译:评估学生的学习收益是“卓越教学框架”的关键指标,针对该框架存在多种不同的现有方法(McGrath等,2015)。高等教育的持续市场化推动了学生对自己的个人学习的期望。追求卓越学习的使命是确定在学生层面实现本地响应所需的环境驱动因素的范围。因此,如何监测实现这一目标的进展可能会成为将来机构绩效的重要指标。基于成绩衡量学习增益是一种客观的方法,但是,对于大多数学生而言,以2:1或2:2的水平获得大学本科学位的情况下,差异是有限的。此方法的示例包括“平均绩点”方法和“预测通过”方法。在整个大学教育期间,学生可以在受控点进行标准化考试。这样的测试可以是通用的(使用心理测量方法),也可以是基于学科的(使其成为特定主题)。在这两种情况下,与其他措施相比,这些测试都更加客观并且具有更高的有效性。与广义测试相比,基于学科的测试本身更加准确。但是,在定制测试时,很难将各个学科进行比较。学生可以使用档案袋或调查方法自我报告自己的学习情况,这些都是主观的方法。在其他情况下,可以使用英国范围内的调查(例如仅包括一些相关问题的全国学生调查(NSS))对学习和发展进行评估。调查很容易出现虚假陈述,因此另一种方法是进行技能审核,但是再次得出的信息是主观的并且可以影响。这项研究报告了一项比较研究,该研究考虑了评估学生学习的每种关键方法的优缺点。 McGrath,C.H.,Guerin,B.,Harte,E.,Frearson,M.&Manville,C.,2015年。HEFCE报告-高等教育中的学习收获。加利福尼亚州圣莫尼卡:兰德公司。

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