匿名对学士学位课程教学和课程质量学生评分的影响。

GMS Zeitschrift fur Medizinische Ausbildung Pub Date : 2013-08-15 eCollection Date: 2013-01-01 DOI:10.3205/zma000875
Theresa Scherer, Jan Straub, Daniel Schnyder, Noemi Schaffner
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引用次数: 1

摘要

研究问题:匿名学生评价和个性化学生评价教学质量的结果有明显区别吗?方法:在为期两年的时间里,学生被随机分为“匿名”和“个性化”两组,进行模块结束评估。使用标准化问卷对模块的质量进行评估。此外,如果学生们想强调某些细节,他们可以选择添加“进一步评论”。这些可选的评论由三个人独立评估,使用五维评级工具:积极/消极;分化/绝对;点名某人/将军;包含秩序/中性的;视觉上强调/空白。数据库包括615份评估表格,其中306份是匿名填写的。为了确定匿名和个性化数据之间是否存在任何差异,进行了多变量方差分析。根据该量表,对问题的答案和评论的质量进行评估。此外,还进行了一项评估,以确定两组可选评论的数量是否有任何差异。结果:在匿名和个性化学生评估之间,数据的信息质量没有显著差异。然而,个性化小组的学生倾向于在书面答案中包含更多细节。结论:只要评价理念是一个封闭的循环过程并且是透明的,个性化评价就不会在社会可取性方面产生更多的偏见结果。换句话说,将评估结果反馈给学生是非常必要的。此外,学生必须有机会在一个开放的环境中讨论任何进一步的建议和/或未来的愿望。通过这种方式,学生们尊重并理解他们的反馈是认真对待的;因此,他们觉得能够提供建设性和诚实的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The effects of anonymity on student ratings of teaching and course quality in a bachelor degree programme.

The effects of anonymity on student ratings of teaching and course quality in a bachelor degree programme.

The effects of anonymity on student ratings of teaching and course quality in a bachelor degree programme.

The effects of anonymity on student ratings of teaching and course quality in a bachelor degree programme.

Research question: Are there any clear differences between the outcomes of anonymous and personalised student evaluations of teaching quality?

Methods: During a two-year period students were randomly divided into two separate groups, "anonymous" and "personalised", for end-of-module evaluations. The quality of the module was assessed using a standardised questionnaire. Additionally, students were given the option to add "further comments" if they wanted to highlight specifics. These optional comments were independently assessed by three people, using a five-dimensional rating instrument: positive/negative; differentiated/absolute; naming a person/general; containing an order/neutral; visually accentuated/blank. The database consisted of 615 evaluation forms, of which 306 were completed anonymously. In order to identify whether there were any differences between the anonymous and personalised data, a multivariate variance analysis was performed. Based on the scale, the answers to the questions and the quality of the comments were evaluated. Furthermore, an assessment was made to determine if there were any differences in the number of optional comments between the two groups.

Results: No significant differences were identified in the informative quality of data between the anonymous and personalised student evaluations. However, students in the personalised group had a tendency to include more details in their written answers.

Conclusion: Personalised evaluations do not generate more biased results in terms of social desirability, as long as the evaluation concept is characterised by a closed-circle process and is transparent. In other words, it is imperative that the outcomes of the evaluation are reported back to the students. Moreover, there has to be an opportunity for students to discuss any further suggestions and/or future desires in an open environment. In this way the students respect and understand that their feedback is being taken seriously; consequently, they feel able to provide a constructive and honest evaluation.

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