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使用主要特质分析量表评估学生对已发表的基础科学文献进行批判性评价的技能。

Assessment of student skills for critiquing published primary scientific literature using a primary trait analysis scale.

作者信息

Varela Manuel F, Lutnesky Marvin M F, Osgood Marcy P

机构信息

Biology Department, Eastern New Mexico University, Portales, New Mexico 88130 and.

出版信息

Microbiol Educ. 2005 May;6:20-7. doi: 10.1128/me.6.1.20-27.2005.

Abstract

Instructor evaluation of progressive student skills in the analysis of primary literature is critical for the development of these skills in young scientists. Students in a senior or graduate-level one-semester course in Immunology at a Masters-level comprehensive university were assessed for abilities (primary traits) to recognize and evaluate the following elements of a scientific paper: Hypothesis and Rationale, Significance, Methods, Results, Critical Thinking and Analysis, and Conclusions. We tested the hypotheses that average recognition scores vary among elements and that scores change with time differently by trait. Recognition scores (scaled 1 to 5), and differences in scores were analyzed using analysis of variance (ANOVA), regression, and analysis of covariance (ANCOVA) (n = 10 papers over 103 days). By multiple comparisons testing, we found that recognition scores statistically fell into two groups: high scores (for Hypothesis and Rationale, Significance, Methods, and Conclusions) and low scores (for Results and Critical Thinking and Analysis). Recognition scores only significantly changed with time (increased) for Hypothesis and Rationale and Results. ANCOVA showed that changes in recognition scores for these elements were not significantly different in slope (F1,16 = 0.254, P = 0.621) but the Results trait was significantly lower in elevation (F1,17 = 12.456, P = 0.003). Thus, students improved with similar trajectories, but starting and ending with lower Results scores. We conclude that students have greatest difficulty evaluating Results and critically evaluating scientific validity. Our findings show extant student skills, and the significant increase in some traits shows learning. This study demonstrates that students start with variable recognition skills and that student skills may be learned at differential rates. Faculty can use these findings or the primary trait analysis scoring scale to focus on specific paper elements for which they desire to improve recognition.

摘要

教师对学生分析原始文献的渐进技能进行评估,对于年轻科学家这些技能的发展至关重要。在一所硕士层次的综合性大学,对修读高级或研究生水平的一学期免疫学课程的学生,评估其识别和评估科学论文以下要素的能力(主要特征):假设与理论依据、意义、方法、结果、批判性思维与分析以及结论。我们检验了以下假设:各要素的平均识别分数存在差异,且分数随时间的变化因特征而异。使用方差分析(ANOVA)、回归分析和协方差分析(ANCOVA)(在103天内分析10篇论文,n = 10)分析识别分数(范围为1至5)及分数差异。通过多重比较检验,我们发现识别分数在统计学上分为两组:高分(针对假设与理论依据、意义、方法和结论)和低分(针对结果以及批判性思维与分析)。仅假设与理论依据和结果的识别分数随时间显著变化(增加)。ANCOVA表明,这些要素识别分数的变化在斜率上无显著差异(F1,16 = 0.254,P = 0.621),但结果特征在高度上显著较低(F1,17 = 12.456,P = 0.003)。因此,学生以相似的轨迹取得进步,但结果分数的起始和结束值较低。我们得出结论,学生在评估结果和批判性评估科学有效性方面困难最大。我们的研究结果显示了学生现有的技能,某些特征的显著提高表明了学习效果。本研究表明,学生开始时的识别技能各不相同,且学生技能的学习速度可能存在差异。教师可利用这些研究结果或主要特征分析评分量表,专注于他们希望提高识别能力的特定论文要素。

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