Reflexiones sobre el uso de la estadística inferencial en investigación didáctica

IF 0.1 Q4 EDUCATION & EDUCATIONAL RESEARCH InterCambios Dilemas y Transiciones de la Educacion Superior Pub Date : 2020-10-01 DOI:10.2916/INTER.7.2.10
Nicolás Veiga, L. Otero, J. Torres
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Abstract

As a product of educational research activities, a large amount of data is produced, the analysis of which represents a challenge for the researchers. In this context, the large number of interrelated factors that may have an impact on the data makes it extremely difficult to draw reliable conclusions, either when describing or predicting the behavior of a student population, or when evidencing the effect of didactic interventions. Statistical inferential analysis provides tools that allow the systematic and efficient evaluation of a sample of the population to be studied. In this work we present a reflection on the implementation and interpretation of results associated with the application of three inferential instruments (probability distribution, confidence interval and hypothesis test) to a case study derived from our teaching experience. These instruments allowed us to evaluate the influence that the course modality (face-to-face or online) exerts on the academic performance of first-year students of Facultad de Quimica, Universidad de la Republica. In addition, these statistical tools were also applied to the study of the incidence, on the same population, of a didactic intervention in which a set of materials was incorporated into a massive first-year chemistry course (General Chemistry I), with the aim of promoting active learning and self-regulation. In this regard, inferential statistics allowed the systematic and efficient analysis of the information associated with this case study, allowing to draw statistically significant conclusions.
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关于在教学研究中使用推理统计的思考
作为教育研究活动的产物,产生了大量的数据,对这些数据的分析对研究人员来说是一个挑战。在这种情况下,大量相互关联的因素可能会对数据产生影响,这使得无论是在描述或预测学生群体的行为时,还是在证明教学干预的效果时,都很难得出可靠的结论。统计推断分析提供了一种工具,可以对所研究的人口样本进行系统和有效的评估。在这项工作中,我们对与应用三种推理工具(概率分布、置信区间和假设检验)相关的结果的实施和解释进行了反思,并将其应用于一个源自我们教学经验的案例研究。这些工具使我们能够评估课程模式(面对面或在线)对共和国大学Quimica学院一年级学生学习成绩的影响。此外,这些统计工具还应用于研究同一人群的教学干预的发生率,其中一套材料被纳入大规模的一年级化学课程(普通化学I),目的是促进主动学习和自我调节。在这方面,推理统计允许系统和有效地分析与本案例研究相关的信息,从而得出统计上有意义的结论。
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