Measuring students’ statistical reasoning abilities using flipped classroom model with SPSS and STATCAL

R. Ramadhani, Brian R. Evans
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引用次数: 1

Abstract

The development of Technology, Information and Communication (ICT) in education has been growing considerably. Use of technologies contribute to supporting student learning and play a vital role in the learning process. The Covid-19 pandemic, since early 2020, has impacted the implementation of the learning process, especially in higher education. The learning instruction has shifted from face-to-face to online learning (e-learning). It is undeniable that the learning process experiences disruptions, resulting in significant changes in the learning environment. Thus, the flipped classroom model is likely to be on model for educators in higher education. This study aims to investigate an increase in the statistical reasoning abilities of engineering students taught using the flipped classroom model assisted by SPSS and STATCAL applications analyzed based on gender. Participants involved 55 first-year informatics engineering students. Data were collected using a test in the form of essay questions and then analyzed using the stacking method of the Rasch measurement model. The results showed that the statistical reasoning abilities of students improved after being taught using the flipped classroom model with the SPSS and STATCAL applications. This finding implies that the flipped classroom model assisted by SPSS and STATCAL applications is effectively implemented in technology-integrated statistics learning.
运用SPSS和STATCAL软件,运用翻转课堂模型测量学生的统计推理能力
技术、信息和通信(ICT)在教育中的发展一直在显著增长。技术的使用有助于支持学生的学习,并在学习过程中发挥至关重要的作用。自2020年初以来,2019冠状病毒病大流行影响了学习过程的实施,特别是在高等教育中。不可否认的是,学习过程经历了中断,导致学习环境发生了重大变化。因此,翻转课堂模式很可能成为高等教育教育工作者的一种模式。本研究旨在探讨运用基于性别分析的SPSS和STATCAL软件辅助的翻转课堂教学模式对工科学生统计推理能力的提高。参与者包括55名一年级信息工程专业的学生。采用问答形式的测验收集数据,采用Rasch测量模型的叠加法进行分析。结果表明,在运用SPSS和STATCAL软件进行翻转课堂教学后,学生的统计推理能力有所提高。这一发现表明,在SPSS和STATCAL应用程序的辅助下,翻转课堂模式在技术集成统计学习中得到了有效的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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