Simulating the data investigative cycle in less than two hours: using a virtual human population, cloud collaboration and a statistical package to engage students in a quantitative research methods course

J. Baglin, J. Reece, M. Bulmer, M. Benedetto
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引用次数: 7

Abstract

Providing practical and relevant experience with the data investigative process is known to help engage students in quantitative research methods courses; however, limited student experience, time constraints, and ethical concerns present serious challenges to this goal. Recent advances in technology may provide innovative solutions. This paper reports on the development and implementation of a series of two-hour weekly computer laboratories that simulated the data investigative cycle in a research methods course for psychology students. The technologies included an online virtual human world, known as the Island, cloud collaboration technology and a statistical package. Each laboratory session aimed to engage students in all stages of the data investigative cycle, specifically: stating a problem, planning a study, gathering and analysing data and drawing conclusions. Student feedback from the sessions was overwhelming positive, which highlights the potential of combining innovative technologies to actively engage students in learning research methods and statistics.
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在不到两个小时内模拟数据调查周期:使用虚拟人口,云协作和统计软件包,让学生参与定量研究方法课程
提供数据调查过程的实践和相关经验,以帮助学生参与定量研究方法课程;然而,有限的学生经验、时间限制和伦理问题给这一目标带来了严峻的挑战。最近的技术进步可能提供创新的解决方案。本文报告了在心理学学生的研究方法课程中模拟数据调查周期的一系列每周两小时的计算机实验室的开发和实施。这些技术包括一个被称为“孤岛”的在线虚拟人类世界、云协作技术和一个统计软件包。每个实验课程旨在让学生参与数据调查周期的所有阶段,特别是:陈述问题,计划研究,收集和分析数据以及得出结论。学生对会议的反馈非常积极,这凸显了结合创新技术积极吸引学生学习研究方法和统计的潜力。
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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