时态教育研究中研究问题、分析技术和学习洞察力的关联

IF 2.9 Q1 EDUCATION & EDUCATIONAL RESEARCH
Sina Nazeri, M. Hatala, Carman Neustaedter
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引用次数: 0

摘要

学习本质上具有时间特征,这意味着它是随着时间的推移而发生的。对学习的时间方面的研究面临着几个挑战,其中之一是利用适当的分析技术来利用时间数据。没有连贯的指南来选择某些时间技术,以导致真实揭示潜在现象的结果。为了填补这一空白,这项系统的映射研究有助于理解时间教育研究领域工作中的问题类型和方法。本研究旨在分析已发表研究的不同组成部分,并探索明确考虑时间方面的教育研究的当前趋势。使用主题编码方法,我们确定了三个组成部分的趋势,包括提出的研究问题、使用的方法论技术和推断的学习洞察力。关于研究问题的代码分布表明,关注方法开发或提出方法框架的研究数量最多。我们讨论了方法论的发展和基本理论,从而确定了学习指标,这些指标可以提供识别学生个人兴趣学习概念的能力。就所使用的技术而言,可视化分析和过程挖掘有着强烈的趋势。这项研究发现,要发现对学习的洞察力,利用可解释的技术来表征时间模式是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations of Research Questions, Analytical Techniques, and Learning Insight in Temporal Educational Research
Learning has a temporal characteristic in nature, which means that it occurs over the passage of time. The research on the temporal aspects of learning faces several challenges, one of which is utilizing appropriate analytical techniques to exploit the temporal data. There is no coherent guide to selecting certain temporal techniques to lead to results that truthfully uncover underlying phenomena. To fill this gap, this systematic mapping study contributes to understanding the type of questions and approaches in works in the area of temporal educational research. This study aims to analyze different components of published research and explores the current trends in educational studies that explicitly consider the temporal aspect. Using the thematic coding method, we identified trends in three components, including asked research questions, utilized methodological techniques, and inferred insight about learning. The distribution of codes regarding asked research questions showed that the highest number of studies focused on method development or proposing a methodological framework. We discussed that methodological development, with the underlying theory, led to identifying learning indicators that can provide the ability to identify individual students with respect to the learning concepts of interest. In terms of utilized techniques, there was a strong trend in visualization analysis and process mining. This study found that to discover insight into learning, it is important to utilize techniques that are interpretable to characterize temporal patterns.
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来源期刊
Journal of Learning Analytics
Journal of Learning Analytics Social Sciences-Education
CiteScore
7.40
自引率
5.10%
发文量
25
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