Evaluating technology enhanced learning by using single-case experimental design: A systematic review

IF 6.7 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Nadira Dayo, Sameh Said Metwaly, Wim Van Den Noortgate
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引用次数: 0

Abstract

Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The results showed that most of the studies were conducted in the field of special education focusing on evaluating the effectiveness of computer-assisted instructions, video prompts and mobile devices to improve language and communication, socio-emotional, skills and mental health. The research objective of most studies was to evaluate the effects of the intervention; often no specific justification for using SCED was provided. Additionally, multiple baseline and phase designs were the most common SCED types, with most measurements in the intervention phase. Frequent data collection methods were observation, tests, questionnaires and task analysis, whereas, visual and descriptive analysis were common methods for data analysis. Nearly half of the studies did not acknowledge any limitations, while a few mentioned generalization and small sample size as limitations. The review provides valuable insights into utilizing SCEDs to advance TEL evaluation methodology and concludes with a reflection on further opportunities that SCEDs can offer for evaluating TEL.

利用单例实验设计评估技术强化学习:系统回顾
单例实验设计(SCED)可以为评估技术辅助学习(TEL)提供一种可靠且内部有效的方法。我们进行了一项系统性综述,以概述什么是单例实验设计、为什么要使用单例实验设计以及如何使用单例实验设计来评估技术辅助学习。因此,符合纳入标准的 9 个数据库中的 136 项研究被纳入其中。结果显示,大多数研究都是在特殊教育领域进行的,重点是评估计算机辅助教学、视频提示和移动设备在改善语言和沟通、社会情感、技能和心理健康方面的效果。大多数研究的目的是评估干预措施的效果;通常没有提供使用 SCED 的具体理由。此外,多基线和分阶段设计是最常见的 SCED 类型,大多数测量都是在干预阶段进行的。常用的数据收集方法是观察、测试、问卷调查和任务分析,而直观分析和描述性分析则是常用的数据分析方法。近一半的研究不承认有任何局限性,但也有少数研究提到了普遍性和样本量小的局限性。本综述为利用 SCED 推动 TEL 评估方法提供了有价值的见解,并在最后对 SCED 为 TEL 评估提供的更多机会进行了反思。SCED 在没有干预措施和有干预措施的情况下,使用多种测量方法在多种条件下对单个参与者进行研究。SCED 可以成为评估任何干预措施(包括测试基于技术的干预措施)引起的行为变化的严格设计。本文的补充揭示了在 TEL 中使用 SCED 的模式、趋势和差距。确定了使用 SCED 进行研究的学科、教育技术工具和结果变量。通过阐明方法技巧,全面了解如何使用 SCED 评估电子学习。丰富了有关将 SCED 用于 TEL 的合理性和局限性的见解。对实践和/或政策的影响 提供信息,说明如何使用严格的 SCED 方法评估各学科的技术驱动干预措施。因此,有助于提高证据库的质量,为政策制定者和不同利益相关者提供设计、实施和决定影音技术的综合资源。
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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来源期刊
British Journal of Educational Technology
British Journal of Educational Technology EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.60
自引率
4.50%
发文量
111
期刊介绍: BJET is a primary source for academics and professionals in the fields of digital educational and training technology throughout the world. The Journal is published by Wiley on behalf of The British Educational Research Association (BERA). It publishes theoretical perspectives, methodological developments and high quality empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
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