研究AR技术对小学几何学习的影响:基于标记和无标记的AR的比较

IF 8.1 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Hunhui Na, K. Bret Staudt Willet, Chaewon Kim
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引用次数: 0

摘要

在过去的十年中,增强现实(AR)因其教学潜力而在几何学习中获得了牵引力。然而,关于学习者如何使用不同的增强现实技术以及何时以及如何使用这些技术的研究在很大程度上仍未得到探索。采用学习分析方法,本研究调查了基于标记和无标记的AR技术对小学课堂几何学习和学生参与的影响。我们开发了一个移动AR应用程序,集成了基于标记(即使用预定义的视觉标记来触发内容)和无标记(即在没有预定义标记的情况下触发内容)的AR模式,用于学习3D形状,并对43名六年级学生进行了准实验研究。为了全面捕捉学生的参与度,我们收集了几何理解的前后测试,以及应用内日志和设备传感器数据。我们的研究结果表明,这两种增强现实技术都有效地增强了几何理解。然而,用户粘性模式却存在显著差异;基于标记的AR导致更集中的认知任务,而无标记的AR促进了动态空间导航。该研究强调了每种AR技术的独特技术能力,这些技术能力可以带来独特的教学优势。基于这些发现,我们提出了一种用于几何学习的混合增强现实模型,该模型利用了基于标记和无标记的增强现实的优势。从业者注意到,关于这个主题,我们已经知道增强现实(AR)是通过提供沉浸式和交互式学习来增强几何学习的强大工具的经历。基于标记的ar使用预定义的视觉标记(例如QR码或图像)来触发内容,由于其易于使用和设置,已广泛用于教育领域。无标记ar(使用空间识别功能,没有预定义的视觉标记)最近成为一种新的可访问技术,在课堂环境中提供更动态和身临其境的学习体验。过去的研究主要集中在回答基于标记的AR与传统工具(如计算机)相比是否可以有效地使用;本文讨论了如何以及何时使用不同的AR技术。研究结果表明,基于标记和无标记的AR技术都能增强几何理解,但会导致学生的参与模式不同。基于标记的AR促进更集中的认知任务,而无标记的AR鼓励更多动态的空间导航和与学习环境的互动。对实践和/或政策的影响利用学习分析可以更深入地了解学生如何使用数字技术。教育者在设计教学时应该考虑AR技术的独特技术能力。实现混合AR模型,利用基于标记和无标记的AR可以优化几何教育的学习成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigating the impact of AR technologies on geometric learning in primary school: A comparison between marker-based and markerless AR

Investigating the impact of AR technologies on geometric learning in primary school: A comparison between marker-based and markerless AR

Over the past decade, augmented reality (AR) has gained traction in geometric learning for its pedagogical potential. However, research on how learners engage with different AR technologies and when and how to incorporate them has remained largely unexplored. Employing a learning analytics approach, this study investigates the impact of marker-based and markerless AR technologies on geometric learning and student engagement in primary school classrooms. We developed a mobile AR application that integrates both marker-based (ie, using predefined visual markers to trigger content) and markerless (ie, triggering content without predefined markers) AR modes for learning 3D shapes and conducted a quasi-experimental study with 43 sixth-grade students. To comprehensively capture student engagement, we collected pre- and posttests on geometric understanding, along with in-app log and device sensor data. Our findings showed that both AR technologies effectively enhance geometric understanding. However, engagement patterns varied significantly; marker-based AR led to more focused cognitive tasks, while markerless AR facilitated dynamic spatial navigation. The study highlights the distinct technical affordances of each AR technology that can lead to unique pedagogical advantages. Based on these findings, we propose a hybrid AR model for geometric learning that leverages the strengths of both marker-based and markerless AR.

Practitioner notes

What is already known about this topic

  • Augmented reality (AR) is a powerful tool for enhancing geometric learning by providing immersive and interactive learning experiences.
  • Marker-based AR—using predefined visual markers (eg, QR codes or images) to trigger content—has been widely used in education with its ease of use and setup.
  • Markerless AR—using spatial recognition capabilities without predefined visual markers—has recently emerged as a new and accessible technology, offering the potential for more dynamic and immersive learning experiences in classroom settings.

What this paper adds

  • Past studies have predominantly focused on answering whether marker-based AR can be effectively used compared with traditional tools (eg, computers); this paper addresses how and when different AR technologies can be used.
  • Findings show that both marker-based and markerless AR technologies enhance geometric understanding but lead to different engagement patterns in students.
  • Marker-based AR promotes more focused cognitive tasks, whereas markerless AR encourages more dynamic spatial navigation and interaction with the learning environment.

Implications for practice and/or policy

  • Leveraging learning analytics can provide deeper insights into how students engage with digital technologies.
  • Educators should consider the distinct technical affordances of AR technologies when designing their instruction.
  • Implementing a hybrid AR model that leverages both marker-based and markerless AR can optimize learning outcomes in geometric education.
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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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