Unveiling joint attention dynamics: Examining multimodal engagement in an immersive collaborative astronomy simulation

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-02-02 DOI:10.1016/j.compedu.2024.105002
Jina Kang , Yiqiu Zhou , Robin Jephthah Rajarathinam , Yuanru Tan , David Williamson Shaffer
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Abstract

Numerous computer-based collaborative learning environments have been developed to support collaborative problem-solving. Yet, understanding the complexity and dynamic nature of the collaboration process remains a challenge. This is particularly true in open-ended immersive learning environments, where students navigate both physical and virtual spaces, pursuing diverse paths to solve problems. In response, we aimed to unpack these complex collaborative learning processes by investigating 16 groups of college students (n = 77) who utilized an immersive astronomy simulation in their introductory astronomy course. Our specific focus is on joint attention as a multi-level indicator to index collaboration. To examine the interplay between joint attention and other multimodal traces (conceptual discussions and gestures) in students' interactions with peers and the simulation, we employed a multi-granular approach. This approach encompasses macro-level correlations, meso-level network trends, and micro-level qualitative insights from vignettes to capture nuances at different levels. Distinct multimodal engagement patterns emerged between low- and high-achieving groups, evolving over time across a series of tasks. Our findings contribute to the understanding of the notion of timely joint attention and emphasize the importance of individual exploration during the early stages of collaborative problem-solving, demonstrating its contribution to productive knowledge co-construction. This research overall provides valuable insights into the complexities of collaboration dynamics within and beyond digital space. The empirical evidence we present in our study lays a strong foundation for developing instructional designs aimed at fostering productive collaboration in immersive learning environments.

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揭示联合注意力动态:在身临其境的协作式天文学模拟中考察多模态参与情况
为了支持协作解决问题,人们开发了许多基于计算机的协作学习环境。然而,了解协作过程的复杂性和动态性仍然是一项挑战。这在开放式沉浸式学习环境中尤为如此,在这种环境中,学生在物理空间和虚拟空间中穿梭,通过不同的途径解决问题。为此,我们调查了在天文学入门课程中使用沉浸式天文学模拟的 16 组大学生(n = 77),旨在解读这些复杂的协作学习过程。我们的具体重点是将联合注意力作为多层次的协作指标。为了研究学生在与同伴和模拟互动过程中联合注意力与其他多模态痕迹(概念讨论和手势)之间的相互作用,我们采用了一种多粒度方法。这种方法包括宏观层面的相关性、中观层面的网络趋势和微观层面的小故事定性洞察,以捕捉不同层面的细微差别。成绩差的群体和成绩好的群体之间出现了不同的多模式参与模式,并随着时间的推移在一系列任务中不断演变。我们的研究结果有助于理解及时共同关注的概念,并强调了在合作解决问题的早期阶段个人探索的重要性,证明了个人探索对富有成效的知识共建的贡献。总体而言,这项研究为了解数字空间内外协作动态的复杂性提供了宝贵的见解。我们在研究中提出的经验证据为开发旨在促进沉浸式学习环境中富有成效的协作的教学设计奠定了坚实的基础。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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