Expressions of learner agency in virtual inquiry: Linking agency and evidence-centered game design

IF 10.5 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Computers & Education Pub Date : 2026-07-01 Epub Date: 2026-02-04 DOI:10.1016/j.compedu.2026.105590
Jillianne Code , Kieran Forde , Rachel Moylan , Aimee Lutrin , Zahira Tasabehji , Rachel Ralph , Aashay Mehta , Nick Zap , Nesrine El Banna
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引用次数: 0

Abstract

Game-based learning environments often support exploration but rarely connect learner agency with rigorous, embedded assessment. This study reports on the design and pilot implementation of ALIVE (Agency for Learning in Immersive Virtual Environments), a virtual inquiry environment that integrates the Agency for Learning framework with Evidence-Centered Game Design. Nine middle and high school students completed an ecological investigation that required evidence collection, hypothesis testing, and causal explanation. Data included think-aloud protocols, gameplay logs, and brief feedback questions. Triangulated analyses captured both convergence and divergence between self-reported and observed agency. Learners showed intentional decisions, strategy shifts, and selective delegation to system supports at points of uncertainty. These findings show how aligned competency, evidence, and task models make inquiry actions visible and interpretable. The study also offers a multisource approach for examining expressions of agency within guided digital inquiry. Limitations include the small sample and single-session design. Future work should examine longer-term patterns, broader implementation, and transfer across domains.
虚拟探究中学习者代理的表现:关联代理与循证游戏设计
基于游戏的学习环境通常支持探索,但很少将学习者代理与严格的嵌入式评估联系起来。本研究报告了ALIVE(沉浸式虚拟环境中的学习代理)的设计和试点实施,这是一个虚拟探究环境,将学习代理框架与以证据为中心的游戏设计相结合。九名初高中学生完成了一项生态调查,包括证据收集、假设检验和因果解释。数据包括大声思考协议、玩法日志和简短的反馈问题。三角分析捕捉到了自我报告和观察到的代理之间的趋同和分歧。学习者表现出有意的决策,策略转变,并在不确定的情况下选择性地委托给系统支持。这些发现显示了一致的能力、证据和任务模型如何使调查行动可见和可解释。该研究还提供了一种多源方法来检查引导数字查询中的代理表达。限制包括小样本和单会话设计。未来的工作应该检查更长期的模式、更广泛的实现和跨领域的转移。
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
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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