CuriosityXR: Context-aware Education Experiences with Mixed Reality and Conversation AI

Aaditya Vaze, Alexis Morris, Ian Clarke
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Abstract

The educational landscape is undergoing a fundamental shift towards a learner-centric model, emphasizing engagement, interaction, and personalization in the learning process. This study investigates new technologies that enable immersive, self-guided, and curiosity-driven educational experiences, addressing these crucial elements. The research delves into Mixed Reality (MR) as a tool for constructing a context-aware system that nurtures learners’ inquisitiveness while enhancing memory retention. The paper presents the design and development of "Curiosity XR," an MR headset application created using a research-through-design methodology, acting as a platform for educators to develop contextual and multi-modal interactive mini-lessons. Learners can engage with these lessons and also benefit from AI-supported learning content. The evaluation of this design involves a user participant study and subsequent interviews, revealing greater engagement levels, increased curiosity to learn, and improved visual content retention among participants. This work aims to encourage further exploration within the MR domain and promote the integration of MR and AI for the advancement of curiosity-driven education.
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CuriosityXR:利用混合现实和人工智能对话实现情境感知教育体验
教育格局正在发生根本性转变,向以学习者为中心的模式转变,强调学习过程中的参与、互动和个性化。本研究针对这些关键要素,对能够实现身临其境、自我引导和好奇心驱动的教育体验的新技术进行了调查。研究深入探讨了混合现实技术(MR),将其作为构建情境感知系统的工具,在增强记忆保持的同时培养学习者的探究能力。论文介绍了 "Curiosity XR "的设计和开发,这是一款采用 "通过设计进行研究 "的方法开发的混合现实头戴式耳机应用程序,是教育工作者开发情境和多模式互动迷你课程的平台。学习者可以参与这些课程,并从人工智能支持的学习内容中获益。对这一设计的评估包括用户参与研究和随后的访谈,结果显示,参与者的参与度更高,学习好奇心更强,视觉内容的保留率也有所提高。这项工作旨在鼓励在磁共振领域进行进一步探索,促进磁共振与人工智能的融合,推动好奇心驱动型教育的发展。
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