使用虚拟人物三维重建真实学习的有效性评估

Q4 Mathematics
Livia Stefan, PhD Bucharest Romania Independent Researcher, Dragos Gorghiu
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引用次数: 0

摘要

本文提出了一种可持续的历史发现、教学和学习方法,利用真实的学习范式,通过一组虚拟人物填充的三维历史重建,其目的是提高重建的真实性,并提供有关历史背景的复杂信息。本文提供了在vallolenii de Munte和Albesti, Dobrogea进行的3D重建的两个案例研究的细节。为了理解这样一个复杂的生命系统的功能,真实的人物(穿着时代服装的演员),以及来自民族志博物馆的真实物体被扫描成3D,并在Unity3D的虚拟环境中引入。有用性感知是数字学习环境质量和效率的重要指标,因此也反映了教师和学生随后对数字学习环境的接受程度。本文的研究目的是对虚拟人物和虚拟物体对真实学习环境的实现的贡献进行评估过程,并展示研究成果。讨论了利用三维重建和虚拟人物的学习成果来评估虚拟环境中学习的有用性,以说明研究结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Usefulness of Authentic Learning Using 3D Reconstructions with Virtual Characters
The present paper proposes a sustainable method for discovering, teaching and learning history using the authentic learning paradigm by means of a set of 3D historical reconstructions populated with virtual characters, whose purpose is to improve the authenticity of the reconstructions and to offer complex information on the historical contexts. The paper provides the details of two case studies of 3D reconstructions conducted in Vălenii de Munte and in Albesti, Dobrogea. To understand the functionalities of such a complex living system, real characters (actors dressed in epoch costumes), as well as real objects from ethnographic museums have been scanned in 3D and introduced in the virtual environment in Unity3D. The perception of usefulness is an essential indicator of the quality and efficiency of the digital learning environments and consequently of their subsequent acceptance by teachers and students. The research purpose of the paper was to conduct a process of assessment of the contribution of the virtual characters and objects to the realization of the authentic learning environment, and to present the research findings. The assessment of the usefulness of learning in virtual environments using 3D reconstructions and virtual characters by means of the learning outcomes is discussed to illustrate the research conclusions.
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来源期刊
Journal of Computational Technologies
Journal of Computational Technologies Mathematics-Applied Mathematics
CiteScore
0.60
自引率
0.00%
发文量
37
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