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New Approaches for Understanding Some Concepts from History Using Engineering Techniques

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Visions and Concepts for Education 4.0 (ICBL 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1314))

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Abstract

The concept of Blended Learning has emerged as a natural by-product as a result of the development of the digital domain and which complements traditional methods in the real environment for various reasons. This learning method can be applied with different degrees of compatibility in the educational process. Even if some disciplines are better suited to these new methods, for example the technical ones, the question arises whether it is possible to use this concept in the humanities disciplines (literature, philosophy, history, psychology, etc.).

The present paper aims to provide a new tool for increasing the visibility and accessibility to some components of the cultural heritage, especially to those artifacts that could not be kept in the original form but for which we have information and evidence regarding their characteristics and properties.

This study is part of the author’s concerns to identify and to develop a methodology for the identification, evaluation, virtual reconstruction of artifacts, analysis and simulation of their functionality using new technologies and software engineering tools (3D reconstruction, new 3D visualization techniques, haptic systems, Finite Element Analysis, Multi Body Systems).

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Authors and Affiliations

  1. Transilvania University from Brasov, 500036, Brasov, Romania

    Silviu Butnariu

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  1. Silviu Butnariu
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Correspondence to Silviu Butnariu .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. McMaster University, Hamilton, ON, Canada

    Dan Centea

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Butnariu, S. (2021). New Approaches for Understanding Some Concepts from History Using Engineering Techniques. In: Auer, M.E., Centea, D. (eds) Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing, vol 1314. Springer, Cham. https://doi.org/10.1007/978-3-030-67209-6_10

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