Ψηφιακός μετασχηματισμός στην εκπαίδευση: βελτίωση της μάθησης υιοθετώντας την επαυξημένη πραγματικότητα στην τάξη
This study delves into the impact of digital transformation in education, with a specific focus on the integration of Augmented Reality (AR). AR's potential for engaging learners and enhancing educational experiences is explored from various angles, underlining its role in the transformation of...
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| Κύριοι συγγραφείς: | , |
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| Άλλοι συγγραφείς: | |
| Γλώσσα: | en_US |
| Δημοσίευση: |
2023
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| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/11610/25910 |
| Ετικέτες: |
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| Περίληψη: | This study delves into the impact of digital transformation in education, with a specific focus on the integration of Augmented Reality (AR). AR's potential for engaging learners and enhancing educational experiences is explored from various angles, underlining its role in the transformation of teaching and learning methods. By providing a detailed history and demarcating the differences between AR, Virtual Reality (VR), and Mixed Reality (MR), this study creates a foundational understanding of AR. It presents a thorough analysis of AR categories, including hardware-based, software-based, and application-based, offering insights into diverse AR applications like Industrial, Healthcare, Education, and Entertainment. This research also examines various AR development software, providing a comprehensive comparison table for the AR development. In the context of education, the study emphasizes the significance of AR in classroom settings, discussing its benefits, challenges, and potential pitfalls. It presents practical use cases of AR in diverse educational contexts, such as STEM, Arts and Humanities, language learning, and special education. The work includes successful AR application examples and offers innovative AR implementation strategies for the digital transformation and hybrid model era. It concludes with future research directions, underlining emerging trends in AR and Education, the role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing AR experiences, and the need for additional practical studies for AR adoption in educational institutions and schools. |
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