Abstract
The emergence of museum education aims at incorporating cultural heritage content within educational metadata frameworks in order to educate versatile individuals, equipped to navigate the complexities of a globalised world. The work navigates through the challenges and benefits of this integration, proposing the development of a unified metadata model for museum education as an incremental step towards improved learning experiences in the digital age. Accordingly, this work proposes the merging of EDM, LOM, and IMS LD metadata schemas so as to enhance the delivery and engagement of educational content by amalgamating it with cultural heritage content. This is achieved through the development a model focused on enhancing learning through CH and its evaluation as far as the opportunities and challenges of this integration through a case study. The case study is centred on the Ionian University Museum’s collections and specifically the “Duplicating Machine Gestetner No 1193069”. The pedagogical benefits of the proposed approach are then showcased, emphasising the enriched learning environment it creates. Thus, the case study demonstrates the feasibility and capability of the model to provide information that will engage students with CH, connecting them with historical and cultural narratives in a meaningful way by integrating detailed cultural and historical insights into the learning process.
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Acknowledgement
The financial support of the European Union and Greece (Partnership Agreement for the Development Framework 2014–2020) under the Regional Operational Programme Ionian Islands 2014–2020 for the project “CuratorX” is gratefully acknowledged.
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Vlachou, E., Karydis, I. (2024). Museum Education: Integration of Cultural Heritage and Educational Metadata Schemas. In: Maglogiannis, I., Iliadis, L., Karydis, I., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops. AIAI 2024. IFIP Advances in Information and Communication Technology, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-031-63227-3_18
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