Digital heritage&Design thinking: The railtoland workshop as an innovative practice in the higher education scenario

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Abstract

The higher education scenario is constantly evolving and COVID-19 restrictions traced a demarcation line with previous behaviours and practices. Even though the European Commission spends many efforts to monitor the progresses, indicate the challenges as well as to give the perspectives, innovating the way in which we teach, especially about heritage & design, is rarely a priority. The article presents an interdisciplinary learning activity carried out within the RAILtoLAND (RtL) project, a co-funded Erasmus+ project under the Key Action 2 "Cooperation for innovation". RtL is a collective ideation platform to develop innovative tools to communicate the European Cultural Landscapes by train and it has the goal to explore the social and educational value of the railway landscape as a common heritage and as a catalyst for European identity. The workshop was carried out in the Sub-Apennine area dealing with two complementary and fundamental topics "Digital Heritage & Design Thinking", experiencing virtual events and innovative practices for the knowledge, narrative and design of heritage and landscape. The workshop stemmed from an interdisciplinary approach: experts in digital cultural heritage, survey and representation techniques, geomatics, and urban and landscape designers brought together their expertise and performed a ground-breaking study activity. The learning activities involved areas in the Marche Region (Italy) through on field activities, and the Porto-Vigo railway line (Portugal-Spain) through the experience of a virtual trip.

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APA

Quattrini, R., Ferretti, M., Berrocal, A. B., & Zamorano, C. (2023). Digital heritage&Design thinking: The railtoland workshop as an innovative practice in the higher education scenario. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 48, pp. 1261–1269). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-Archives-XLVIII-M-2-2023-1261-2023

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