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Other literature type . 2025
License: CC BY
Data sources: ZENODO
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Project deliverable . 2025
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2025
License: CC BY
Data sources: Datacite
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D5.1 Training Design and Initial Operations

Authors: Di Giulio, Roberto; FAVARETTO, GIULIA; Königshofer, Elisabeth; LONGO, DANILA; Maietti, Federica; ROVERSI, Rossella; TURILLAZZI, BEATRICE; +1 Authors

D5.1 Training Design and Initial Operations

Abstract

This deliverable outlines the ARTEMIS training design, with a particular focus on its expected end users, the envisioned training topics and the proposed training formats. The document also describes the preliminary desk research, user research and pedagogical framework that have been taken into account with the objective of the ARTEMIS project in mind, namely the development of an infrastructure for working with reactive heritage digital twins (RHDT). The activities contained within the work package have been divided into two tasks: task 5.1 which is concerned with training material, and task 5.2 which concentrates on training provision. Tasks 5.1 and 5.2 have been in constant exchange and discussion throughout the last months. Consequently, they have not been given specific sections in the deliverable. Instead, the deliverable focuses on various areas that require consideration for planning the training design. This document delineates the expected cultural heritage end users across four distinct user categories (UC): conservation and collection care (1), research and education (2), technical and digital innovation (3) and administration and management (4). The classification derived from a thorough analysis of two primary sources: the ARTEMIS user needs survey and the Competence Centre for the Conservation of Cultural Heritage (4CH) project. The classification is further refined by incorporating user experience methods such as the utilisation of personas and How-Might-We questions. A list of initial training topics has been formulated and subsequently correlated with the ARTEMIS goals and objectives. ARTEMIS training therefore will focus on the following main areas: RHDT, augmented reality/virtual reality (AR/VR) applications, Internet of Things (IoT) services, the ARTEMIS knowledge base and pilots developed in ARTEMIS that prove the applicability of the ARTMIS infrastructure and services. These topics are being translated into learning objectives and outcomes in the training materials that relate to our rich user community and their diverse needs by focusing on their expertise levels (breadth and depth of knowledge: beginner, intermediate, advanced) and their levels of learning (how independent learners are in applying their knowledge: knowledge, understanding, competence). The deliverable also comprises a set of recommendations for the emerging ARTEMIS training. The training has been designed to cater to the diverse needs of our user community, while adhering to sustainability and reuse, i.e. the FAIR principles and the FAIR-by-design approach. It is evident that a diverse range of learner needs can be supported by a combination of learning modalities: including asynchronous training through Open Educational Resources (OER) on DARIAH-Campus (including an ARTEMIS pathfinder and curriculum), synchronous training in form of online workshops, and an in-person summer school. Furthermore, the ARTEMIS training design follows an iterative design approach. This approach entails the systematic design, testing and evaluation of training materials in a cyclical manner in order to ensure that the training materials respond to user needs and feedback (i.e. a refined curriculum and learning material), and can be adapted as the project progresses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green