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It establishes best practices for standardized metrics and methods to assess agreement and alignment, defines a mechanism to track concordance over time, and addresses over- or under-grading mitigation. 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HVP.01  \nD-3.3.1 STANDARDISED METRICS AND METHODS FOR INSTRUCTOR CONCORDANCE ASSURANCE  \nDigital transformationCase studies for aviation safety standards – Data Science Applications (DATAPP)  \nAn Agency of the European Union   \nDisclaimer  \nFunded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Union Aviation Safety Agency (EASA) . Neither the European Union nor EASA can be held responsible for them.  \nThis deliverable has been carried out for EASA by an external organisation and expresses the opinion of the organisation undertaking this deliverable. It is provided for information purposes. Consequently, it should not be relied upon as a statement, as any form of warranty, representation, undertaking, contractual, or other commitment binding in law upon the EASA.  \nOwnership of all copyright and other intellectual property rights in this material including any documentation, data and technical information, remains vested to the European Union Aviation Safety Agency. All logo, copyrights, trademarks, and registered trademarks that may be contained within are the property of their respective owners. For any use or reproduction of photos or other material that is not under the copyright of EASA, permission must be sought directly from the copyright holders.  \nReproduction of this deliverable, in whole or in part, is permitted under the condition that the full body of this Disclaimer remains clearly and visibly affixed at all times with such reproduced part.  \nDELIVERABLE NUMBER AND TITLE: DATAPP D-3 .3.1 Standardised metrics and methods for instructor concordance assurance  \nCONTRACT NUMBER: EASA.2022. HVP.01  \nCONTRACTOR / AUTHOR: CAAi/ Tim Ramsdale, Di Lintott, Chris Whitehurst, Pol Niño  \nIPR OWNER: European Union Aviation Safety Agency  \nDISTRIBUTION: Public  \nAPPROVED BY: AUTHOR REVIEWERS MANAGING DEPARTMENT  \nCAA International (CAAi) B. Briguglio-CAAi CAAi  \nAndrada Bujor-ALG  \nALG  \nAlex Olivera-ALG  \nFrancisco Arenas EASA  \nSPT 0012 Task Force  \nDATE:31 July 2024  \nSUMMARY  \nProblem area  \nDigitalisation is reshaping the aviation business at quick pace, bringing efficiency and wider opportunities to manage information. The deployment of digital solutions throughout the air transport industry is a fact and brings significant changes to the traditional working processes, business models, standards and regulations.  \nEASA faces new challenges on what the required changes in safety standards and regulations are needed in response to the introduction of innovative solutions and processes. Anticipating what is to come in the industry in the field of data science applications is key to make sure safety levels are maintained without slowing innovation down.  \nThe objective of this project is to identify and assess relevant changes to the existing aviation safety standards to support the deployment of the digital solutions under three case studies:  \n• Case Study 3: Flight training data for EBT/CBTA (Evidence-Based Training / Competence-Based Training and Assessment)  \n• Case Study 4: Digital fuel management  \n• Case Study 5: Flight data models for safety  \nThe project aims to provide a comprehensive evaluation of benefits, constraints, standardisation and deployment issues, including the recommendations for adjusting safety regulations and related standards, and how new digital technologies could contribute to addressing the identified issues.  \nDescription of work  \nThe present document relates to ‘D-3.3 Training Materials, part of the EASA.2022. HVP.01- Horizon Europe Project. The aim is to provide guidelines promoting best practices for the management of pilot grading data with the objective of improving instructor concordance. The focus of this report is:  \n1. Best-practice for standardised metri","cbCaijde0TgonxfQ","https://ap.wps.com/l/cbCaijde0TgonxfQ","pdf",856114,26,"English","# Summary\n## Problem area\n## Description of work\n## Results and Application\n# Abbreviations\n# 1. Introduction\n## 1.1 Background\n## 1.2 Scope of the report\n# 2. Creation of Training Material\n## 2.1 Approach to the creation of Training Material\n## 2.2 Recommendations\n# 3. Training Material\n## 3.1 Overview","[{\"question\":\"What is the main objective of this DATAPP deliverable?\",\"answer\":\"To identify and assess changes to existing aviation safety standards to support deployment of digital solutions, with training materials focused on improving instructor concordance.\"},{\"question\":\"Which case studies are referenced in the project overview?\",\"answer\":\"Case Study 3 covers flight training data for EBT/CBTA, Case Study 4 covers digital fuel management, and Case Study 5 covers flight data models for safety.\"},{\"question\":\"How does the deliverable address instructor concordance over time?\",\"answer\":\"It defines a mechanism to assess the evolution of concordance over time and to prevent or mitigate over- or under-grading.\"}]","DATAPP D-3.3.1 Standardised metrics and methods for instructor concordance assurance | PDF",66]