Micro-Credentialing and Digital Badges in Developing RPAS Knowledge, Skills, and Other Attributes

Author:

Murray John1,Joiner Keith2ORCID,Wild Graham3

Affiliation:

1. School of Engineering and Technology, UNSW, Canberra 2612, Australia

2. Capability Systems Centre, UNSW, Canberra 2612, Australia

3. School of Science, UNSW, Canberra 2612, Australia

Abstract

This study explores the potential of micro-credentialing and digital badges in developing and validating the knowledge, skills, and other attributes (KSaOs) required for diverse Remotely Piloted Aircraft Systems (RPAS) operations. The rapid proliferation of drone usage has outpaced the development of necessary KSaOs for safe and efficient drone operations. This research aims to bridge this gap by identifying the unique and specific KSaOs required for different types of drone operations and examining how micro-credentialing and digital badges can provide tangible evidence of these KSaOs. The study also investigates the potential benefits and challenges of implementing digital badges in the RPAS sector and how these challenges can be addressed. Furthermore, it explores how digital badges can contribute to the standardization and recognition of RPAS competencies across different national regulatory bodies. The methodology involves observational studies of publicly available videos of drone operations, with a focus on agriculture spraying operations. The findings highlight the importance of both generic and specific KSaOs in RPAS operations and suggest that digital badges may provide an effective means of evidencing mastery of these competencies. This research contributes to the ongoing discourse on drone regulation and competency development, offering practical insights for regulators, training providers, and drone operators.

Funder

Australian Government Research Training Program (RTP) Scholarship

Publisher

MDPI AG

Reference34 articles.

1. The state-of-the-art of human–drone interaction: A survey;Tezza;IEEE Access,2019

2. Bartsch, R.I.C. (2016). Unmanned and Uncontrolled: The Commingling Theory and the Legality of Unmanned Aircraft System Operations. [Master’s Thesis, Faculty of Engineering and Information Technologies, School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney].

3. Albihn, J. (2022). Human Factors In Aerial Drone Operations. [Bachelor’s Thesis, School of Aviation, Faculty of Engineering, Lund University].

4. Herz, R.P. (2008). Assessing the Influence of Human Factors and Experience on Predator Mishaps. [Ph.D. Thesis, Department of Business & Technology Management, Northcentral University].

5. Stark, B., Coopmans, C., and Chen, Y. (2012, January 14–16). A framework for analyzing human factors in unmanned aerial systems. Proceedings of the 2012 5th International Symposium on Resilient Control Systems, Salt Lake City, UT, USA.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3