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From Ground to Air: Developing a Drone Curriculum for Law Enforcement Education

Authors: Lawal, Nurudeen Segun; Burgett, Joseph Michael; Lucas, Jason;

From Ground to Air: Developing a Drone Curriculum for Law Enforcement Education

Abstract

Unmanned Aircraft Systems (UAS) have proven very beneficial for law enforcement activities and are used for search & rescue, surveillance, and crime scene reconstruction. As such, integrating this innovation into the law enforcement curriculum at two-year community colleges is becoming significantly important. This study surveyed 94 law enforcement officers and asked them to rank how vital 31 curriculum items were to include in a UAS certificate program. The researchers found three key conclusions from the top third-ranked curriculum items. First, the study participants thought regulations were critically important to include in the curriculum. “Federal and state UAS regulations” was the highest-ranked item in the survey, and “concepts assessed with FAA Part 107 licensing exam” ranked third highest. Learning to operate a drone is very important, with “basic flight skills,” “intermediary flight skills,” and “advanced flight skills” listed as separate curriculum items. The third key conclusion is that students should know how to conduct general missions, supported by high rankings for night missions, ethics, mission planning, risk management, and overwatch and command center techniques. This emphasis on practical drone operation skills underscores their growing importance in law enforcement training. It reflects the increasing need for a curriculum that thoroughly prepares students for real-world law enforcement scenarios, equipping them with the ability to effectively employ UAS technology in various operational contexts.

Related Organizations
Keywords

law enforcement, Uncrewed Aerial System, curriculum, drone, Unmanned Aircraft Systems (UAS)

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    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).
    2
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
2
Top 10%
Average
Average