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  5. Teaching Stories in Online Police Firearms Training Videos: Analysis of Content and Messages Carried
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Teaching Stories in Online Police Firearms Training Videos: Analysis of Content and Messages Carried

Date Issued
December 1, 2020
Author(s)
Bailey, Alan Alfred James  
Advisor(s)
Dr. Ralph Brockett
Additional Advisor(s)
Dr. Ralph Brockett, Dr. Qi Sun, Dr. Barbara Thayer-Bacon, Dr Lois Presser
Abstract

Abstract


The purpose of this study is to identify teaching stories in freely available online police firearms training videos and examine the manifest or latent messages they may carry for a law enforcement audience. The literature recognizes that “well told stories have educational power” (Rae, 2016, p.2) and that adult educators traditionally use stories to teach (Clark & Rossiter, 2008) including some police academy trainers (Ford, 2003). However, there is less appreciation of story’s role in the informal learning setting of online videos that might influence the thinking and behavior of viewers. Randomly selected videos were analyzed to identify the teaching stories and messages they contain, revealing a structure in each video of a prime teaching narrative supported by subplot teaching stories. Three types of teaching stories, oral, visual, and narrated are apparent in the study addressing narratives of inherent occupational danger, use of emotive language and predominately positive views of this adult learning activity. The study suggests opportunities exist to apply adult learning theory to provide a more nuanced police training practice for workers in this unpredictable workplace.

Subjects

Police Firearms Train...

Danger Narrative

Teaching Story Langua...

Disciplines
Adult and Continuing Education
Educational Psychology
Degree
Doctor of Philosophy
Major
Educational Psychology and Research
Embargo Date
December 15, 2021
File(s)
Thumbnail Image
Name

Bailey_Dissertation_Final_.docx

Size

212.84 KB

Format

Microsoft Word XML

Checksum (MD5)

8059ed09aedb92cf312b9db3eae552a8

Thumbnail Image
Name

auto_convert.pdf

Size

863.14 KB

Format

Adobe PDF

Checksum (MD5)

cad7be55041b28f8796c751ca4f3cfc0

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