Digital Fingerprints: Technology-Enhanced Forensic Investigation

Main Article Content

Rocky Elmore
https://orcid.org/0009-0005-8731-2086

Abstract

This forensic science lesson engages 11th – 12th grade students in authentic fingerprint analysis using technology-enhanced collaborative data collection. Students use iPads to capture and analyze fingerprint patterns, first sampling their classroom, then expanding across multiple classrooms to explore how sample size affects data reliability. Through real time collaboration using shared Excel spreadsheets, students aggregate fingerprint pattern distributions, calculate percentages, and evaluate the validity of their findings. This technology-rich experience transforms traditional fingerprinting labs by enabling large-scale data collection and analysis that would be impossible with paper-based methods. Students apply scientific methodology to forensic evidence, assess how sample size impacts conclusions, and develop data literacy skills that are essential for criminal investigations.

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Article Details

How to Cite
Elmore, R. (2025). Digital Fingerprints: Technology-Enhanced Forensic Investigation. Journal of Technology-Integrated Lessons and Teaching, 4(2), 96–101. https://doi.org/10.13001/jtilt.v4i2.9953
Section
JTILT Competitions
Author Biography

Rocky Elmore, Auburn University at Montgomery

Rocky Elmore is a Forensics Science teacher in the Tuscaloosa County School System. He has been working as a Forensics teacher exclusively for 3 years and been a teacher within the system for 10 years. He can be reached at relmore@aum.edu.