This paper describes the design, implementation and research of the Cyber Sleuth Science Lab (CSSL), an innovative educational program and supporting virtual learning environment, that combines pedagogical theory, gender inclusive instruction strategies, scientific principles/practices, gamification methods, computational thinking, and real-world problem solving. This program provides underrepresented youth, especially girls, with digital forensic knowledge, skills and career pathways, challenging them to explore complex social issues related to technology and to become cyber sleuths using real-world digital forensic methods and tools to solve investigative scenarios. Students also learn about related careers while improving their cyber street smarts. The CSSL incorporates additional “outside of the computer” activities to strengthen students’ engagement such as structured in-classroom discussions, mock trials, and in-person interactions with practitioner role models. The CSSL was piloted in various forms to assess the suitability for in-school and out-of-school settings, and the students predominantly represented racial minorities. Research in this project relied on a mixed methods approach for data collection and analysis, including qualitative and quantitative methods, reinforced using learning analytics generated from the students clicking through the interface and interacting with the system. Analysis of gathered data indicate that the virtual learning environment developed in this project is highly effective for teaching digital forensic knowledge, skills, and abilities that are directly applicable in the workplace. Furthermore, the strategies for gender inclusive STEM instruction implemented in CSSL are effective for engaging girls without being harmful to boys’ engagement. Learning STEM through digital forensic science taps into girls’ motivations to address real-world problems that have direct relevance to their lives, and to protect and serve their community. After participating in the educational program, girls expressed a significantly greater increase in interest, relative to boys, in learning more about careers related to digital forensics and cybersecurity.
- Award ID(s):
- 1721141
- NSF-PAR ID:
- 10162577
- Date Published:
- Journal Name:
- International Journal of Science and Mathematics Education
- ISSN:
- 1571-0068
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Practitioner notes What is already known about this topic
Student career interest in primary and secondary school predicts college degree and career choice.
3D printing has the potential to improve students' interest in STEM careers.
STEM career interest is associated with student gender.
What this paper adds
This study examined the role of 3D printing and STEM integration level and student gender in students' STEM career interest.
Teachers' 3D printing integration level was not a significant predictor, but STEM integration level positively predicted students' interest in STEM careers.
This study confirmed that boys were more interested in Analytic STEM careers, whereas girls were more interested in Empathetic STEM careers.
Implications for practice and/or policy
Student STEM career interest improves when teachers integrate STEM in their instruction.
STEM instruction can be made relevant by focusing on empathetic aspects of STEM for girls, but caution should be exercised to minimise stereotyping.
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