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Award Abstract # 2202122
CyberTech: Expanding Opportunities in Cybersecurity

NSF Org: DUE
Division Of Undergraduate Education
Recipient: BROWARD COLLEGE
Initial Amendment Date: March 21, 2022
Latest Amendment Date: April 10, 2024
Award Number: 2202122
Award Instrument: Standard Grant
Program Manager: Paul Tymann
ptymann@nsf.gov
 (703)292-2832
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: June 1, 2022
End Date: May 31, 2026 (Estimated)
Total Intended Award Amount: $324,191.00
Total Awarded Amount to Date: $324,191.00
Funds Obligated to Date: FY 2022 = $324,191.00
History of Investigator:
  • Luis Pentzke (Principal Investigator)
    lpentzke@broward.edu
  • John Hadley (Co-Principal Investigator)
Recipient Sponsored Research Office: Broward College
111 E LAS OLAS BLVD
FORT LAUDERDALE
FL  US  33301-2206
(954)201-7410
Sponsor Congressional District: 23
Primary Place of Performance: Broward College
1000 Coconut Creek Boulevard
Coconut Creek
FL  US  33066-1615
Primary Place of Performance
Congressional District:
23
Unique Entity Identifier (UEI): G95LD67WQ8N5
Parent UEI: HJ3JDZ916NF5
NSF Program(s): Advanced Tech Education Prog
Primary Program Source: 04002223DB NSF Education & Human Resource
Program Reference Code(s): 1032, SMET, 9178
Program Element Code(s): 741200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

The US Bureau of Labor Statistics projects an increase of 31% in job openings in cybersecurity between 2019 and 2029. Even though the state of Florida has the fourth highest employment level in cybersecurity in the Nation, educational options for Florida students who wish to prepare for and pursue employment in the cybersecurity field are limited. The goal of this project is to increase access for low-income students, and underrepresented students to cybersecurity technician training while increasing overall graduation rates. This project will make use of a co-teaching model where faculty and cybersecurity graduate students work together to ensure the relevancy of the curriculum in the cybersecurity program. Graduate students will co-teach classes with faculty bringing the latest knowledge of cybersecurity threats and security breaches to the classroom. Partnerships with industry, universities, community colleges, and secondary schools will help ensure project success and alignment with the rapidly changing needs of the industry. This project will support regional workforce needs by providing local employers with a larger and better trained supply of cybersecurity technicians.

This project will respond to local industry needs while supplying broader insight into effectiveness of the co-teaching model on technician enrollment, retention, and certification acquisition. The program will pair cybersecurity instructors with cybersecurity graduate students through a co-teaching collaboration that will offer students near-peer support, access to current cybersecurity research, and a competency-based framework with recognition for prior learning. Project objectives include: 1) Increasing enrollment in cybersecurity courses; 2) Increasing fall-to-fall retention in cybersecurity courses; and 3) Increasing the number of credentials earned by students participating in the program. The evaluation plan will study the impact of the program on the target audience and the program?s potential for benefiting others. The evaluation design includes clear and specific student performance objectives with measurable qualities; use of multiple measures; use of project documents, records, and results for formative evaluation.

This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Please report errors in award information by writing to: awardsearch@nsf.gov.

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