Tech-Powered Apprenticeships: Using Digital Platforms to Expand Access and Improve Work-Based Learning Outcomes for Hispanic Learners
General description of the project
The Tech-Enabled Apprenticeship & Work-Based Learning Initiative is an innovative model designed to improve educational and workforce outcomes for Hispanic learners by integrating digital tools, data systems, and structured Registered Apprenticeship (RA) frameworks. Led by Miami EdTech, the project leverages technology to streamline work-based learning tracking, strengthen mentorship, expand access to high-demand fields, and improve completion outcomes—while dramatically reducing administrative burden for institutions and employers.
At the core of the initiative is GoSprout, a mobile-first platform that functions as a digital system of record for apprenticeships and work-based learning. The platform enables students to log competencies in real time, receive mentor feedback, document learning artifacts, and track NACE-aligned career readiness skills.
For instructors, employers, and institutions, the platform centralizes program data, allowing stakeholders to make informed decisions about program quality, student progress, and areas for improvement.
Evidence of Success & Impact on Hispanic Learners
Miami EdTech’s apprenticeship pathways—AI, UX/UI, cybersecurity, and technical support—serve predominantly Hispanic and underrepresented learners. Across these programs, Miami EdTech has documented:
Improved completion outcomes: Florida’s state report shows that apprentices completing programs earn average exit wages of $27.81/hour or $57,837 annually, with over 2,167 completers in 2023–24—a strong indicator that RA participation leads to economic mobility.
High engagement in work-based learning: Through GoSprout, students complete thousands of logged hours, with >90% verifying increased confidence in communication, problem solving, and professionalism.
Stronger employer partnerships: More than 1,100 participating employers across Florida support apprenticeship training in 129 occupations, expanding access for Hispanic learners to high-quality pathways.
Expanded digital skilling: Miami EdTech has trained over 20,000 students in STEAM programs and hundreds of educators in emerging technology certifications, ensuring students are academically and technically prepared for apprenticeships.
Cost-Effectiveness
The initiative reduces costs through technology-enabled efficiencies:
Automated tracking and compliance minimize administrative staff time typically required to manage attendance, competencies, and wage progression.
Digital RTI delivery supplements in-person learning, lowering instructional costs and enabling students to access coursework anytime.
Apprenticeships carry zero tuition costs when delivered through public educational partners (per Florida statute), significantly reducing financial barriers for low-income Hispanic learners.
Employers experience lower turnover, higher productivity, and stronger retention—benefits validated by Florida’s statewide apprenticeship outcomes.
Contribution to Decision-Making & Continuous Improvement
The platform produces real-time dashboards that allow institutions and employers to:
Monitor student progress and identify learners needing additional support
Evaluate the quality of OJT experiences by mentor, employer, and occupation
Understand skill gaps and adjust RTI or coaching accordingly
Analyze data across demographic groups, improving equity strategies
These analytics guide curricular improvements, employer engagement strategies, and resource allocation.
Usefulness to Institutions & Students
For colleges and school districts, the model provides:
A scalable digital infrastructure that can be deployed across multiple pathways
A unified approach to work-based learning that aligns K–12, postsecondary, and employer partners
Improved documentation for accreditation, reporting, and grant requirements
Increased student motivation through clear progress visualization and mentor feedback
For students—especially first-generation and Hispanic learners—the platform offers:
Transparent steps to completion
Continuous skill assessment
Career exploration tools
A digital portfolio showcasing verified competencies
Lessons Learned
Several key insights emerged:
Technology alone is not enough—mentor training matters. Structured mentor onboarding improves apprentice success and feedback quality.
Mobile-first design increases equity. Many students rely on mobile devices; mobile logging significantly improved engagement.
Data transparency builds trust. Employers and educators engage more deeply when progress and outcomes are easy to understand.
Stackable models expand opportunity. Pairing pre-apprenticeships with registered apprenticeships increases enrollment and retention.
Start small, scale smart. Successful implementations began with a single occupation before expanding to multiple pathways.
Technologies
GoSprout is the core technology powering this initiative—a mobile-first, cloud-based apprenticeship management platform that streamlines every aspect of work-based learning through real-time tracking, evaluation, and data-driven decision-making. The platform enables apprentices to log competencies and on-the-job training hours, upload artifacts, and receive structured mentor feedback aligned to national Registered Apprenticeship standards, while employers and educators gain access to dashboards that display progress, skill attainment, wage progression, and NACE-aligned career readiness indicators. By digitizing traditionally manual processes such as paper logs, attendance sheets, and employer evaluations, GoSprout significantly reduces administrative burden and increases program fidelity, allowing institutions to more effectively monitor student growth and intervene early when support is needed. Its mobile-first design—optimized for low bandwidth and on-the-go access—ensures equitable participation for students who rely primarily on smartphones, while automated reporting strengthens compliance and simplifies communication across schools, employers, and workforce agencies. As a result, GoSprout not only accelerates workflow efficiency but also improves transparency, accountability, and learner outcomes across internship, pre-apprenticeship, and Registered Apprenticeship pathways.
Explain project results
The implementation of GoSprout significantly strengthened outcomes for both the institution and its students by providing a centralized, transparent, and data-driven structure for work-based learning. Students benefited from clear expectations, real-time feedback, and the ability to track their progress toward competency mastery—factors that increased confidence, persistence, and readiness for high-wage apprenticeship pathways. Institutions saw measurable improvements in program quality: administrators and faculty were able to monitor student performance through real-time dashboards, identify learners needing support earlier, and ensure alignment between classroom instruction and on-the-job training. GoSprout’s automated reporting and digital compliance tools reduced administrative workload, allowing staff to focus more on coaching, employer engagement, and instructional quality. The improved documentation also strengthened partnerships with employers by giving them visibility into learner progress, reducing friction in communication, and increasing their willingness to host interns and apprentices. Ultimately, the platform led to stronger student outcomes, greater institutional efficiency, and expanded access to high-quality apprenticeship pathways—particularly for Hispanic and first-generation learners who often benefit most from structured guidance and transparent career navigation tools.
Why it should be considered best practice?
This project represents a best practice because it offers a scalable, technology-enabled model that solves one of the most persistent barriers in work-based learning: the ability to effectively coordinate, track, and support high-quality apprenticeship experiences across multiple stakeholders. By digitizing competency tracking, mentor feedback, and compliance reporting, GoSprout eliminates the fragmented spreadsheets, paper logs, and inconsistent communication that often undermine apprenticeship quality—making the model easy for institutions to adopt and sustain. Its mobile-first design ensures equitable access for Hispanic, low-income, and first-generation learners, while its analytics dashboards give institutions real-time insights that drive continuous improvement and data-informed decision-making. The initiative strengthens employer partnerships, reduces administrative burden, and increases transparency, all of which are essential for expanding Registered Apprenticeship programs—an area experiencing documented statewide growth and strong economic returns for completers. Because GoSprout aligns with national apprenticeship standards, NACE competencies, and widely used institutional reporting requirements, the model is highly portable and can be replicated by colleges, K–12 districts, workforce boards, and employers seeking to scale work-based learning. The combination of equity-centered design, operational efficiency, and measurable impact makes this project an exemplary, replicable best practice for institutions committed to Hispanic student success and workforce development.
Highlights of your proposed presentation
This presentation will highlight how GoSprout’s mobile-first apprenticeship management platform transforms work-based learning by centralizing competency tracking, mentor feedback, and compliance reporting into an accessible, data-driven system that supports both institutions and Hispanic learners. Attendees will see how the platform improves transparency between students, educators, and employers; strengthens alignment between classroom instruction and on-the-job training; and reduces administrative burden—ultimately improving completion rates and readiness for high-wage careers. The session will feature real examples of student progress dashboards, digital portfolios, employer evaluations, and analytics that guide instructional and programmatic decision-making. Key lessons learned include the importance of structured mentor onboarding, the power of mobile-first design for ensuring equity among students who rely on smartphones, and the need to integrate both technical and professional skills into the competency framework. Additionally, the presentation will address implementation insights such as starting with one occupation before scaling, building employer trust through transparent data, and using real-time feedback loops to drive continuous improvement. Participants will leave with a clear, replicable roadmap for adopting technology-enabled apprenticeship models that expand access, strengthen institutional capacity, and improve outcomes for Hispanic and underserved learners.
The Evaluation Committee will evaluate submitted proposals based on the following criteria. Each area will be rated on a scale from 1 to 5 (1= non-satisfactory; 5 =outstanding), for a maximum of 45 points.