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Insights from Workignation Panel on Learning Models

Mar 11, 2025

Workignation Panel Discussion on Learn and Earn Models

Introduction

  • Host: Jane Oates, President of Workignation
  • Purpose: Discuss transitions from education to work, focusing on "learn and earn" models.
  • Panelists:
    • Jamie Merisotis: CEO, Lumina Foundation
    • Lydia Logan: VP, Global Education and Workforce Development at IBM
    • Keenan Harrison: VP, Workforce Partnerships at Revature

Panelist Introductions

Jamie Merisotis (Lumina Foundation)

  • Goal: Increase post-high school educational attainment in the U.S.
  • Target: 60% of Americans to have a high-quality degree, certificate, or credential by 2025.
  • Progress: Increase from 38% in 2008 to 52% today.

Lydia Logan (IBM)

  • Focus: Provide free global skilling using IBM resources.
  • Initiatives: Skills-first hiring, removing degree requirements.

Keenan Harrison (Revature)

  • Role: Largest employer of entry-level tech talent.
  • Model: Three-month paid apprenticeship.
  • Success: Trained 10,000+ software engineers over 8-9 years.

Learn and Earn Programs

Overview

  • Importance: Rising demand for skills, especially human-centric skills.
  • Models: Includes apprenticeships, internships, co-ops, work-study programs.
  • Current Trends:
    • Post-pandemic skill demand rapidly changing.
    • Higher education faces a brand problem due to declining enrollments.
  • Solution: Learn and earn models as pathways to better jobs and lives.

IBM's Role

  • Mission: Ecosystem of talent for current/future jobs; focus on diversity.
  • Programs:
    • STEM for Girls: Early exposure to tech careers.
    • P-TECH: Partnership with high schools for career-based learning.
    • SkillsBuild: Online learning with badges/certifications.

Revature's Approach

  • Model: Apprenticeships tailored to client needs.
  • Belief: Opportunity should reach talent, not vice-versa.
  • Outcome: High retention rates, significant workforce impact.

Diversity and Accountability

  • Challenges: Historic barriers for people of color, women.
  • Measurements: Metrics at IBM show increased diversity with degree removal.
  • Focus on Racial Equity: Lumina emphasizes narrowing educational gaps.

Credentialing and Quality

  • Issues: Need for all learning to count; credentials indicate skills.
  • Credential Types: Degrees, badges, certificates, certifications, licenses.
  • PLA: Prior learning assessment needs reform.

Future of Tech Jobs

  • Question: Will tech jobs be obsolete due to AI?
    • Panel Consensus: No, tech jobs will evolve, new areas like cybersecurity will grow.
  • Need for Human Skills: Jobs will require human-machine complementarity.

Rural Access & Remote Learning

  • Opportunities: Virtual internships/apprenticeships have increased accessibility.
  • Challenges: Broadband access remains a barrier.

Collaboration with Higher Education

  • Community Colleges: Key role in labor-responsive education.
  • Higher Ed Partnerships: Revature and IBM partner with institutions for training.

Business Engagement

  • Incentives: Need for businesses to recognize ROI in investing in employee education.
  • CSR: IBM encourages clients to adopt similar apprenticeship models.

Conclusion

  • Key Message: Learn and earn models provide valuable pathways.
  • Future Focus: Continued collaboration between education, industry, and government to scale these models effectively.