Data driven talent grid tbec

SkillsNET - TBEC STEM Team Meeting Connect-Communicate-Collaborate
TBEC STEM Action Team Meeting
Sheraton Dallas Hotel
October 21, 2010
A Data-Driven
Skills Articulation
Talent Grid
Michael Brown
SkillsNET Corporation
www.skillsnet.com
1

SkillsNET - TBEC STEM Team Meeting Connect-Communicate-Collaborate 2
Visionaries and Sponsors
DWA initiative sponsors:
Texas
Workforce
Commission
Team Lead and Contact:
Mr. Richard Froeschle
Mr. Tom Pauken
Chairman
Mr. Richard Froeschle
Director LMCI
Vangie L. Stice-Israel
CTE State Director
richard.froeschle@twc.state.tx.us
(512) 936-3105

Basic Solution:
Industry Requirements must have useful associations and impact toward education,
workforce development, and labor market transactions (Talent Grid).
Basic Formula:
Use common language and metrics to support education readiness programs,
industry talent management systems, and workforce solutions people services with
an eye toward building regional economic capacity.
Basic Approach:
Leverage emerging Social Media and Semantic Web technologies to classify and
cluster unstructured processes.
Basic Problem:
People, Politics, Parochialism, and Performance!
A systems thinking approach is needed!!
The Vision
3

First: Build an industry-driven/validated job talent requirements
resource using a customized Texas version of DOL O*NET
Detailed Work Activities.
Second: Establish industry level performance and learning difficulty
metrics for job DWAs.
Third: Align the DWAs to TEA CTE-TEKS student expectations
(learning objectives) as means to benchmark current
alignment and automate rewrite for future releases.
Fourth: Align the DWAs to post-secondary CTE Skill Certificates /WECM.
Fifth: Align the DWAs to industry career certifications.
Sixth: Utilize metrics to improve career placement (labor exchange)
Seventh: Design and implement State-Wide Career Opportunity
Talent Grid and provide Web 2.0/3.0 capability for users.
The Method
4

A Few Initiatives
Math and Science Teachers DWA Study
TEA/TEKS/DWA Crosswalk-Alignment
Industry DWA Performance Levels
DWA-Skills Articulation Field Activities
DWA Skills Matching Research
5

303 State-wide Teachers Participated
Review, Edit, Add and Finalize DWA’s
for These Occupations

Shared Skills and Capabilities With Other Occupations

NEXT STEPS:
Establish Performance Levels then…….

Answering these questions…..
Can industry validated skills be mapped to TEKS learning expectations?
How different are the learning expectations and skill statements?
Can CTE Directors use the skill statements to augment learning expectations?
What are the skills articulation gaps and for which occupations?
What are lessons learned from the research?
Will industry sustain a skills articulation model?

Regional Crosswalk Efforts
Greater Brazoria County: Petro-Chemical – Gas – Nuclear
Greater Brownwood Region: Services-Manufacturing
Greater Temple Region: Health Sciences
Gulf Coast Region: SmartGrid – Aerospace - Technology
Ft. Worth/Birdville: Aerospace and Construction
Greater Garland Region: Advanced Manufacturing
Birdville will Audit all 16 Career Clusters

Why Performance Levels?
To establish reliable metrics for….
Skill Acquisition Level Development
Skills Matching: Person to content, person to work, etc.
Talent Development Metrics
Career Alignment / Succession Planning

Alignment of CONTENT and Talent

Skills Articulation Supports the Talent Grid…

Why Skills Matching Research?
• Leverage Web 2.0 / 3.0 Technologies
• Machine Readable Decision Support
• Mass Customization of Personal Services

Michael Brown
Michael.brown@skillsnet.com
972-923-2950
Thank You!

Data driven talent grid tbec

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