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 BrownSkillsNET Corporation

www.skillsnet.com

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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 PaukenChairman

Mr. Richard FroeschleDirector LMCI

Vangie L. Stice-IsraelCTE State Director

[email protected](512) 936-3105

mailto:[email protected]


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

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First: Build an industry-driven/validated job talent requirementsresource using a customized Texas version of DOL O*NETDetailed Work Activities.

Second: Establish industry level performance and learning difficultymetrics for job DWAs.

Third: Align the DWAs to TEA CTE-TEKS student expectations(learning objectives) as means to benchmark currentalignment 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 OpportunityTalent Grid and provide Web 2.0/3.0 capability for users.

The Method

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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

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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 [email protected]

Thank You!

mailto:[email protected]

Data driven talent grid tbec

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