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2030 Decennial Census Automated Training

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Federal

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The Department of Commerce is seeking a contractor to develop the 2030 Decennial Census Automated Training framework. This project aims to build upon the 2020 Census training model by implementing a blended, staggered approach to instruction. The required deliverables include a working model of a Learning Record Store, a Learner Portal, a Virtual Classroom, and various online training modules designed to ensure trainees master survey concepts and procedural skills before entering the field. To accommodate an audience with limited prior knowledge, the contractor must decompose complex tasks into sub-topics and provide targeted scaffolding. The framework will integrate self-assessments and graded formative assessments to monitor trainee performance and identify those requiring additional support. This forecast is categorized under NAICS code 611430, with the place of performance located in Suitland-Silver Hill.

General Info

Commerce seeks a contractor to develop the 2030 Decennial Census automated training framework.

Agency

Department of Commerce

NAICS

611430 - Professional and Management Development Training

Place of Performance

SUITLAND-SILVER HILL, MD, USA

Set-Aside

NONE

Documents

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Organization & Contact Information

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AgencyDepartment of Commerce
Contacts2 people available
OfficeN/A
Organization / Agency
Department of Commerce
Office AddressN/A
Contacts

Full Description

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The purpose of this contract is to obtain services of a Contractor for the development of 2030 Census Training framework which encompasses a working model of Learning Record Store, Learner Portal, Virtual Classroom and online training modules. The goal is to extend and build upon the success of 2020 Census training framework for all operations that employed the blended, staggered training approach in 2030 Census. Mastery of survey concepts and procedural skills on operating the instrument are critical for effective transfer of learning in the actual field work. Since our training audience has limited or no prior knowledge, complex knowledge and tasks should be decomposed into sub-topics and supported with targeted scaffolding so trainees can thoroughly understand and absorb what they are learning. Self-assessment and graded formative assessments will be integrated into the modules to identify high and low performing trainees who

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Pacific Gas and Electric Company

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