AI Microlearning (OttoLearn)

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Human Resources

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The VA Acquisition Academy’s (VAAA) Acquisition Intern Program (AIP) trains 1102 contract specialists. The 12-month program (including one-month post training support) consists of face-to-face and virtual classroom training at the VA Acquisition Academy and On-The-Job Training (OJT) at contracting sites across the United States. Periods of academic training are followed by longer periods of OJT. Unfortunately, due to the dynamic nature of the acquisition field offices, interns are often not able to focus on the acquisition lifecycle steps and content they learned during the previous classroom training block. With the introduction of a comprehensive national certification exam (FAC-C/P exam) in 2023, we needed to help our interns better retain the information they learned during the academic training blocks while out on OJT. This use case is intended to combat learning loss during long periods of OJT, which may have a severely negative impact on interns’ ability to pass the FAC-C/P certification exam.

Expected benefits

Increased first time pass rate of taking the FAC-C/P certification exam. During the pilot year, the interns that used the software the most passed the certification exam at a rate of 94%, while those in the same class who used the software the least passed at a rate of 76%.

System outputs

The only outputs are the training use outputs (usage rates, mastery levels, knowledge gaps, etc.)

Technology

AI classification

Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.

System name(s)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported