Research disclaimer
Published research supports the instructional and workforce rationale behind OT-Praxis. These external studies are not results from the OT-Praxis platform. Pilot outcomes will be measured directly through learner assessments, scenario performance, reflection, transfer, and faculty review.
nist-manufacturing-framework-235-ksasThe broader NIST Manufacturing USA Occupation and Competency Framework represents 235 knowledge, skills, and abilities.
- Authors
- Joseph Long, Brad Conrad, Amelia Stephens, Aaron Bell, Jeremiah Forshey, Robert Foy, and Ashley Smith-Schoettker
- Year
- 2026
- Locator
- NIST AMS 600-20, abstract, PDF p. 4
- Qualification
- OT-Praxis maps to a selected subset of the framework and does not claim to cover all 235 KSAs.
nist-manufacturing-framework-132-occupation-entriesThe broader NIST framework contains 132 occupation entries, representing 99 unique occupation names.
- Authors
- Joseph Long, Brad Conrad, Amelia Stephens, Aaron Bell, Jeremiah Forshey, Robert Foy, and Ashley Smith-Schoettker
- Year
- 2026
- Locator
- NIST AMS 600-20, abstract and occupation analysis, PDF pp. 4 and 14
- Qualification
- The publication reports 132 occupation selections across institutes and clarifies that these correspond to 99 unique occupation names.
nist-digital-automation-104-essential-ksasOne or more Digital/Automation occupations selected 104 KSAs in the broader NIST analysis.
- Authors
- Joseph Long, Brad Conrad, Amelia Stephens, Aaron Bell, Jeremiah Forshey, Robert Foy, and Ashley Smith-Schoettker
- Year
- 2026
- Locator
- NIST AMS 600-20, Table 1, PDF p. 15 (report p. 6)
- Qualification
- OT-Praxis maps to a selected subset of these competencies; this figure describes source-framework selections, not OT-Praxis coverage.
mck-ai-fluency-demand-13-6x13.6× growth in demand for AI-fluency skills over three years
- Source
- AI fluency: The next foundation of US economic competitiveness
- Authors
- Alexis Krivkovich, Brooke Weddle, and Maurice Obeid
- Year
- 2026
- Locator
- PDF p. 3, exhibit
- Qualification
- McKinsey market research based on Lightcast, US Bureau of Labor Statistics, and McKinsey Global Institute analysis; not an OT-Praxis outcome.
mck-ai-fluency-definitionAI fluency includes deciding what to delegate, verifying outputs, escalating consequential decisions, retaining human accountability, and adapting as tools change.
- Source
- AI fluency: The next foundation of US economic competitiveness
- Authors
- Alexis Krivkovich, Brooke Weddle, and Maurice Obeid
- Year
- 2026
- Locator
- PDF pp. 2–4
kolb-experiential-cycleExperiential learning connects concrete experience, reflective observation, abstract conceptualization, and active experimentation in a continuing learning cycle.
- Authors
- David A. Kolb
- Year
- 2015
- Locator
- Chapter 2, pp. 31–64; learning cycle discussion pp. 50–61
eyler-reflection-assessment-transferExperience becomes learning through curricular connection, continuous feedback, structured reflection, assessment, application, and active faculty oversight.
- Authors
- Janet Eyler
- Year
- 2009
- Locator
- Liberal Education 95(4), pp. 24–31; especially pp. 29–31
agi-synthetic-practiceAs routine entry-level work becomes more automated, structured synthetic practice may become increasingly important for developing the judgment needed to supervise and verify intelligent systems.
- Authors
- Christian Catalini, Xiang Hui, and Jane Wu
- Year
- 2026
- Locator
- arXiv v2, extended abstract and §§3.1, 4, 5.3, 8.1; especially PDF pp. 2, 9, 22, 45, 73–74
- Qualification
- A theoretical economic model and argument, not settled empirical evidence or an OT-Praxis result.
The attached source PDFs were used for research review and are not published by this website. Links above point to legitimate publication records where available.