Resources for automotive educators
Guides for Automotive Programs.
Practical content for automotive program instructors, department chairs, and CTE coordinators, on accreditation, LMS integration, diagnostic training, and running a program that produces job-ready graduates.
The three kinds of tools programs evaluate (simulation, generic field-service, and professional shop apps), the six criteria that actually matter, and the questions to ask a vendor before you sign.
What FERPA actually requires when you adopt a third-party classroom tool, the data-privacy questions to ask every vendor, and why there is no such thing as FERPA certification.
Why students trained on simulators arrive at their first shop unprepared for real software and digital workflows, and how training on professional tools closes the gap without new equipment.
Observation-based grading leaves no paper trail. What belongs in a defensible competency record, and how timestamped digital submissions settle disputes and support accreditation evidence.
The 2017 rebrand from NATEF to the ASE Education Foundation still confuses program directors and instructors. What actually changed, what stayed the same, what the updated task lists include, and what it means for your curriculum software decisions today.
Every major automotive curriculum platform uses simulations for diagnostic training. Here's the research case for real OBD2 data from actual vehicles, and what it produces in students on day one of the job.
What is LTI 1.3 and why does the version number matter? What to ask vendors before you sign. How Canvas, Blackboard, Moodle, and D2L all handle it differently.
An honest side-by-side comparison of the four most widely used automotive curriculum platforms, evaluated on LTI version, diagnostic approach, ASE alignment, pricing model, and post-graduation access.
A practical guide to framing curriculum software as a qualifying Perkins V expenditure, including the language reviewers look for.
As hybrid and electric vehicles enter automotive programs, simulation libraries can't keep up with real vehicle data. Here's how to bridge the gap.
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