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Spacing effect

The empirical finding, documented since Ebbinghaus's 19th-century research and replicated across domains, that active recall at increasing time intervals produces substantially more durable retention than massed re-reading of the same material (Roediger and Karpicke, Psychological Science, 2006). Operational implementation: recall at two days, five days, and two weeks after initial study.

Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Foundations of Robotics and Physical AI.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Foundations of Robotics and Physical AI

The empirical finding, documented since Ebbinghaus's 19th-century research and replicated across domains, that active recall at increasing time intervals produces substantially more durable retention than massed re-reading of the same material (Roediger and Karpicke, Psychological Science, 2006). Operational implementation: recall at two days, five days, and two weeks after initial study.

Engineering Judgment and Professional Formation

The finding, with roots in Ebbinghaus's nineteenth-century forgetting-curve research and confirmed at scale by Cepeda, Pashler, Vul, Wixted, and Rohrer's 2006 meta-analysis, that distributing study of the same material across multiple separated sessions produces stronger long-term retention than massing the same total study time into one session.

Certified AI Practitioner: Workplace Foundations

The robust finding that the same total practice produces more durable learning when distributed across multiple sessions over time than when crammed into one (massed) session.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Spacing effect starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Designs role-based AI training that measures skill, not attendance, with approved-use guidance, office hours and communities of practice.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“learning and development”“adult learning”“ai literacy program”“training”“enablement”“curriculum”

Where the frameworks place it: EU AI Act Article 4; DOL AI Literacy Framework.

One interview question about it

Design AI literacy training for a workforce of mixed skill. Who learns what, and how do you know it worked?

Asked of candidates for ai literacy training and enablement design. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.