AI training glossary
128 terms explained in plain English.
A
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- FacilitationGuiding a group through discussion and activities so participants do most of the thinking, rather than delivering a lecture.Learning design
- Formative assessmentChecks during training that show what learners have understood so far, so the trainer can adjust. They are usually ungraded.Learning design
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- Learning objectiveWhat the trainer intends the training to achieve. The term is often used interchangeably with learning outcome; when the two are separated, objectives describe the trainer’s aims and outcomes describe what learners can show.Learning design
- Learning outcomeWhat a learner will be able to do after training, stated in observable terms.Learning design
- Learning pathwayA recommended sequence of courses or activities toward a goal, often different for each role or skill level.Learning design
- Lesson planA trainer’s plan for one session, setting out the outcomes, timing, activities, materials and how learning will be checked.Learning design
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- ScaffoldingSupport a trainer gives early on, such as templates, worked examples or step-by-step prompts, then removes as learners gain skill.Learning design
- Spaced repetitionReviewing material at increasing intervals over days or weeks, so it moves into long-term memory.Learning design
- Summative assessmentAn assessment at the end of training that measures whether learners met the outcomes, often used for certification.Learning design
T
- Training needs analysis(TNA)A review of the gap between the skills people have and the skills their work requires, done before designing training.Learning design
- Transfer of learningApplying what was learned in training to real work afterward. It is the main test of whether training worked.Learning design
Commonly confused terms
AI literacy is understanding what AI is and what it can and can’t do. AI fluency is the practical ability to work with it well on your own tasks. Literacy comes first; fluency comes from practice.
Upskilling improves how someone does their current job. Reskilling prepares them for a different job.
A workshop is hands-on: participants practice on real tasks. A masterclass is expert-led and deep on one topic, with more demonstration than practice. “Training” is the umbrella term for both.
An assistant responds to each request and waits for the next one. An agent takes a goal, plans the steps and uses tools to carry them out with less direction.
An outcome states what the learner can do afterward. An objective states what the trainer aims to achieve. Many organizations use the two interchangeably.
A certificate of completion shows someone finished a course. A certification shows they passed an assessment against a standard. Accreditation is when an external body approves the course or provider itself.
E-learning is delivered entirely through digital platforms. Blended learning combines online study with in-person sessions. Live online training is real-time and trainer-led over video.
A self-paced course runs on each learner’s schedule. A cohort-based course moves a group through together on fixed dates, with live sessions and peer discussion.