Potential Use of AI in Training
Analyzing workplace data to determine areas of need for training across the workforce.
Assuring training is impartial and non-biased.
Addressing accessibility needs.
Increasing completion rates by personalizing content in the learner’s preferred mode.
Reinforcing competencies beyond the training event.
Integrating training into day-to-day workflows.
Generating animations, visuals, and videos.
Synthesizing voice-overs.
Digitizing instructors and coaches.
Using adaptive assessments (knowledge checks, quizzes, tests) that immediately scale content to learners based on the formative assessment results.
Speeding the measurement of training effectiveness (against Kirkpatrick’s levels of training evaluation).
Generating adaptive content allowing learners to choose different learning paths.
Targeting support to learners using predictive analysis to prevent failure.
Shortening the learning process - AI can determine when competencies exist or are met so that unneeded courses or content can be bypassed.
Guiding learners’ career paths and learning plans.
Integrating AI into learning management systems to offer platforms with greater personalization of user experiences.
Customizing engagement and interactivities for learners including the use of psychologically stimulating concepts (competition, collaboration, gamification, etc.).
The use of AI in the training environment will lead to greater success for employees, increased professionalism of the workforce, and achievement of capacity for organizations to meet their missions.