Term explanation
Computer-based training (CBT) refers to self-paced educational programs delivered through software on a computer, without requiring an internet connection or live instructor. CBT packages typically include multimedia content, simulations, and assessments. This format was widely adopted in the 1990s and 2000s as an alternative to classroom training, offering consistency and repeatability. Today, CBT is largely succeeded by web-based training (WBT), though it remains in use where internet access is limited or security is a concern.
SlideLizard CREATOR manages your CBT slide content centrally — so training materials are always up to date, brand-consistent, and accessible to every team member directly inside PowerPoint.
Learn more →Audience dynamics refers to the behavioral and social patterns that emerge within a group of listeners during a presentation or event. This includes how energy, attention, engagement, and mood shift over time — and how individual participants influence the group. Understanding audience dynamics helps presenters adapt their pacing, tone, and content in real time. Factors such as group size, seating arrangements, time of day, and topic familiarity all affect the dynamic of a given audience.
Learn moreA persuasive presentation is designed to change the audience's opinion, attitude, or behavior. The presenter builds a case using evidence, logic, and emotional appeal to move the audience toward a specific conclusion or action. Persuasive presentations are common in sales pitches, political speeches, fundraising campaigns, and change management initiatives. They differ from informative presentations in that they take a deliberate position and actively seek buy-in.
Learn moreSocial events in companys can be to celebrate an anniversary or to bond better as a team. They should address the personal interests of employees and revolve around things like entertainment and food.
Learn moreGenerative AI refers to artificial intelligence systems that create new content — such as text, images, code, or structured data — in response to a prompt or task, rather than simply analyzing or classifying existing information. Powered by large language models and other foundation models, generative AI can write documents, summarize reports, produce slide content, and translate data into natural language. In enterprise settings, it is the core technology behind modern AI assistants, document automation tools, and presentation generators. A presentation-specific evolution of generative AI is the Large Presentation Model (LPM), which combines generative capabilities with enterprise context, brand guidelines, and the full presentation cycle.
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