Term explanation
A learning chunk is a small, self-contained unit of educational content covering a single concept or skill. Chunking is a core principle of instructional design: breaking complex topics into manageable segments reduces cognitive load and improves retention. Learning chunks are the building blocks of microlearning programs and modular course structures, and work well in both digital and instructor-led training contexts.
Want to make your sessions more interactive? SlideLizard LIVE lets you embed quizzes and polls directly in PowerPoint. After each learning chunk, participants can test their understanding instantly on their own devices.
Learn more →A mix between in-person and virtual participants for an event or a lecture is called a hybrid audience. Working with a hybrid audience may be challenging, as it requires the presenter to find ways to engage both the live and the virtual audience.
Learn moreA personal response system (PRS) — also called an audience response system or clicker system — allows individual participants to respond to questions or vote in polls during a presentation or class. Each participant uses a handheld device or smartphone to submit their answer, and results are aggregated and displayed instantly. PRS technology is used in lectures, corporate training, and conferences to increase participation, gauge understanding, and make sessions more interactive.
Learn moreWeb-based training (WBT) refers to any structured learning program delivered via a web browser, without requiring software installation. WBT courses are accessible from any device with an internet connection, making them ideal for remote teams and distributed workforces. They typically include multimedia content, interactive exercises, and assessments. Web-based training is a subset of e-learning and is widely used for corporate training, compliance programs, and certification courses.
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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