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 →Microlearning delivers educational content in short, focused segments — typically between 3 and 10 minutes. Rather than completing a lengthy course, learners engage with bite-sized units that cover a single concept or skill. Microlearning is effective for knowledge reinforcement, mobile training, and just-in-time learning. It fits naturally into busy workdays and is widely used in corporate onboarding, compliance training, and professional development programs.
Learn moreA virtual audience consist of people who join an event / a meeting / a presentation via an electronic device (computer or smartphone) over the Internet. Each member may be located in a different place while an event takes place. Virtual audiences are becoming increasingly important as the amount of events held online is rising.
Learn moreHybrid learning combines in-person instruction with online or digital learning elements. Some students or participants engage physically in the same space as the instructor, while others join remotely or access content asynchronously. Hybrid learning offers flexibility and broader reach without fully replacing face-to-face interaction. It is widely used in universities, corporate training, and continuing education programs, particularly since remote-capable infrastructure became standard in many organizations.
Learn moreChain of thought is an AI reasoning technique in which a model explicitly works through intermediate steps before arriving at a final answer. By laying out its reasoning step by step, the model produces more accurate and reliable outputs — especially for complex, multi-part problems. In agentic AI systems, chain-of-thought reasoning is used to plan workflows and make decisions at each stage of an agent loop. For enterprise applications, it increases transparency and makes AI behavior easier to audit.
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