Computer Based Training (CBT)

Computer Based Training (CBT)

Term explanation

Definition and meaning

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.

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Other glossary terms

Interpersonal communication

Interpersonal communication refers to the exchange of information, meaning, and feeling between two or more people. It encompasses verbal and non-verbal signals and shapes relationships in both personal and professional contexts. Effective interpersonal communication involves active listening, empathy, clear expression, and the ability to read and respond to social cues. It forms the foundation of teamwork, leadership, customer relationships, and all forms of collaborative work.

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Audience Demographics

Audience Demographics are the characteristics of listeners like age, gender, cultural backgrounds, group affiliations and educational level. The speaker has to consider all these characteristics when adapting to an audience.

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Live Online Training (LOT)

Live online training is a synchronous learning format in which an instructor leads a session in real time via video conferencing or webinar platforms. Participants join from different locations and interact with the trainer and fellow learners through chat, polls, breakout rooms, and Q&A. Unlike pre-recorded e-learning, live online training maintains the immediacy and interactivity of in-person training while removing geographic barriers.

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Task Decomposition

Task decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.

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