Hybrid Learning

Hybrid Learning

Term explanation

Definition and meaning

Hybrid 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.

SlideLizard LIVE bridges the gap in hybrid learning: whether participants are in the room or joining remotely, they can engage with live polls, Q&A, and quizzes in real time through PowerPoint.

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Other glossary terms

Break-out-Room

In live online training, it is sometimes useful to divide the students into small groups for certain exercises, as it would be impossible to have conversations at the same time. Break-out-rooms are used so that people can talk to each other without disturbing the others. When the exercise is over, they are sent back to the main room.

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Impromptu Speech

A speech that is given without any preparation, notes, or cards, is called an impromptu speech. It is often delivered at private events (e.g., weddings or birthdays) or for training presentation skills.

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.ppt file extension

A .ppt file is a presentation created with Microsoft PowerPoint, containing slides with text, images, animations, and transition effects. The .ppt format is the legacy binary version of PowerPoint's native format, predating the XML-based .pptx format introduced with Office 2007. While .pptx has since become the standard, .ppt files remain widely supported for backwards compatibility across modern presentation software.

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Human-in-the-Loop (HITL)

Human-in-the-loop (HITL) refers to a design pattern in AI systems where a human is involved at specific decision points to review, approve, or correct the AI's actions before they are executed. Rather than running fully autonomously, the system pauses at predefined checkpoints and waits for human confirmation — particularly for high-stakes or irreversible actions. HITL works alongside AI guardrails as a key governance principle in enterprise Agentic AI, balancing the efficiency of automation with accountability and human judgment.

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