Term explanation
Recall questions ask participants to retrieve and state information they have previously learned or been told. They test memory and knowledge retention rather than understanding or analysis. In training sessions and educational presentations, recall questions at the end of a segment can reinforce key points and check how much the audience has absorbed. While they don't assess deeper comprehension, they are an efficient tool for checking baseline knowledge and reinforcing core facts.
LIZ AI keeps the content of your presentations accurate over time. When recurring decks are automatically updated, the information your audience recalls from previous sessions stays consistent with current data.
Learn more →The outline view in PowerPoint shows a list with the whole text of all slides on the left of the screen. There are no images and graphics displayed in this view. It's useful for editing the presentation and can also be saved as a Word document.
Learn moreSmartArt is a built-in feature in Microsoft PowerPoint (and other Office applications) that converts text and data into visual diagrams — such as process flows, hierarchies, cycles, and relationship maps — with a single click. SmartArt removes the need to manually draw and align shapes, making it easy to create professional-looking visuals quickly. It is particularly useful for illustrating organizational structures, project workflows, and strategic frameworks in presentations.
Learn moreOpen educational resources (OER) are teaching, learning, and research materials that are freely available for anyone to use, adapt, and redistribute. OER include textbooks, course materials, videos, lesson plans, and assessments released under open licenses such as Creative Commons. The OER movement aims to reduce barriers to quality education by making materials accessible regardless of geography or financial means. Organizations and universities worldwide contribute to and maintain large repositories of OER.
Learn moreA large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically. In contrast, the Large Presentation Model (LPM) is a specialised AI system that orchestrates the entire presentation cycle in an enterprise context.
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