Term explanation
A student response system (SRS) is a technology that allows students to respond to questions or polls during a class or presentation using personal devices or dedicated clickers. Responses are collected and displayed in real time, giving instructors immediate insight into comprehension levels and enabling on-the-spot adjustments to pacing or content. Student response systems improve engagement, reduce passive listening, and make large group instruction more interactive.
SlideLizard LIVE is a full student response system built directly into PowerPoint. Students respond to polls and quizzes from any device, you get honest anonymous feedback in real time, and every session becomes more engaging.
Learn more →Slide transitions are visual effects that play when moving from one slide to the next during a PowerPoint presentation. They range from simple fades and cuts to more elaborate animations like wipes, pushes, and morph effects. Used thoughtfully, transitions can reinforce the flow of a narrative and add polish to a presentation. Overusing dramatic transitions, however, can distract from the content. Consistency — using the same transition style throughout — is generally recommended for professional presentations.
Learn moreComputer-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.
Learn moreA 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.
Learn moreAn orchestrator agent is a specialized AI agent that coordinates and directs the work of other agents — rather than executing tasks directly itself. In a multi-agent system, the orchestrator receives a high-level goal, uses task decomposition to break it into subtasks, assigns them to specialist agents, monitors progress, and assembles the final output. This pattern enables reliable automation of complex, multi-step enterprise workflows.
Learn more
