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 →Process questions ask participants to explain how something works, how a decision was made, or how a result was reached — rather than simply what the answer is. They focus on reasoning, methodology, and the steps taken to arrive at an outcome. In training, coaching, and facilitated workshops, process questions help participants reflect on their thinking and deepen their understanding. They are more cognitively demanding than recall questions and are effective for developing critical thinking and problem-solving skills.
Learn moreVerbal communication is the use of spoken or written language to convey information, ideas, or feelings. It is one of the most fundamental forms of human interaction and encompasses everything from casual conversation to formal speeches, presentations, and written documents. In professional contexts, effective verbal communication requires clarity, appropriate vocabulary, active listening, and sensitivity to tone and context. Strong verbal communication skills are consistently ranked among the most valuable competencies in the workplace.
Learn moreAI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.
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