- Natural Language Processing (NLP): AI techniques used to analyze text-based inputs.
- Needs Assessment: A comprehensive investigation phase involved in understanding contexts and identifying gaps to understand one or more challenges.
- Noise (Data): Extraneous information in raw data that may obscure meaningful patterns and requires filtering in data pipelines. (Engineers do not immediately dismiss outlier data as noise.)
- Noisy Learning Record Store (LRS): A storage system used to capture raw, unfiltered data directly from the learning environment, which may include irrelevant data points valuable for exploratory analysis.