Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…

Background: This article reports on an evaluation study of a project seeking to develop the use of position-linked datalogging with primary pupils in environmental science contexts. Purpose: The study sought to find out the extent to which the project had developed: (1) participant teachers' confidence in using datalogging as an everyday part of…