The scenarios that illustrate each chapter come from two case studies, one based on a K-8th grade scenario and the other a 9th-12th grade setting. Data Wise grounds its discussion in examples from those contexts, keeping the material accessible and focused on realistic problems and solutions. Data Wise's process depends on collaboration and full faculty participation. With a sympathetic understanding of the inevitable limits on staff time, the authors discuss the best ways to structure collaborative faculty time and include three protocols to involve faculty and staff in gaining insight from data.
longlymill on 18 Dec 24The materials are dropped by gravity from the ton bag feeding station/dust-free feeding station and put into the metering bin through the iron remover. After precise weight loss measurement, the materials are fed into the premixing tank. After full stirring, the material enters the bead mill. After coarse grinding and dispersion, fine grinding and dispersion are carried out before demagnetization.
