A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)

Three tests were developed in the Canadore Comprehensive Achievement Monitoring (CAM) project in the area of mathematics. The Canadore CAM Monitoring Tests were used to obtain an estimate of knowledge of objectives on a preinstruction, postinstruction and retention basis. The Math Survey Tests were used to place a student at the appropriate point…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…