A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group…

Across the country, collaborative efforts are bringing together a variety of organizations that work with school-age children and youth, including out-of-school time programs and nonprofit service agencies, to improve educational outcomes in their communities. However, linking activities to outcomes can be a particular problem for nonprofit…

Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…

Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…