The following study explores the landscape of grading systems utilised in higher education, focusing on the frequency of different types of assessment scales (including Straight Letter, Plus/Minus, and other alternative policies). Although numerous studies have explored the relationship between university grading system and student behaviour,…

In this paper, we report results from a multisite, student-level randomized controlled trial that examined the impact of the Building Assets, Reducing Risks (BARR) model on ninth-grade students. The BARR model is a comprehensive, strength-based approach that uses eight interlocking strategies to build intentional staff-to-staff, staff-to-student,…

The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…

Purpose: The purpose of this paper is to use a heutagogical approach to determine whether students enrolled in blended courses achieve higher grades relative to those enrolled in completely online courses, in addition to identifying demographic predictors of academic success in college courses involving Web-based modes of instruction.…

This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…

The Building Assets Reducing Risks (BARR) Model BARR is a comprehensive model that addresses the challenges that are part of the 9th grade transition year. BARR employs eight different school-wide and individual strategies that are built on positive relationships and ongoing monitoring of student data. In 2010, BARR received an Investing in…

A method was developed for identifying students who may be at high risk for failing the State Board Licensing Examination (SBE) for registered nurses. The subjects used in developing prediction equations included 50 students who graduated from the nursing program at Saint Joseph's College (SJC) in North Windham (Maine) during the years 1983-84.…