This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

This Center for American Progress report examines whether states' adoption of standards-based policies predicts low-income students' NAEP achievement trends in fourth and eighth grade math and reading throughout the 2003-2013 decade. The report claims to analyze changes across five separate two-year intervals, but it only reports findings for…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Adolescents' motivation is a critical factor for reading success. The lack of motivation adversely affects adolescents' abilities to enhance vocabulary and reading comprehension skills as well as developing powerful reading strategies (Roberts, Torgesen, Boardman, & Scammacca, 2008). Starting in the fourth grade, students' academic…