Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

This study aimed to extend previous literature comparing continuous methods of data collection to estimation data, but this time implementing the data collection procedures within a group discrete trial teaching format with three individuals diagnosed with autism spectrum disorder. Group discrete trial teaching was conducted in a classroom setting…

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 paper outlines the development of practical measures of productive persistence using digital learning system data. Practical measurement refers to data collection and analysis approaches originating from improvement science; productive persistence refers to the combination of academic and social mindsets as well as learning behaviours that…

This paper reports on a study that adopted a systematic approach to school-level early warning. The study examined areas where research consistently shows schools commonly experience decline: (1) leadership stability; (2) talent management; (3) organizational culture; (4) financial operations; and (5) instructional programming. Rather than relying…

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…

Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…

The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…

Objective: This study examines the psychometric properties of the revised Perceived Social Competence Scale (PSCS), a brief, user-friendly tool used to assess social competence among youth. Method: Confirmatory factor analyses (CFAs) examined the factor structure and invariance of an enhanced scale (PSCS-II), among a sample of 420 youth.…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

For identifying children with four major kinds of verbal learning disabilities viz. reading disability, speech and language comprehension disability, writing disability and mathematics disability, the present task was undertaken to construct and standardize verbal learning disabilities checklist. This checklist was developed by keeping in view the…

Out-of-school time (OST) youth programs are inherently difficult to assess. They are often very dynamic: Many youth interact with one another and with staff members in various physical environments. Despite the challenge, measuring quality is critical to help program directors and policy makers identify where to improve and how to support those…

Context: Instrument validation is an important facet of survey research methods and athletic trainers must be aware of the important underlying principles. Objective: To discuss the process of survey development and validation, specifically the process of construct validation. Background: Athletic training researchers frequently employ the use of…

The purpose of this study was to determine whether a standardized test of music aptitude developed for American children yields results, which may have valid interpretation when used with 5-year-old Korean children. The specific questions regarding the Primary Measures of Music Audiation (PMMA) norms were: (1) Does PMMA when used with 5-year-old…