Delivering high-quality instruction grounded in evidence-based practices is one of the most important responsibilities of special education teachers. However, simply implementing effective evidence-based practices is not enough to ensure positive results; the practices must be implemented with fidelity (Cook & Odom, 2013). Although there are…

Faced with increasing demands for accountability, teachers are having to base their instructional decisions and choice of interventions on data on student performance. This book shows how to make this otherwise daunting task much more manageable by means of case studies and countless evidence-based forms and graphs. Although this book often refers…

This article discusses the role of assessment in a response-to-intervention model. Although assessment represents only 1 component in a response-to-intervention model, a well-articulated assessment system is critical in providing teachers with reliable data that are easily interpreted and used to make instructional decisions. Three components of…

We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…

The ongoing collection and documentation of evidence of students' performance in the classroom is a fundamental component of formative instructional practices, essential for ensuring student success. Multiple methods of collecting and documenting evidence of students' academic performance in the classroom are described. These methods include…

The developing field of academic analytics seeks to turn data from educational systems into actionable intelligence for the improvement of teaching and learning. This paper reports on the implementation of analytics in a new medical school with an integrated curriculum and clinical focus. Analytics addressed two challenges in the curriculum:…

Collecting and graphing performance data are important parts of the educational process. Such procedures help educators, caregivers, and other important stakeholders make data-based decisions to accelerate child progress. With school-age children, collecting and graphing data have been associated with more frequent instructional changes to better…

On a routine basis, educators collect data on their students' academic and social performance to make informed decisions regarding curricular and social instruction. The authors conducted a case study for a student with emotional and behavioral disorders. The student's teacher provided oral and visual feedback during reading instruction. Data…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

Boswell Center Psychotropic Medication Efficacy Graphs were developed to monitor the longitudinal effects of psychotropic medication on individuals with mental retardation, with less reliance on anecdotal recollections. Levels of maladaptive and prosocial behaviors, medication side-effects, and psychotropic medication were considered…

Although the process of doing social network analysis (SNA) is similar to traditional research and evaluation design, it is in the details that the two traditions diverge. This article describes two areas of differences: (1) the framework for doing SNA; and (2) data collection, analysis, and specific measures. SNA is about relationships and how to…

Methods that have been employed in McGill University's (Montreal, Quebec) program of research into the nature of learning are described. The methods illustrate four phases of inquiry: conceptualization or model-building; data gathering techniques; data representation; and data analysis. For the university's learning task project, the development…

The purpose of this manual is to serve as a guide for the professional supervisor of the Scales of Functional Independence of the Balthazar Scales of Adaptive Behavior (BSAB-I). The BSAB-I is based upon intensive and extensive observations of the eating, dressing, and toileting behaviors of the ambulant severely and profoundly mentally retarded,…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…