Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…

Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…

As California State University (CSU) launches its Pregnant and Parenting Students Initiative to increase graduation rates for parenting students at its campuses and works to implement the Greater Accessibility, Information, Notice, and Support (GAINS) for Student Parents Act, an exciting window of opportunity has opened for student voice to inform…

Special education and related professionals often understand the importance of adhering to intervention procedures (i.e., fidelity), but may be less familiar with concepts of intervention intensity. In some cases, professionals may correctly apply an intervention, but with insufficient intensity. This can result in an intervention failing to…

This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…

Psychology and economics are powerful sources of expert knowledge in contemporary governance. Social and emotional learning (SEL) is becoming a priority in education policy in many parts of the world. Based on the enumeration of students' 'noncognitive' skills, SEL consists of a 'psycho-economic' combination of psychometrics with economic…

Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the…

This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…

The focus of this paper is learning the language of data science and statistics through the use of simple classroom activities. Many terms in statistics are known to be lexically ambiguous, having one meaning in general English conversation and another, more technical, meaning in statistical English. The main aim is to investigate whether the…

Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data…

For the appraisal of single-case intervention data, school psychologists have been encouraged to focus most, if not all, of their interpretive weight on the visual inspection of graphed data. However, existing software programs provide practitioners with limited features for systematic visual inspection. R (R Development Core Team, 2014) is a…

Low levels of student success in South Africa have persisted as a seemingly intractable problem. There have been some gains in student success over time, but with a participation rate of approximately 18%, the current success rates still represent massive financial and human losses to the country. Internationally there is a trend to move towards…

The purpose of this narrative synthesis of the curriculum-based measure (CBM) instructional utility literature is to deepen insight into the supports required to enrich teachers' instructional decision-making within curriculum-based measure-data-based individualization (CBM-DBI) in ways that enhance the learning outcomes of students with intensive…

Text Steps was a project piloted by Ascendium Education Group in 2015 and expanded to 13 school districts in Wisconsin between 2018 and 2020. Its goal was to combat summer melt through a texting program. Summer melt, in which college-intending high school students are unable to enroll in the fall for any number of reasons, is a well-documented…

Education practice often requires teachers and other school personnel to adapt interventions over time in order to address between-student heterogeneity in response to intervention (e.g., what works for one student may not work for the other) or within-student heterogeneity (e.g., what works now may not work in the future for the same student). An…