Educational data science (EDS) is an emerging, interdisciplinary research domain that seeks to improve educational assessment, teaching, and student learning through data analytics. Teachers have been portrayed in the EDS literature as users of pre-constructed data dashboards in educational technologies, with little consideration given to them as…

While accountability in higher education has been a topic of debate for decades, in recent years the discussions have shifted to emphasize efficiency and economic measures of success. A prominent example of this accountability movement is the increase in popularity of performance funding policies. One of the most recent states to implement…

The purpose of this article is to inform researchers about and encourage the use of longitudinal designs to further understanding of human resource development and organizational theory. This article presents information about a variety of longitudinal research designs, related statistical procedures, and an overview of general data collecting…

This paper addresses a relatively unexplored area in the field of learning analytics: how analytics are taken up and used as part of teaching and learning processes. Initial steps are taken towards developing design knowledge for this "middle space," with a focus on students as analytics users. First, a core set of challenges for…

This paper draws on an ESRC-funded study of play and creativity in preschool-aged children's use of apps in the UK. The main objectives of the study were to collect information about access to and use of apps in the home, establish the most popular apps and identify the features of those apps that are successful in promoting play and creativity. A…

Adaptive learning gives learners control of context, pace, and scope of their learning experience. This strategy can be implemented in online learning by using the "Adaptive Release" feature in learning management systems. The purpose of this study was to use learning analytics research methods to explore the extent to which the adaptive…

Inquiry-based science education (IBSE) has been promoted as an inspiring way of learning science by engaging pupils in designing and conducting their own scientific investigations. For primary school teachers, the open nature of IBSE poses challenges as they often lack experience in supporting their pupils during the different phases of an open…

The National Forum on Education Statistics convened the Data Disaggregation of Racial/Ethnic Subgroups Working Group to identify best practices for disaggregating data on racial/ethnic subgroups. This guide is intended to identify some of the overarching benefits and challenges involved in data disaggregation; recommend appropriate practices for…

The study summarized in this research to practice brief, "Creating data-driven instructional systems in school: The new instructional leadership," Halverson, R., Grigg, J., Pritchett, R., & Thomas, C. (2015), "Journal of School Leadership," 25. 447-481, investigated whether student outcome improvements were linked to the…

This case study examines how Business-Higher Education Forum (BHEF) member Case Western Reserve University is integrating T-shaped skills into a minor in applied data science. Through the collaboration of its business and higher education members, BHEF launched the National Higher Education and Workforce Initiative to create new undergraduate…

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…

From 2011 to 2013, I accidentally studied US and Canadian teacher perceptions of standardized testing and its effects in the classroom. I had intended to study the role of equity issues in teacher practice; however, in conversation with teachers during initial semi-structured interviews in the United States, it became clear that understanding the…

SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error.…

This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and…

This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…