Research-intensive institutions rely on specialized central offices to support research administrators and investigators through various processes and requirements. This helps researchers successfully and compliantly conduct and manage research. However, when these support offices communicate their processes and resources from disparate locations,…

Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…

The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student-centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students…

The implementation of Multi-Tiered System of Supports (MTSS) has been successful in multiple elementary systems across the United States. Providing three tiers of support for students struggling academically, social-emotionally, and behaviorally in the classroom setting and created success for many students until they reach the secondary level,…

The implementation of Multi-Tiered System of Supports (MTSS) has been successful in elementary systems across the United States. For secondary schools, the implementation of MTSS has not been as successful. Secondary teachers often note difficulties include understanding data from different sources, what sources are available, and how it applies…

The DaSy Center supports all 56 U.S. states and territories and provides individualized and cross-state technical assistance (TA) on data linking and integration. Early intervention (Part C) and early childhood special education (Part B 619) state programs are interested in linking their data to address critical questions about program quality in…

The application of corpus to language instruction encouraged the use of data-driven learning (DDL). It is assisted by computer technology, and uses authentic language data as the basis for language instruction. Previously conducted studies have paid little attention to the use of corpus tools in speaking instruction. Thus, this study aimed to…

Data visualizations have proliferated throughout the COVID-19 pandemic to communicate information about the crisis and influence policy development and individual decision-making. In invoking exponential growth, mathematical modelling, statistical analysis, and the like, these data visualizations invite opportunities for mathematics teaching and…

There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…

Background: To enable all students to reach their full potential, teachers have to adapt their instruction to students' varying needs. In order to do this, teachers need to engage in activities associated with formative assessment, as well as those associated with differentiation. However, both of these types of activities are, in themselves,…

In the digital age, where every click, purchase, or activity is systematically recorded, it is surprising to discover how difficult it still is to assemble crime data. This paper describes available web-based crime mapping services and discusses some of the key advantages and disadvantages of using this source for both general purposes and…

We assess the case for a decline in the use of survey data in the social sciences during a period in which conventional survey research has faced existential challenges to its ongoing feasibility and growing competition from new forms of 'Big Data'. Presser (1983) and Converse (1987) undertook content analysis of articles published in a set of…

This paper responds to some recent discussions in the Journal about how interview data can be used. While recognising the value of detailed analysis of the discourse employed in interviews to identify its formal features, it is argued that such analysis is not essential for all the purposes for which interview data can be employed in social…

We centrally consider the question of what interview data can be used to 'say' through a dialogue with advocates of the 'radical critique' of interview studies. We propose that while the critique has considerable utility in drawing to 'the social life of interviews' and the pervasiveness of notions of the 'romantic subject', it simultaneously goes…

Adaptive teachers use student data to guide instruction. Learn about using an anecdotal record form to support adaptive teaching. In this article, the authors describe how teachers can use learning trajectories to make adaptive decisions to meet the needs of their students. They provide an example using the U .S. Math Recovery Council's learning…