Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…

The archive is a cultural institution that creates a framework for the social and collective memory and as such is one of the collection of knowledge institutions that not only preserves and classifies "texts" but uses them to re-create collective memory and sometimes to invent cultural histories. Like all knowledge institutions, the…

The purpose of this study was to investigate the effect of a heart rate measurement system on student motivation and parent satisfaction of the information obtained. Participants (n=27) either took a survey as a parent/guardian (n=11) or were interviewed as a student (n=16). The survey was based on a qualitative measure and used to determine the…

As schools and teachers utilize data-driven decision-making processes to identify and remediate struggling students, systemic conditions that contribute to students' learning opportunities are often ignored. This longitudinal mixed-methods study examines the use of an equity audit as a critical data-driven decision-making tool in a graduate course…

California enacted the Local Control Funding Formula (LCFF) in 2013-14 in an effort to simplify school finance, revamp accountability, and increase funding for high-need students--those who are low income, English Learners, homeless, and/or foster youth. The LCFF represents an overhaul of the previous system of K-12 school finance that had been in…

In today's evolving economy, state policymakers, education leaders, workforce system leaders and employers are all looking for opportunities to meet rapidly changing workforce needs. Economists project that shortages of workers with postsecondary education -- some college, an associate degree, bachelor's degree or higher -- could lead to nearly…

Concordance-based Data-Driven Learning (DDL) aims to help second language learners infer language usage rules from language usage regularities. A number of DDL pedagogical treatments have focussed on phraseological units such as collocations, widely recognised as a central component of second language learning. This study evaluates DDL effects…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

This study identified the impact of elementary teachers' perceptions and the change that data-driven instruction had on student achievement on the Measures of Academic Progress (MAP) assessment in English language arts and mathematics in an urban elementary charter school. The researcher secured an inner-city charter school in Tennessee to…

The primary purpose of the District Capacity Assessment (DCA) is to assist school districts to implement effective innovations that benefit students. The "capacity" of a district to facilitate building-level implementation refers to the systems, activities, and resources that are necessary for schools to successfully adopt and sustain…

In 2017, Education Scotland introduced a new model of inspection of local authorities. These inspections focused on how well the nine challenge authorities within the Scottish Attainment Challenge are improving learning, raising attainment and closing the poverty-related attainment gap. HM Inspectors carried out the nine inspection visits between…

The widespread adoption of online courses opens opportunities for analysing learner behaviour and optimising web-based learning adapted to observed usage. Here, we introduce a mathematical framework for the analysis of time-series of online learner engagement, which allows the identification of clusters of learners with similar online temporal…

Using assignments drawn from a first-year composition course that centers the Southern Life Histories Collection, part of the New Deal's Federal Writers' Project, this paper argues for a pedagogical approach that teaches students digital literacy through archival rhetorics by converting archival texts into data.

Using data to inform instructional decisions is a pillar of special education practice. Curriculum-based measurement (CBM) is a systematic, ongoing assessment framework that allows special educators to monitor the progress of their students to determine the need for instructional adaptations. CBM and data-based instructional decision-making have a…

Despite some recent criticism, the idea of language interpreting in anthropological (among others) field research seems still firmly rooted in classical anthropology where the interpreter was an obstacle and necessary evil rather than aid. We surveyed anthropologists conducting field research in Arab League countries to describe their practices…