The Arts Education Partnership's (AEP) Data Working Group first convened in 2023 to examine arts education data collection and reporting at the national, state, regional and local levels. The group's goal was to discover where data are being collected and reported and where gaps in data still exist. The group was especially interested in data that…

The purpose of this study was to examine administrators' use of data, their perceptions of data, and what their expectations were in terms of teacher use of data. In conjunction with this examination will be a closer look at the new Professional Standards for Educational Leaders (PSEL) to determine the connections as well as the disconnections to…

An important element of STEAM education that teachers struggle with is the adoption and application of digital technologies. Digital technologies have the potential to enhance social inclusion and student-centred learning, and for this reason it is important for teachers across all levels of schooling to develop skills and confidence in this area…

Activities using volunteered geographic information (VGI), geospatial data generated by nonprofessionals, provide an instructional approach that allows participants to work with big data--large, complex data sets--in a noncompetitive, cooperative environment. Research suggests that humanitarian mapping activities offer an effective means of…

Federal law requires states and school districts to institute accountability systems that report disaggregated student data to ensure that all children make academic progress. However, one of the mandated categories for disaggregation -- English Learner (EL) -- is reported as a single group despite representing students who are beginning,…

When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform…

The use of big data in higher education has evolved rapidly with a focus on the practical application of new tools and methods for supporting learning. In this paper, we depart from the core emphasis on application and delve into a mostly neglected aspect of the big data conversation in higher education. Drawing on developments in cognate…

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…

Although it is frequently claimed that learning analytics can improve self-evaluation and self-regulated learning by students, most learning analytics tools appear to have been developed as a response to existing data rather than with a clear pedagogical model. As a result there is little evidence of impact on learning. Even fewer learning…

The move to focus on Pacific indigenous research methodologies and methods is a complex yet ongoing experience for researchers of Pacific heritage. The relational positionalities of Pacific researchers allow a move away from a dual or binary perspective of one's research responsibilities to a more fluid understanding of what it means to do…

The purpose of this article is to advocate for an expansion of third-space ideology to the research conducted in clinical teacher preparation programs including research designs and methods of data collection. Clinical teacher preparation has been advocated since the 1980s and is now being systematically realized in the early 21st century. Thus,…

Data analytics in higher education provides unique opportunities to examine, understand, and model pedagogical processes. Consequently, the methodologies and processes underpinning data analytics in higher education have led to distinguishing, highly correlative terms such as Learning Analytics (LA), Academic Analytics (AA), and Educational Data…

This study investigates the correlation between three data gathering methods for uncovering differences in secondary school students' text-learning strategy use. In total, 56 secondary school students' text-learning strategies were assessed with (a) a task-specific self-report inventory, (b) think-alouds protocols, and (c) the trace methodology.…

This study aims to design and develop a Cashless Payment System with Automatic Identification and Data Collection (AIDC) technology in an educational institution in the Province of Nueva Ecija, Philippines to understand the processes and activities undertaken to develop the project. It utilizes a descriptive and developmental method of research…