The purpose of this study was to explore how teachers engaged in data use for instructional decision making. A grounded theory research design was used to analyze interviews of 10 special education teachers. Special education teachers were asked to complete an online survey and were interviewed with questions to reveal their experiences with…

Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…

This study aimed to address the state of data driven decision practices within the Division of Student Affairs at South County College. Framed by an exploratory qualitative case study, this project conducted semi-structured interviews of directors of student affairs and a document analysis of annual reports of the seven departments that constitute…

In an effort to best support student learning, school districts are seeking the most effective means of improving instruction while effectively addressing student inequities. As the focus on accountability intensifies, the use of data is paramount. Access to data alone, does not ensure quality, data-driven instruction. The lack of teacher…

Higher education instructors constantly rely on educational data to assess and evaluate the behavior of their students and to make informed decisions such as which content to focus on and how to best engage the students with it. Massive open online course (MOOC) platforms may assist in the data-driven instructional process, as they enable access…

Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…

This mixed-methods study examined K-5 teachers' perceptions of using data to inform their instruction, uncovered factors that affect their capacity for understanding data, and described how both of these factors may relate to school improvement. The study outlined factors that supported or impeded teachers' use of data when making instructional…

This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

This study examines the characteristics, challenges, and strategies of school leadership in Cambodian high schools, with a focus on leadership in resource-constrained settings. Using a qualitative case study approach, the research investigates how principals in six northwestern provinces implement leadership practices to improve educational…

The purpose of this study was to examine the factors that influence the use of institutional assessment in support of student outcomes at four-year public institutions of higher education. This study focused on small institutions, defined as having enrollment below that of the median value, across the nation. An electronic survey was sent to chief…

Achievement in mathematics, particularly in advanced mathematics courses (such as trigonometry, precalculus, calculus, or Advanced Placement courses), is important for long-term college and career success. However, many students--particularly students who are Black, Hispanic, or from low-income households--do not have access to advanced…

Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…

In April 2021, the Midwestern Higher Education Compact (MHEC) convened a working group of institution, state, and national leaders to help advise its efforts to develop a set of principles to improve consistency and reliability in the field for measuring cost savings and the return on investment (ROI) of open education resources (OER). The result…

There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…