When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

This research aims to develop a student data management system at 9 Tapung Junior High School (SMP) Negeri 9 Tapung, which has not documented using a computer or school web using text-based programming languages like HTML, JavaScript, CSS, and PHP. The student information system design at SMP Negeri 9 Tapung in its manufacture uses a literacy…

This study aims to develop a list of technological enhancements to a financial aid analytics application (F3A) designed to assist higher education leaders in gaining actionable insights for decision-making with grants optimization. This research utilizes the Design Science Research framework which highlights the design and evaluation of an IT…

The benefits of making data-informed decisions to improve learning rely on educators correctly interpreting given data. Many educators routinely misinterpret data, even at districts with proactive support for data use. The tool most educators use for data analyses, which is an information technology data system or its reports, typically reports…

As momentum grows for tracking the role of individual educators in student performance, school districts across the country are implementing projects that involve linking teachers to their students. Programs that link teachers to student outcomes require a verification process for student-teacher linkages. Linkage verification improves accuracy by…

Nationwide, states and districts are implementing programs that involve linking teachers with student data. These initiatives range from educator evaluation systems that consider student growth to data-driven professional development decisions and large-scale program evaluations. Establishing accurate links is crucial in any initiative that links…

This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…

The American Recovery and Reinvestment Act (ARRA) provides several funding opportunities that can assist states in designing, developing, and implementing statewide education longitudinal data systems. These new and enhanced information systems will enable states to track student progress within and across the secondary and postsecondary education…