Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…

The benefits of attending diverse schools accrue to children from all racial and socioeconomic backgrounds. The benefits include, but are not limited to, higher academic achievement. These gains continue into adulthood, leading to higher levels of social cohesion and civic engagement; reduced racial prejudice; and less segregation in…

This document includes guidance, considerations, and resources for state staff and local practitioners who are determining Preschool Special Education eligibility remotely, due in part to COVID-19. To accomplish this, many states are now exploring a variety of approaches such as teleconference, videoconference, and sharing information and video…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Valid and reliable measurements of teaching quality facilitate school-level decision-making and policies pertaining to teachers. Using nearly 1,000 word-to-word transcriptions of fourth- and fifth-grade English language arts classes, we apply novel text-as-data methods to develop automated measures of teaching to complement classroom observations…

The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…

The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…

As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…

Decades of research suggest that faculty play a critical role in student learning and success, yet at many institutions, faculty are not integrated into the institutional research function. This chapter examines how institutional research and faculty can collaborate to encourage data-informed faculty decision-making to drive student success and…

In this chapter, we explore the contexts within which institutional researchers must try to ensure the ethical use of data. We also identify challenges institutional research professionals can face when navigating college culture while trying to ensure the ethical use of data. Finally, we identify potential solutions for improving institutional…

With the emergence of big data as a strategic weapon in business, the need for hands-on activities in undergraduate courses is essential for preparing the next wave of technical talent. As the availability of programs in data analytics and data science grows based on market demands, the need for foundational technical skills is important to equip…

Download rates of academic journals have joined citation counts as commonly used indicators of the value of journal subscriptions. While citations reflect worldwide influence, the value of a journal subscription to a single library is more reliably measured by the rate at which it is downloaded by local users. If reported download rates accurately…

Higher education institutions often examine performance discrepancies of specific subgroups, such as students from underrepresented minority and first-generation backgrounds. An increase in educational technology and computational power has promoted research interest in using data mining tools to help identify groups of students who are…

The article shows the role of data mining methods at the stages of the e-learning risk management for the various participants. The article proves the e-learning system fundamentally contains heterogeneous information, for its processing it is not enough to use the methods of mathematical analysis but it is necessary to apply the new educational…

The increasing prevalence of learner-centred forms of learning as well as an increase in the number of learners actively participating on a wide range of digital platforms and devices give rise to an ever-increasing stream of learning data. Learning analytics (LA) can enable learners, teachers, and their institutions to better understand and…