Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…

This chapter illustrates two campus processes that utilized student-level data management systems, such as student record systems, assessment platforms, and comprehensive student records, to assess student outcomes relevant to campus missions, goals, and learning outcomes.

Objectives: Building on what is known about the non-random nature of crime problems and the explanatory capacity of opportunity theories of crime, this study explores the utility of using existing university administrative data to detect unusual patterns of performance consistent with a student having engaged in contract cheating (paying a…

There is a critical need to develop new educational technology applications that analyze the data collected by universities to ensure that students graduate in a timely fashion (4 to 6 years); and they are well prepared for jobs in their respective fields of study. In this paper, we present a novel approach for analyzing historical educational…

Interior immigration enforcement in the U.S. has rapidly increased over the past two decades, including increased Immigration and Customs Enforcement (ICE) activity and the revival of workplace raids under the Trump administration. We contribute to the body of research that aims to better understand the consequences of immigration enforcement for…

This annual report provides information for the 2021-22 school year on grade-level retention and student performance in the Texas public school system. Student retention and promotion data are reported with data on the performance of students in Grades 3-8 on the State of Texas Assessments of Academic Readiness (STAAR) reading and mathematics…

The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…

"Data security" describes the protections in place to prevent unauthorized access to or acquisition of personal student and staff information. A school district's data security measures might include keeping student and staff personal data in locked filing cabinets, and limiting access to those filing cabinets to people within the school…

In this paper we analyze the extent to which a mandated kindergarten assessment predicts 3rd grade outcomes, and the academic progression for students from 3rd grade to high school. We find that the kindergarten assessment strongly predicts 3rd grade outcomes, with the math skills assessment being especially predictive of 3rd grade academic…

A variety of strategies and tools are used to assess students' learning on an ongoing basis in the context of everyday classroom experiences. Assessment information provides the foundation for decision making and planning for instruction and learning. This paper discusses about using Anecdotal Records as a tool to observe students' progress in the…

According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the…

The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…

Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…

After the First World War, the second generation of headmistresses were working in a Britain in which the secondary education of girls was generally accepted. In 1920, Phyllis Monk, a former Blackheath student and Roedean teacher, was appointed to take charge of Chorleywood College, a new secondary school for girls with a vision impairment. She…

We study the effect of exposure to immigrants on the educational outcomes of US-born students, using a unique dataset combining population-level birth and school records from Florida. This research question is complicated by substantial school selection of US-born students, especially among White and comparatively affluent students, in response to…