Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 14 |
Descriptor
Data Analysis | 14 |
Intervention | 14 |
Progress Monitoring | 14 |
Data Collection | 8 |
At Risk Students | 3 |
Barriers | 3 |
Goal Orientation | 3 |
Program Implementation | 3 |
Student Behavior | 3 |
Student Evaluation | 3 |
Academic Achievement | 2 |
More ▼ |
Source
Author
Barczak, Mary | 1 |
Ben Bryant | 1 |
Briesch, Amy M. | 1 |
Bruhn, Allison L. | 1 |
Crowson, H. Michael | 1 |
Daniels, Brian | 1 |
Estrapala, Sara | 1 |
Fernanda Luna | 1 |
Filderman, Marissa J. | 1 |
Frazelle, Sarah | 1 |
Gallagher, Kerry | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Reports - Descriptive | 8 |
Reports - Research | 5 |
Dissertations/Theses -… | 1 |
Guides - Non-Classroom | 1 |
Tests/Questionnaires | 1 |
Education Level
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Higher Education | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Postsecondary Education | 2 |
Secondary Education | 2 |
Grade 7 | 1 |
High Schools | 1 |
Audience
Practitioners | 2 |
Teachers | 1 |
Location
Alabama | 1 |
Caribbean | 1 |
Latin America | 1 |
Louisiana | 1 |
Massachusetts | 1 |
Minnesota | 1 |
Missouri | 1 |
New York | 1 |
North Carolina | 1 |
South Dakota | 1 |
Tennessee (Nashville) | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kuntz, Emily M.; Massey, Cynthia C.; Peltier, Corey; Barczak, Mary; Crowson, H. Michael – Teacher Education and Special Education, 2023
Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…
Descriptors: Graphs, Preservice Teachers, Accuracy, Decision Making
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Gray, Cameron C.; Perkins, Dave; Ritsos, Panagiotis D. – Assessment & Evaluation in Higher Education, 2020
The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…
Descriptors: Educational Research, Data Collection, Data Analysis, Visual Aids
Pistilli, Matthew D. – New Directions for Higher Education, 2017
The implementation of analytics in support of student success requires effective use of feedback and interventions, as well as a system by which the use of feedback and institutional supports can be tracked and evaluated.
Descriptors: Educational Research, Data Analysis, Academic Achievement, Intervention
Ben Bryant; Simon Day – UK Department for Education, 2023
This research was commissioned as part of Inclusive Britain, the government response to the Commission on Race and Ethnic Disparities (CRED). The research sought to answer three main questions: (1) Where schools and trusts have closed attainment gaps between pupils from different ethnic groups, has this been the result of a deliberate strategy…
Descriptors: School Role, Achievement Gap, Racial Differences, Ethnicity
Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
Posey-Maddox, Linn – Gender and Education, 2017
Few studies have explored the engagement of fathers in children's schooling. Understanding the role that black fathers, in particular, play in their children's education is both important and timely given the persistent opportunity gaps faced by many black students in the US and the influential role that black fathers can play in their children's…
Descriptors: Suburban Schools, Parent Participation, Fathers, African American Students
Patterson, Pamela C. – ProQuest LLC, 2015
North Carolina has increased the math course requirements for graduation and the rigor of standards students are expected to master at each grade level. Richmond County School students have consistently lagged behind the state average on the North Carolina End-of-Grade assessment in grades three through eight, an assessment used to determine grade…
Descriptors: Program Evaluation, Intervention, Mathematics Education, Elementary Secondary Education
van Leeuwen, Anouschka – Journal of Learning Analytics, 2015
Learning analytics (LA) are summaries, visualizations, and analyses of student data that could improve learning in multiple ways, for example by supporting teachers. However, not much research is available yet concerning how LA may support teachers to diagnose student progress and to intervene during student learning activities. There is evidence…
Descriptors: Data Collection, Data Analysis, Student Evaluation, Cognitive Processes
Briesch, Amy M.; Hemphill, Elizabeth; Daniels, Brian – School Psychology Forum, 2013
Class-wide interventions have been effectively used as a primary level of support to increase student engagement, but the management of these interventions can quickly become burdensome for busy classroom teachers. To address this problem, this study combined a class-wide self-management intervention, in which the students were responsible for…
Descriptors: Self Management, Intervention, Student Behavior, Self Evaluation (Individuals)
Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
Hanes, Susan; Kerins, Thomas; Perlman, Carole; Redding, Sam; Ross, Steven – Building State Capacity and Productivity Center, 2013
The Building State Capacity and Productivity (BSCP) Center released a report outlining a process for state education agencies (SEAs) to evaluate and improve their System of Recognition, Accountability, and Support (SRAS). The federal government now sets high expectations for state and local use of federal dollars while allowing greater state…
Descriptors: Performance, Performance Based Assessment, Accountability, Scoring Rubrics