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Data Quality Campaign, 2024
Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…
Descriptors: National Competency Tests, Academic Achievement, Elementary Secondary Education, At Risk Students
Nachouki, Mirna; Naaj, Mahmoud Abou – International Journal of Distance Education Technologies, 2022
The COVID-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students' learning behavior, affecting their overall performance. Thus, students' academic performance needs to be meticulously monitored to help institutions identify students at risk of academic failure, preventing them…
Descriptors: Academic Achievement, Academic Advising, College Students, Classification
Ishtiaque Fazlul; Cory Koedel; Eric Parsons – Brookings Institution, 2024
There have been substantial advances in the development of states' education data systems over the past 20 years, supported by large investments from the federal government. However, the availability of modern data systems has not translated into meaningful improvements in how consequential state policies, such as funding and accountability…
Descriptors: At Risk Students, Public Schools, Elementary Secondary Education, Academic Achievement
Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
National Center for Education Evaluation and Regional Assistance, 2023
Education officials have long hoped that the statewide academic assessments most students take each year could be used not only for accountability but also to guide instruction. Congress established the Innovative Assessment Demonstration Authority (IADA) program in 2015 to help address this goal, offering up to seven states flexibility from…
Descriptors: Program Evaluation, Program Implementation, Testing Programs, State Programs
Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
Council for Adult and Experiential Learning, 2021
Many postsecondary institutions already recognize that adults comprise a significant portion of their student body -- or they may be starting to recognize the potential for serving more adults as they face declining enrollments from their traditional student pipelines. These institutions realize that they should have programs and services in place…
Descriptors: Data Use, Adult Students, Adult Learning, Academic Achievement
NWEA, 2019
When Dr. Tonya Williams set out to improve the assessment program for the Georgia Leadership Preparatory Academy, she knew she had to develop a strategy that respected her teachers' time. "Students need and want to grow," she explains, "and that happens through improved teacher pedagogy. But to make that a reality, you have to give…
Descriptors: Achievement Tests, Data Use, Academic Achievement, Student Participation
Leu, Katherine – RTI International, 2020
Postsecondary education is awash in data. Postsecondary institutions track data on students' demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected…
Descriptors: Learning Analytics, Postsecondary Education, Academic Achievement, Graduation Rate
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
National Center for Education Evaluation and Regional Assistance, 2019
Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. One hundred and two…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
Data Quality Campaign, 2021
State leaders are grappling with generation-defining challenges as they work to fully understand and address the impact of the pandemic on students and communities. As leaders turn their attention to the upcoming school year, data continues to be a critical tool for informing recovery efforts. Data Quality Campaign's (DQC) 2021 public opinion…
Descriptors: Data Use, Attitudes, COVID-19, Pandemics
Chenoweth, Karin – Learning Professional, 2021
Schools and districts that break the correlation between race and poverty on the one hand and academic achievement on the other hold enormous lessons for any educators willing to seek them out and ask: "Your kids are doing better than mine. What are you doing?" It is important to understand that educators who ask that question--whether…
Descriptors: Racial Bias, Ethnicity, Poverty, Academic Achievement