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Maldonado, Edgar; Seehusen, Vicky – Journal of Education for Business, 2018
The authors used a clustering technique to analyze business course choices made by students who completed an individualized degree in a large, urban, public university. They looked for patterns to answer the research question, "What can we learn from students' choices to inform the curricular redesign process in business programs?" The…
Descriptors: Business Administration Education, Curriculum Development, Cluster Grouping, Course Selection (Students)
Corsello, Maryann; Sharma, Anu; Jerabek, Angela – Grantee Submission, 2015
Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…
Descriptors: Teacher Collaboration, Student Improvement, Improvement Programs, Information Utilization
Sirinides, Philip; Fink, Ryan – Regional Educational Laboratory Mid-Atlantic, 2014
Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…
Descriptors: Early Childhood Education, Educational Strategies, Educational Practices, Effective Schools Research
Data Quality Campaign, 2011
On April 8, 2011, the U.S. Department of Education (USED) published in the Federal Register new proposed amendments to regulations implementing the Family Educational Rights and Privacy Act (FERPA). The notice invites public comments on the proposed regulations, which are due no later than May 23, 2011. The proposed regulations are designed to…
Descriptors: Federal Legislation, Revision (Written Composition), Federal Regulation, Data Collection
Bill & Melinda Gates Foundation, 2010
This document is part of a series of guides designed to help school district leaders address one of the toughest challenges in American education: dropout rates of 30 percent nationwide, 50 percent in many big cities, and 60 percent or more in the lowest-performing schools. It includes tools for data analysts to drill down into the data and use…
Descriptors: Dropout Rate, Academic Achievement, School Districts, Data Analysis