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Marwan, Samiha; Shi, Yang; Menezes, Ian; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2021
Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…
Descriptors: Expertise, Models, Feedback (Response), Identification
Schelling, Natalie R. – ProQuest LLC, 2018
Today's schools emphasize the use of student data to make instructional decisions. Standardized tests determine funding and teacher advancement (Datnow, Park, & Wholstetter, 2007; Gullo, 2013; Marchant & Paulson, 2009; Schraw, 2010). To evaluate learning before these tests, teachers must utilize their own assessments and data. Formative…
Descriptors: Elementary School Teachers, Data, Decision Making, Behavior Theories
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
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Curry, Katherine A.; Mwavita, Mwarumba; Holter, Alexandra; Harris, Ed – Educational Assessment, Evaluation and Accountability, 2016
Current high-stakes accountability mandates emphasize data use for school improvement. However, teachers often lack training for effective data use, and data is often too far removed from students to actually influence instructional practice. This qualitative case study was designed to gain a better understanding of a district-wide,…
Descriptors: Formative Evaluation, Decision Making, Data, Case Studies
Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
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Slavin, Robert E.; Cheung, Alan; Holmes, GwenCarol; Madden, Nancy A.; Chamberlain, Anne – American Educational Research Journal, 2013
A district-level reform model created by the Center for Data-Driven Reform in Education (CDDRE) provided consultation with district leaders on strategic use of data and selection of proven programs. Fifty-nine districts in seven states were randomly assigned to CDDRE or control conditions. A total of 397 elementary and 225 middle schools were…
Descriptors: School Districts, Educational Change, Models, Data
Mandinach, Ellen B.; Gummer, Edith S. – WestEd, 2012
There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…
Descriptors: Information Literacy, Data Analysis, Faculty Development, Data
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Charlier, Hara D.; Duggan, Molly H. – Community College Journal of Research and Practice, 2010
The current climate of accountability demands that institutions engage in data-driven program evaluation. In order to promote quality dual enrollment (DE) programs, institutions must support the adjunct faculty teaching college courses in high schools. This study uses Patton's utilization-focused model (1997) to conduct a formative evaluation of a…
Descriptors: Community Colleges, Adjunct Faculty, Data, Program Evaluation
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Halverson, Richard – Peabody Journal of Education, 2010
Data-driven instructional improvement relies on developing coherent systems that allow school staff to generate, interpret, and act upon quality formative information on students and school programs. This article offers a formative feedback system model that captures how school leaders and teachers structure artifacts and practices to create…
Descriptors: Feedback (Response), Student Behavior, Instructional Improvement, Educational Change
US Department of Education, 2015
This State-specific summary report serves as an assessment of the District of Columbia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
US Department of Education, 2015
This State-specific summary report serves as an assessment of Georgia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. To support implementation…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
US Department of Education, 2015
This State-specific summary report serves as an assessment of Ohio's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that Delaware and…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
US Department of Education, 2015
This State-specific summary report serves as an assessment of Hawaii's Year 4 Race to the Top implementation. Hawaii made tremendous progress over the course of the grant period in implementing its Strategic Plan and six priority strategies and creating an aligned organization focused on increasing student outcomes. Among some of the other…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
US Department of Education, 2015
This State-specific summary report serves as an assessment of Florida's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Some highlights of…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
US Department of Education, 2015
This State-specific summary report serves as an assessment of Rhode Island's Year 3 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2013 through September 2014. Building upon the successes of Years 1 through 3, in Year…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gap
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