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Data Quality Campaign, 2025
For states to build statewide longitudinal data systems that empower people with access to information about education and workforce pathways, state leaders must consider the human capacity they already have, and must develop, to support this work. Building the human capacity required to manage, analyze, and protect data means investing in and…
Descriptors: Longitudinal Studies, Data Collection, Access to Information, Capacity Building
Katrina Boone; Ebony Lambert – National Comprehensive Center, 2020
CCNetwork, in many cases, begins their work by assessing client needs--speaking with clients, examining current evidence and data, reviewing documents, and identifying patterns across those. Needs-sensing methods are important inputs to helping shape and prioritize what CCNetwork does. Landscape scans take these efforts a bit further by helping to…
Descriptors: Networks, Needs Assessment, Planning, Data Collection
Hwang, Joyce – New America, 2021
Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…
Descriptors: Apprenticeships, High School Students, Partnerships in Education, Data Analysis
European Commission, 2022
This report reviews the outcomes of Erasmus+ projects promoting inclusion in education, implemented between 2014 and 2020. Starting from an inventory of 120 Erasmus+ projects labelled as 'good practice' in the Erasmus+ projects database, 15 projects were selected for further examination as case studies. The report summarises the main findings of…
Descriptors: Data Collection, Data Analysis, College Students, Student Exchange Programs
North Dakota Department of Public Instruction, 2024
The North Dakota Department of Public Instruction (NDDPI) periodically assesses the needs of early childhood and K-12 students and educators regarding literacy instruction. These periodic assessments assist NDDPI with meeting the needs of educators and the students they serve through grants and other programs and opportunities. This report reviews…
Descriptors: Literacy, Educational Needs, Needs Assessment, Elementary Secondary Education
Moeller, Eliza; Seeskin, Alex; Nagaoka, Jenny – University of Chicago Consortium on School Research, 2018
The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…
Descriptors: Public Schools, Data Collection, Data Analysis, Educational Improvement
Stern, Alexis; Rogers, Chris – Mid-Atlantic Comprehensive Center at WestEd, 2019
State education agencies (SEAs) are federally mandated to address discrimination in schools, including discrimination in school discipline practices, and SEAs can play an important role in helping schools and districts develop and implement more equitable, data-driven approaches to student discipline. SEAs' ability to identify challenges and offer…
Descriptors: Public Agencies, Discipline Policy, Equal Education, Referral
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Chen, Li-Ling – Journal of Educational Technology Systems, 2019
Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…
Descriptors: Data Analysis, Data Collection, Intervention, Data Use
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Bulfin, Scott; Henderson, Michael; Johnson, Nicola F.; Selwyn, Neil – British Journal of Educational Technology, 2014
The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a survey of 462 "research active" academic researchers working in the broad areas of educational technology and educational media. The paper…
Descriptors: Educational Technology, Surveys, Data Collection, Data Analysis
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Stover, Bert; Lubega, Flavia; Namubiru, Aidah; Bakengesa, Evelyn; Luboga, Samuel Abimerech; Makumbi, Frederick; Kiwanuka, Noah; Ndizihiwe, Assay; Mukooyo, Eddie; Hurley, Erin; Lim, Travis; Borse, Nagesh N.; Bernhardt, James; Wood, Angela; Sheppard, Lianne; Barnhart, Scott; Hagopian, Amy – Journal of Research Practice, 2018
We report on the implementation experience of carrying out data collection and other activities for a public health evaluation study on whether U.S. President's Emergency Plan for AIDS Relief (PEPFAR) investment improved utilization of health services and health system strengthening in Uganda. The retrospective study period focused on the PEPFAR…
Descriptors: Foreign Countries, Public Health, Data Collection, Program Implementation
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Gummer, Edith; Mandinach, Ellen – Teachers College Record, 2015
Background: The increasing focus on education as an evidence-based practice requires that educators can effectively use data to inform their practice. At the level of classroom instructional decision making, the nature of the specific knowledge and skills teachers need to use data effectively is complex and not well characterized. Being able to…
Descriptors: Information Literacy, Information Utilization, Data Analysis, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
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Journal of Applied Research on Children, 2012
The Data Quality Campaign (DQC) has been focused since 2005 on advocating for states to build robust state longitudinal data systems (SLDS). While states have made great progress in their data infrastructure, and should continue to emphasize this work, data systems alone will not improve outcomes. It is time for both DQC and states to focus on…
Descriptors: Data, Educational Quality, Information Utilization, Decision Making
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob – Alliance for Excellent Education, 2014
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
Descriptors: Educational Research, Data Collection, Data Analysis, Capacity Building
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