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Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Ma, Kin M.; Hendrick, Andrea; Transue, Judith – Journal of Community Engagement and Higher Education, 2018
After the 2008 housing loan crisis, many houses were foreclosed/abandoned in Michigan, and specifically Grand Rapids (GR). Our study provides a collaborative and scalable model for collecting parcel-level housing data, in a southeast GR neighborhood within 15 U.S. Census Blocks. Grand Valley State University Geography faculty and students…
Descriptors: Housing, Neighborhoods, Data Collection, Neighborhood Improvement
Willard, Jacklyn; Vasquez, Andrea; Lepe, Marco – MDRC, 2019
College Promise programs aim to make students believe they can afford college, and to give them the opportunity to go to college and earn degrees without taking on significant debt. At the core of all College Promise programs is a scholarship: All eligible College Promise students receive scholarships that may cover up to 100 percent of tuition…
Descriptors: College Programs, Paying for College, Access to Education, Scholarships
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
Russell, Lane; Little, Priscilla – National League of Cities Institute for Youth, Education and Families (NJ1), 2011
Cities around the country are building systems that seek to make the most of public and private resources to provide widespread, high-quality, out-of-school time opportunities. Local officials are leading these efforts because participation in OST programs not only benefits young people but also the cities in which they live, with the potential to…
Descriptors: After School Programs, Urban Programs, Data Collection, Information Utilization
McDonald, Sarah-Kathryn; Andal, Jolynne; Brown, Kevin; Schneider, Barbara – Regional Educational Laboratory Midwest, 2007
Educational improvement through data-based decision-making using high-quality data is a longstanding goal of policymakers and practitioners, and ensuring the quality of the evidence available to inform such decisions is a key part of the No Child Left Behind Act of 2001. The evidence-based education that such initiatives promote involves the…
Descriptors: Educational Resources, Information Needs, Information Systems, Politics of Education

Brown, Mary M.; Kiefer, Charles C. – Journal of Vocational Education Research, 1980
This evaluation approach provides a mechanism for obtaining and synthesizing managerial information about vocational education programs. Data analyses and the conclusions and recommendations of the study are used to determine future educational activities and priorities in the state. (SK)
Descriptors: Data Collection, Evaluation Criteria, Management Information Systems, Program Evaluation
Grand Rapids Junior Coll., MI. Office of Curriculum Planning and Evaluation. – 1982
The Michigan Analysis Network and General Evaluation Report (MANAGER) was developed as a component of the overall Michigan Community College Occupational Education Evaluation System (MCCOEES). Developed for use by college presidents and occupational program administrators and instructors, the handbook describes a six-step process for collecting,…
Descriptors: Community Colleges, Data Analysis, Data Collection, Institutional Evaluation
Saginaw Public Schools, MI. Dept. of Evaluation, Testing, and Research. – 1996
This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…
Descriptors: Data Analysis, Data Collection, Data Processing, Database Management Systems
1979
The Michigan Student Information System (MiSIS) is the student flow component of the Michigan Community College Occupational Education Evaluation System (MCCOEES), a comprehensive state-wide system for evaluating occupational education. The Michigan Student Information System (MiSIS) Activities Manual was designed to help college-level personnel…
Descriptors: Community Colleges, Compliance (Legal), Continuing Education, Data Collection
1979
The Michigan Student Information System (MiSIS) is the student flow component of the Michigan Community College Occupational Education Evaluation System (MCCOEES), a comprehensive state-wide system for evaluating occupational education. This manual provides comprehensive guidelines for collecting local management information for program and…
Descriptors: Community Colleges, Continuing Education, Data Analysis, Data Collection