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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
Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
McGuinn, Patrick – Consortium for Policy Research in Education, 2015
It has been three years since Race to the Top grant-winning states piloted new teacher evaluation systems and many of them have made considerable progress, yet according to media coverage and a Government Accountability Office (GAO) report published in April 2015, struggles remain and most grantees have asked to extend the timetables for…
Descriptors: State Departments of Education, State Policy, Teacher Evaluation, Program Implementation
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
Wright, Mary C.; McKay, Timothy; Hershock, Chad; Miller, Kate; Tritz, Jared – Change: The Magazine of Higher Learning, 2014
Learning Analytics (LA) has been identified as one of the top technology trends in higher education today (Johnson et al., 2013). LA is based on the idea that datasets generated through normal administrative, teaching, or learning activities--such as registrar data or interactions with learning management systems--can be analyzed to enhance…
Descriptors: STEM Education, Introductory Courses, Physics, Technology Uses in Education
Caron, B.; Kendall, R.; Wilson, G.; Hash. M. – Early Learning Challenge Technical Assistance, 2017
The Early Learning Challenge (ELC) program awarded more than $1 billion in four-year grants to 20 States to implement comprehensive and cohesive high-quality early learning systems that support young children with high needs and their families. A key lever in making these improvements was the enhancement of States' Quality Rating and Improvement…
Descriptors: Early Childhood Education, Young Children, Student Needs, Quality Control
O'Neill, James M.; Clark, Jeffrey K.; Jones, James A. – Journal of School Health, 2016
Background: In elementary grades, comprehensive health education curricula have demonstrated effectiveness in addressing singular health issues. The Michigan Model for Health (MMH) was implemented and evaluated to determine its impact on nutrition, physical fitness, and safety knowledge and skills. Methods: Schools (N = 52) were randomly assigned…
Descriptors: Elementary School Students, Health Promotion, Physical Fitness, Randomized Controlled Trials
Leimer, Christina – Association for Institutional Research (NJ1), 2011
As Institutional Research (IR) moves beyond its fiftieth anniversary, a new profession, called Institutional Effectiveness (IE), is emerging. In some respects, IR and IE are similar. IE, though, appears to be taking the leadership role. What are the structure, purpose, and responsibilities of IE offices? What are the implications for the IR field…
Descriptors: Institutional Research, Institutional Evaluation, Accreditation (Institutions), School Effectiveness
Kelcey, Ben; Carlisle, Joanne F. – Reading Research Quarterly, 2013
The purpose of this study is to contribute to efforts to improve methods for gathering and analyzing data from classroom observations in early literacy. The methodological approach addresses current problems of reliability and validity of classroom observations by taking into account differences in teachers' uses of instructional actions (e.g.,…
Descriptors: Data Collection, Data Analysis, Emergent Literacy, Reliability
Toal, Stacie A.; Gullickson, Arlen R. – New Directions for Evaluation, 2011
In 1999, the National Science Foundation (NSF) awarded funds to the Evaluation Center at Western Michigan University to conduct an external evaluation of the Advanced Technological Education (ATE) program. ATE, a federally mandated program designed to increase the number and quality of skilled technicians in the U.S. workforce, has funded over 346…
Descriptors: Evaluators, Program Evaluation, Evaluation Methods, Technology Education
Jacob, Robin Tepper; Jacob, Brian – Journal of Research on Educational Effectiveness, 2012
Teacher and principal surveys are among the most common data collection techniques employed in education research. Yet there is remarkably little research on survey methods in education, or about the most cost-effective way to raise response rates among teachers and principals. In an effort to explore various methods for increasing survey response…
Descriptors: Principals, Data Collection, Test Theory, Response Rates (Questionnaires)
Behr, Michele; Hill, Rebecca – Journal of Library & Information Services In Distance Learning, 2012
With both budget dollars and buying power shrinking for academic library collections, the selection of materials is a series of crucial choices. With increases in numbers of online programs, how can we determine if what we are buying is in fact what our users need? E-reserves are an increasingly popular way to provide digital copies of course…
Descriptors: Academic Libraries, Data Collection, Electronic Libraries, Archives
Halbritter, Bump; Lindquist, Julie – College English, 2012
We present an approach to operationalizing discovery in literacy research by describing a diagnostic, abductive methodology. This methodology treats products of videotaped interviews and participant-authored footage as narrative data produced in scenes of literacy sponsorship. In describing the operations of our diagnostic approach, we foreground…
Descriptors: Higher Education, Literacy, Case Studies, Student Research
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