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Sarah A. Schultz; Korine Steinke-Wawrzynski – Assessment Update, 2024
Can leveraging an innovative approach to gathering information on co-curricular learning and learning outcomes assessment practices lead to impactful change? This question guided the implementation and operationalization of the Spartan Experience Record (SER) at Michigan State University (MSU). The SER both provides undergraduate students with a…
Descriptors: Visual Aids, Data Analysis, Student Records, Undergraduate Students
Smillie, Siri – Education Commission of the States, 2021
State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…
Descriptors: Education Work Relationship, State Policy, Educational Policy, Policy Formation
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Lonn, Steven; McKay, Timothy A.; Teasley, Stephanie D. – New Directions for Higher Education, 2017
This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…
Descriptors: Institutional Characteristics, Statistical Data, Data Analysis, Capacity Building
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National Center for Education Statistics, 2018
State and local education agencies across the country face challenges related to understanding and managing their teaching staff to best help students learn. Statewide longitudinal data systems (SLDSs) offer valuable information about teacher labor markets that can be used to analyze supply and demand, inform budget and staffing decisions, and…
Descriptors: Unions, Labor Market, Teachers, Data Collection
Browne, Daniel – Wallace Foundation, 2015
With many cities showing an interest in afterschool system building and research providing a growing body of useful information, this Wallace Perspective offers a digest of the latest thinking on how to build and sustain an afterschool system, and the challenges and opportunities that lie ahead for this promising work. The report (a follow-up to a…
Descriptors: After School Programs, Program Development, Sustainability, Leadership Responsibility
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Dietz-Uhler, Beth; Hurn, Janet E. – Journal of Interactive Online Learning, 2013
Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics…
Descriptors: Technology Uses in Education, College Students, Academic Achievement, Prediction
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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
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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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
Van Beek, Michael – Mackinac Center for Public Policy, 2011
In the passionate debates over providing equal educational opportunity for all children, it's frequently argued that large financial inequities create challenges for many public schools, particularly those in lower-income urban areas. This study compares the revenues and operating expenditures of Michigan's urban, suburban, town and rural school…
Descriptors: Educational Finance, Public Schools, Expenditures, Municipalities
National Survey of Student Engagement, 2009
Assessment is a worthwhile undertaking when meaningful data are generated, evidence-based improvement initiatives are thoroughly considered and discussed, and results are ultimately used to improve educational effectiveness. National Survey of Student Engagement (NSSE) results are oriented toward such practical use. Each year, more campuses use…
Descriptors: National Surveys, Learner Engagement, Student Surveys, Undergraduate Students
Thorn, Christopher A.; Meyer, Robert H. – Wisconsin Center for Education Research (NJ1), 2006
The U.S. Department of Education recently held a competition for grants to support states in their efforts to build longitudinal data systems to track and analyze student and school performance. The Value-Added Research Center (VARC) at the Wisconsin Center for Education Research, University of Wisconsin-Madison, proposed a Tri-State Partnership…
Descriptors: Decision Making, Data Analysis, Educational Improvement, Educational Research
Olson, Lynn – Education Week, 2005
During workshops held in March and April of 2005, Michigan educators got a lesson in how to benchmark their work against promising practices in higher-performing schools with similar socioeconomic profiles. Teams of teachers, educational supervisors, and principals from 13 elementary and middle schools that had been struggling to make adequate…
Descriptors: Federal Legislation, Evaluators, Educational Improvement, Data Analysis
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Cooley, Van E.; Shen, Jianping; Miller, Deborah S.; Winograd, Peter N.; Rainey, John Mark; Yuan, Wenhui; Ryan, Lisa – Educational Horizons, 2006
The accountability required by school-reform measures such as No Child Left Behind has placed increased emphasis on data analysis for appraising schools, administrators, teachers, and students. The focus of accountability-driven initiatives is developing policies and procedures that collectively influence the district, the school, and most…
Descriptors: State Action, Grants, Data Analysis, School Restructuring
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