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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
Whinnery, Erin – Education Commission of the States, 2018
Prior learning assessment policies allow students to earn college credit for knowledge and experience gained outside of a classroom, which can accelerate their time to graduation. Research shows that students who receive Prior Learning Assessment (PLA) credit accumulate more credit and graduate more quickly and at higher rates than their peers who…
Descriptors: Prior Learning, Student Evaluation, State Policy, College Credits
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Parks, Rodney; Parrish, Jesse; Taylor, Alexander – College and University, 2018
Learners of all types must be able to represent their achievements to prospective employers and education institutions to prove that they have the requisite knowledge and skills for success. The most recognized means by which students represent themselves is the credential. As in many other industries that engage with customers, partners, and…
Descriptors: Credentials, Academic Records, College Students, Employment Qualifications
Data Quality Campaign, 2014
High education expectations--and the tools to ensure that they are being met--empower educators, students, parents, and policymakers to support student learning and make the best decisions to improve education. Most states have voluntarily adopted the Common Core State Standards to serve as their education expectations. To consistently and…
Descriptors: State Standards, Consortia, Organizational Theories, Data Collection
Rihák, Jirí – International Educational Data Mining Society, 2015
In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
Ewell, Peter; L'Orange, Hans – State Higher Education Executive Officers, 2009
A rapidly changing global economy, shifting demographics, and concerns about our ability to maintain a competitive workforce have focused national attention on the educational systems of America's states, highlighting their critical role in ensuring a productive and creative future for our country. As a result, Americas colleges and universities…
Descriptors: Higher Education, Elementary Secondary Education, Information Management, Design Requirements
White, Stephen R. – 1975
This document describes the computerized procedures developed and utilized by Montgomery College (Maryland) to maintain records related to student academic progress. The new system was fully operable by fall 1972. Systems development included: (1) the conversion of past student records to a permanent grade history file; (2) the development of a…
Descriptors: Academic Records, Computers, Data Collection, Data Processing
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Bradby, Denise – Journal of Vocational Education Research, 1994
National databases are not necessarily useful for specific school district needs. Participating sites in the High Schools that Work program have adapted several data collection procedures from national studies to serve their own information needs and assess the effectiveness of local program changes. (SK)
Descriptors: Academic Records, Data Collection, Databases, Decision Making
American Association of Collegiate Registrars and Admissions Officers, Washington, DC. – 1995
This videocassette introduces SPEEDE/ExPRESS, a system for the electronic transfer of student records. The electronic transfer of student transcripts and other records has numerous benefits for students, in terms of timely transfer, and for administrators who will find it easier and quicker to transfer records rapidly through electronic means,…
Descriptors: Academic Records, Data Analysis, Data Collection, Educational Administration
Lee, Marcia M. – 1992
The Student Right-To-Know and Campus Security Act gives community colleges a strong incentive to track transfer students. Westchester Community College (WCC) in New York devised a four-step process to track students who transferred to four-year college before graduating. The method used to track student transfers involved the following steps: (1)…
Descriptors: Academic Records, College Transfer Students, Community Colleges, Data Collection
California State Postsecondary Education Commission, Sacramento. – 1986
Student performance reporting at The University of California, The California State University, and California community colleges is discussed, along with future considerations. The California Postsecondary Education Commission examined student performance reports sent annually by the state institutions to high schools and community colleges to…
Descriptors: Academic Records, Articulation (Education), College School Cooperation, Community Colleges
New York Univ., NY. Inst. for Education and Social Policy. – 1998
This report describes some of the major New York City Board of Education automated data collection systems and databases, and the ways in which information about individual students in these databases is collected from the schools, aggregated by staff in different central Board of Education offices, and used in school- and district-level reports.…
Descriptors: Academic Achievement, Academic Records, Bilingual Education, Computer Uses in Education
Wagner, Mary; And Others – 1989
The National Longitudinal Transition Study of Special Education Students (NLTS) provides information to practitioners, policymakers, researchers, and others in the special education community regarding the transition of youth with disabilities from secondary school to early adulthood. The sample for the study, which began in 1987, involves more…
Descriptors: Academic Records, Adolescent Development, Data Collection, Data Processing
Knight, Shirley; And Others – 1988
Procedures are described that were used to collect and process postsecondary school transcripts for a subsample of members of the younger (i.e. 1980 sophomore) cohort of the High School and Beyond study who attended postsecondary institutions at any time after leaving high school. Five chapters are as follows: (1) introduction (the National Center…
Descriptors: Academic Records, College Bound Students, Computer Uses in Education, Data Analysis
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