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Romano, Richard M.; Wisniewski, Martin – 2003
This study shows how community colleges can track almost all of their own students who transfer into both public and private colleges and across state lines using the National Student Clearinghouse (NSC) database. It utilizes data from the student information systems of Broome Community College, New York; Cayuga Community College, New York; the…
Descriptors: Community Colleges, Data Collection, Databases, Postsecondary Education
Huang, Gary; Salvucci, Sameena; Peng, Samuel; Owings, Jeffrey – 1996
This report presents an analysis blueprint for data provided by the National Education Longitudinal Study of 1988 (NELS:88), a survey system sponsored by the National Center for Education Statistics (NCES). The report will inform beginning NELS:88 data users of the many substantive issues that can be addressed by the data, and it should present…
Descriptors: Databases, Higher Education, Longitudinal Studies, Models
Northwest Regional Educational Lab., Portland, OR. – 1998
The fifth session of IT@EDU98 consisted of four papers and was chaired by Nguyen Thanh Son (University of Technology, Ho Chi Minh City, Vietnam). "Distance Education at University of Hawaii" (David Lassner) investigates the technologies in use at the University of Hawaii, including: SkyBridge; HITS (Hawaii Interactive Television System);…
Descriptors: Computer Networks, Databases, Distance Education, Educational Technology
Takao, Allison Y.; Kelly, Gregory J. – 2001
The purpose of this paper is to assess the differences in university oceanography students' scientific writing. Specifically, the authors examine the argumentation structures of a high scoring paper and a low scoring paper. This study was conducted in an introductory level oceanography course in a large public university. In this course students…
Descriptors: Databases, Epistemology, Evaluation, Geology
Smarte, Lynn – 2000
The Educational Resources Information Center (ERIC) is a federally funded, nationwide information network designed to provide users with ready access to education literature. The mission of the ERIC system is to improve American education by increasing and facilitating the use of educational research and information to improve practice in…
Descriptors: Access to Information, Databases, Educational Research, Educational Resources
Piper, Alison – 1998
This paper demonstrates how a linguistic analysis of lifelong learning as a cultural keyword can be carried out in the context of a particular socioeconomic model with which it is associated, human capital, focusing on the dynamics of their relationship. Study data include a 900,000-word corpus of the recent British and European Union literature…
Descriptors: Adult Learning, Computational Linguistics, Databases, Foreign Countries
Klemm, E. Barbara – 2002
Creating a searchable multimedia teacher-education database requires a thesaurus control language for categorizing and labeling sequences in multimedia artifacts. This language must be based on a conceptual hierarchy that is authentic to teacher educators and teachers, and also capable of meeting the constraints of computer programmers. The…
Descriptors: Databases, Higher Education, Hypermedia, Lexicology
Miller-Whitehead, Marie – 2001
Keyword and text string searches of online library catalogs often provide different results according to library and database used and depending upon how books and journals are indexed. For this reason, online databases such as ERIC often provide tutorials and recommendations for searching their site, such as how to use Boolean search strategies.…
Descriptors: Databases, Information Retrieval, Information Seeking, Online Catalogs
Lubienski, Sarah Theule – 1999
This study provides a broad look at mathematics education research published since 1982. The Educational Resources Information Center (ERIC) database was utilized to count and categorize over 3,000 articles from 48 educational research journals, with particular attention to equity issues. Results reveal the number of articles relating to…
Descriptors: Databases, Disabilities, Educational Research, Elementary Secondary Education
National Center for Education Statistics (ED), Washington, DC. – 1997
This CD-ROM (for both MS-DOS and Windows) contains data from the 1993 National Study of Postsecondary Faculty (NSOPF) and all other available National Center for Education Statistics data analysis systems (DAS). The DAS is a menu-driven system that allows the user to produce frequencies, cross tabulations, and correlation matrices without access…
Descriptors: College Faculty, Data Analysis, Databases, Higher Education
Minnesota Higher Education Services Office, 2004
The headcount of students enrolled at Minnesota post-secondary institutions at the beginning of the fall term appears in the tables of the document. Enrollments are grouped by individual institution, institution type, and whether the institution is located inside or outside the Twin Cities metropolitan area. For each institution, the preliminary…
Descriptors: Enrollment, Databases, Metropolitan Areas, Student Characteristics
Hillman, Donald J. – Information Storage and Retrieval, 1973
The development of special-purpose information products for clients of the LEADERMART information retrieval system is described. (9 references) (RS)
Descriptors: Cost Effectiveness, Databases, Information Needs, Information Retrieval
And Others; Itahashi, Shuichi – IEEE Transactions on Audio and Electroacoustics, 1973
Descriptors: Charts, Componential Analysis, Computers, Databases
Peer reviewed Peer reviewed
Sparck Jones, K.; Van Rijsbergen, C. J. – Journal of Documentation, 1973
Substantial alterations to a system often have little or no effect on particular collections. This may be due to poor separation of relevant and non-relevant documents. The paper presents a procedure for characterizing this separation, which can show whether proposed modifications of the base system are likely to be useful. (8 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Sparck Jones, Karen – Information Storage and Retrieval, 1973
Retrieval performance with automatic term classifications for three test collections has been variable. This paper attempts to discover why. The real difference between the collections is in the separation of relevant from non-relevant documents. The separation is so poor that classification cannot be expected to succeed. (14 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
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