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Download full textLandry, Jeffrey P.; Pardue, J. Harold; Daigle, Roy; Longenecker, Herbert E., Jr. – Information Systems Education Journal, 2013
This paper describes an instrument designed for assessing learning outcomes in data management. In addition to assessment of student learning and ABET outcomes, we have also found the instrument to be effective for determining database placement of incoming information systems (IS) graduate students. Each of these three uses is discussed in this…
Descriptors: Database Management Systems, Evaluation Methods, Graduate Students, Information Systems
Jackson, Stephen; Remer, Casey – Hunt Institute, 2014
Until recently, states focused on ensuring the presence of a "highly qualified teacher" in every classroom. Under the 2001 reauthorization of the Elementary and Secondary Education Act (ESEA), known as No Child Left Behind (NCLB), this title described a teacher holding at least a bachelor's degree and the appropriate state license and…
Descriptors: Best Practices, Teacher Evaluation, Educational Opportunities, Teacher Qualifications
Peer reviewedMicceri, Theodore; And Others – British Journal of Educational Technology, 1989
Discussion of software evaluation for computer assisted instruction focuses on the Computer Courseware Evaluation Model (CCEM), developed at the University of South Florida. Criteria for reliability and validity are discussed, and areas of concern in software are addressed, including cost and presentation characteristics, instructional…
Descriptors: Computer Assisted Instruction, Costs, Criteria, Database Management Systems
Peer reviewedTate, C. Neal – Evaluation Review, 1986
Microcomputer uses by social researchers include writing programs, standard spreadsheets and data base management. In addition, microcomputers can increase the effectiveness and efficiency of information gathering by improving notetaking and organizing. Software developments will help make microcomputer data base management tools, now not…
Descriptors: Computer Software, Data Analysis, Data Collection, Database Management Systems
Peer reviewedBerger, Marilyn; Devine, Jane – Special Libraries, 1990
Describes a method of analyzing serials collections in special libraries that combines evaluative criteria with database management technology. Choice of computer software is discussed, qualitative information used to evaluate subject coverage is examined, and quantitative and descriptive data that can be used for collection management are…
Descriptors: Database Management Systems, Evaluation Criteria, Evaluation Methods, Information Technology
Peer reviewedJones, S.; And Others – Journal of Documentation, 1997
Discusses the use of transaction logging in Okapi-related projects to allow search algorithms and user interfaces to be investigated, evaluated, and compared. A series of examples is presented, illustrating logging software for character-based and graphical user interface systems, and demonstrating the usefulness of relational database management…
Descriptors: Algorithms, Computer Interfaces, Computer Software, Database Management Systems
Direct linkJohnson, Douglas F. – Online Journal of Distance Learning Administration, 2004
At the University of Florida, in Spring 2003, more than 32,000 individuals enrolled in courses using the centrally-supported Course Management System (CMS). Because less than 1 full time equivalent (FTE) was allocated to support the CMS, this created problems for both users and support providers. In the face of rapid growth, support resources for…
Descriptors: Technology Planning, Database Management Systems, Resource Allocation, Educational Resources
Ligon, Glynn; And Others – 1991
The GENESYS (GENeric Evaluation SYStem) evaluation system of the Austin, Texas school system is described, and its second year of operation--1989-90--is reviewed. GENESYS is a method of streamlining data collection and evaluation through the use of computer technology. It gathers and reports the following standard information on specified groups…
Descriptors: Computer Uses in Education, Cost Effectiveness, Data Analysis, Data Collection
