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Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
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Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
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Neal, Jennifer Watling; Neal, Zachary P.; VanDyke, Erika; Kornbluh, Mariah – American Journal of Evaluation, 2015
Qualitative data offer advantages to evaluators, including rich information about stakeholders' perspectives and experiences. However, qualitative data analysis is labor-intensive and slow, conflicting with evaluators' needs to provide punctual feedback to their clients. In this method note, we contribute to the literature on rapid evaluation and…
Descriptors: Qualitative Research, Data Analysis, Evaluation, Evaluation Methods
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Loh, Christian Sebastian – International Journal of Virtual and Personal Learning Environments, 2013
Today's economic situation demands that learning organizations become more diligent in their business dealings to reduce cost and increase bottom line for survival. While there are many champions and proponents claiming that game-based learning (GBL) is sure to improve learning, researchers have, thus far, been unable to (re)produce concrete,…
Descriptors: Investment, Outcomes of Education, Educational Games, Instructional Improvement
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Vitinš, Maris; Rasnacs, Oskars – Informatics in Education, 2012
Information and communications technologies today are used in virtually any university course when students prepare their papers. ICT is also needed after people are graduated from university and enter the job market. This author is an instructor in the field of informatics related to health care and social sciences at the Riga Stradins…
Descriptors: Educational Technology, Assignments, Information Science, Data Processing
Zhang, Bin – ProQuest LLC, 2012
Social scientists usually are more interested in consumers' dichotomous choice, such as purchase a product or not, adopt a technology or not, etc. However, up to date, there is nearly no model can help us solve the problem of multi-network effects comparison with a dichotomous dependent variable. Furthermore, the study of multi-network…
Descriptors: Social Networks, Network Analysis, Comparative Analysis, Population Groups
Nandeshwar, Ashutosh R. – ProQuest LLC, 2010
In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…
Descriptors: Higher Education, Institutional Research, Graduation Rate, Program Effectiveness
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Curran, Thomas C.; Hunt, William F., Jr. – Journal of the Air Pollution Control Association, 1975
Descriptors: Air Pollution, Data Analysis, Data Processing, Environment
Hiser, Judith N.; Neil, M. Elizabeth – CAUSE/EFFECT, 1985
The Department of Administrative Programming Services of Clemson University investigated products available in user-friendly retrieval systems. The test of INTELLECT, a natural language query system written by Artifical Intelligence Corporation, is described. (Author/MLW)
Descriptors: Artificial Intelligence, Case Studies, College Administration, Computer Software
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Farnsworth, Chenoa – 2002
This report summarizes the problems schools are encountering as they try to use data to gauge the effectiveness of standards-based education, accountability efforts, and school reform. It provides an overview of the education market, discusses the strengths and weaknesses of available software, and describes systems used by 19 states. The article…
Descriptors: Computer Software Selection, Data Analysis, Data Processing, Educational Assessment
Gray, Peter J. – 1983
Ways a microcomputer can be used to establish and maintain an evaluation database and types of data management features possible on a microcomputer are described in this report, which contains step-by-step procedures and numerous examples for establishing a database, manipulating data, and designing and printing reports. Following a brief…
Descriptors: Computer Oriented Programs, Computer Software, Data Analysis, Data Processing
Jabine, Thomas B. – 1994
This profile presents and summarizes available information about the quality of data from the five surveys that comprise the SASS, along with background material on the survey design and procedures for the following: (1) School Survey; (2) School Administrator Survey; (3) Teacher Demand and Shortage Survey; (4) Teacher Survey; and (5) Teacher…
Descriptors: Data Analysis, Data Collection, Data Processing, Elementary Secondary Education
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Burstein, Leigh; And Others – Studies in Educational Evaluation, 1977
Activities of the California State Department of Education related to the Early Childhood Education Program were audited, specifically: (1) overall data management and processing; (2) information quality for the evaluation of program impact; (3) treatment of standardized test data; and (4) procedures for expansion funding and termination. (CP)
Descriptors: Data Analysis, Data Processing, Evaluation Methods, Information Utilization
Kaskowitz, David H.; Klibanoff, Leonard S. – 1982
Since July 1978, RMC Research Corporation has been conducting a study concerned with several aspects of the Title I Evaluation and Reporting System (TIERS). Phases I and II included examination of technical and procedural issues, development of system materials, and assessment of state evaluation reports. Phase III was intended to be an…
Descriptors: Achievement Gains, Data Analysis, Data Processing, Elementary Secondary Education
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