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Showing all 12 results Save | Export
Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2015
Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…
Descriptors: Weighted Scores, Stereotypes, Standardized Tests, Student Characteristics
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Yu, Chong Ho; Digangi, Samuel; Jannasch-Pennell, Angel Kay; Kaprolet, Charles – Online Journal of Distance Learning Administration, 2008
The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…
Descriptors: Online Courses, Data Collection, Research Methodology, Profiles
ANDERSON, GORDON V.; AND OTHERS – 1966
THE AIM OF THIS STUDY WAS TO DEVELOP, DEMONSTRATE, AND EVALUATE THE FEASIBILITY OF A PARTICULAR MODEL FOR A STUDENT ACCOUNTING SYSTEM AT THE UNIVERSITY OF TEXAS, INCORPORATING PREVIOUSLY COLLECTED INFORMATION PLUS ADDITIONAL QUESTIONNAIRE DATA FROM STUDENTS. A CENTRAL DATA BANK WAS ESTABLISHED TO INCLUDE (1) THE ACADEMIC RECORD OF THE STUDENT…
Descriptors: Data Analysis, Data Collection, Data Processing, Student Characteristics
Patton, Stanley R. – 1969
This document contains a design for creating an educational data bank of pupil personnel information. The specific information that should be collected and maintained in such an updatable data bank is described in detail. The document provides instructions on interpretation of this data for (1) predicting approximate percentages of students who…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
Levinsohn, Jay; And Others – 1978
This Users Manual is the supporting documentation for the Public Use Data File from the National Longitudinal Study of the High School Class of 1972 (NLS). The data file contains certain merged data from the base year (1972), and first, second, and third follow-up NLS surveys for 22,652 cases. This volume contains only appendices K through Q, as…
Descriptors: Data Analysis, Data Processing, Databases, Followup Studies
Harr, Gary Lynn – 1985
In 1984, the Student Assessment and Response System (STARS) was developed by the Florida Junior College at Jacksonville (FJCJ) to establish a proactive student assessment system that translates data collection on student needs into counseling action. As part of the registration process, students may complete a STARS survey form, which lists…
Descriptors: Ancillary School Services, Community Colleges, Computer Uses in Education, Counseling Services
Meier, Terre; Bundy, Larry – 1977
The Management Information System (MIS) of the Washington State system of community colleges was designed to be responsive to legislative and district requests for information and to enhance the State Board's capabilities to manage the community college system and integrate its budgeting and planning processes. The MIS consists of seven…
Descriptors: College Credits, College Faculty, Community Colleges, Courses
Bower, Cathleen P.; Renkiewicz, Nancy K. – 1977
This guide to surveying college students, graduates, and dropouts accompanies The Student Outcomes Questionnaires developed by the National Center for Higher Education Management Systems. Student outcomes are defined as the results or consequences of a student's enrollment in a post secondary educational program. The Student Outcomes…
Descriptors: College Graduates, College Students, Community Colleges, Costs
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers