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Lewis, Jonathan S. – ProQuest LLC, 2017
Paid employment is one of the most common extracurricular activities among full-time undergraduates, and an array of studies has attempted to measure its impact. Methodological concerns with the extant literature, however, make it difficult to draw reliable conclusions. Furthermore, the research on working college students has little to say about…
Descriptors: Work Experience, Leadership Training, Beliefs, Leadership
Galyardt, April; Goldin, Ilya – Journal of Educational Data Mining, 2015
In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…
Descriptors: Achievement Rating, Performance Based Assessment, Bayesian Statistics, Data Analysis
Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
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
Mannering, Linda W.; McKinney, Richard L. – 1983
The paper sets the stage for the effective and efficient use of computers in institutional research. The microcomputer and the mainframe computer are contrasted for those researchers who have a choice of where to process data. General computer use, specific microcomputer and mainframe computing guidelines, and an application utilizing both…
Descriptors: Comparative Analysis, Computers, Data Analysis, Data Processing
Henderson, John T. – 1970
Persons responsible for 2-year college occupational education should take positive steps to monitor data to measure and insure the development and successful operation of their programs. The purpose of this report is to provide better understanding of techniques involved in conducting surveys. Surveys can establish: student characteristics,…
Descriptors: Comparative Analysis, Data, Data Analysis, Data Collection
Lazarsfeld, Paul F., Ed. – 1975
Part two of a seven-section, final report on the Multi-Disciplinary Graduate Program in Educational Research, this document contains discussions of quantification and reason analysis. Quantification is presented as a language consisting of sentences (graphs and tables), words, (classificatory instruments), and grammar (rules for constructing and…
Descriptors: Behavioral Science Research, Comparative Analysis, Data Analysis, Data Processing
Palumbo, Thomas J.; Valdisera, Victor M. – 1978
To evaluate the accuracy of the 1970 census' occupational classification system, a comparison was made between that year's responses to census questions and the replies by the same population group to the 1972 Postcensal Manpower Survey (PMS). Each of these questionnaires relied on a different methodology; in the PMS the respondent classified…
Descriptors: Census Figures, Classification, Comparative Analysis, Data Analysis
Burdick, Evelyn P.; Reda, Denice A. – Educational Technology, 1982
Describes the Personalized Admissions and Advisement System introduced at Triton College, Illinois, to administer student recruitment, admissions, advising, and initial orientation. The article compares the old and the new systems and points out the benefits of the computer-assisted method, particularly as related to speed and ease of data…
Descriptors: Academic Advising, Admissions Counseling, Automation, College Admission
Chissom, Brad S.; Morris, John E. – 1973
The primary purpose of this project was to develop a system for the evaluation of student teachers employing automated data processing as an integral part of the system. This system employed data gathered from four sources: (1) Public School Pupils, Grades 7-12; (2) Student Teachers; (3) Supervising Teachers; (4) College Supervisors. The emphasis…
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Data Processing
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