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Showing 1 to 15 of 18 results Save | Export
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Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
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Gupta, Shivangi; Sabitha, A. Sai – Education and Information Technologies, 2019
Aimed at a massive outreach and open access education, Massive Open Online Courses (MOOC) has evolved incredibly engaging millions of learners' over the years. These courses provide an opportunity for learning analytics with respect to the diversity in learning activity. Inspite of its growth, high dropout rate of the learners', it is examined to…
Descriptors: Retention (Psychology), Online Courses, Learner Engagement, Electronic Learning
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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Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
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
Lee, Arthur M. – 1969
In a progress report of the Arizona Adult Basic Education Data Processing System, the following are presented: (1) the terms of the original contract; (2) the plans for the second year; (3) the method used; (4) information secured; (5) evaluation information obtained; (6) plans for the future. The program aims at identifying, adapting, and coding…
Descriptors: Administrators, Adult Basic Education, Audiovisual Aids, Curriculum
Frymier, Jack – 1995
As part of an effort to reduce high school dropout rates in large city school districts, Phi Delta Kappa, the National Association of Secondary School Principals, the Council of Great City Schools, and a group of large city school districts undertook an effort to determine baseline statistics in high schools in large cities by using standardized…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
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Ingels, Steven J.; And Others – 1992
This manual has been produced to familiarize data users with the procedures followed for data collection and processing of the first follow-up dropout component of the National Education Longitudinal Study of 1988 (NELS:88). Necessary documentation is also provided for use of the data files. The base-year population covered by the NELS:88 included…
Descriptors: Data Collection, Data Processing, Databases, Dropout Research
Noth, Nancy; O'Neill, Barbara – 1981
This study, which examined the demographic and educational characteristics of students who leave school before completing the twelfth grade, aimed to identify descriptive and predictive data on the potential school dropout in the Pasco School District of Washington State. The project was conducted as an initial step toward developing a data…
Descriptors: Data Collection, Data Processing, Dropout Characteristics, Dropout Prevention
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Ingels, Steven J.; And Others – 1994
This manual familiarizes data users with the procedures followed for data collection and processing of the second follow-up dropout component of the National Education Longitudinal Study of 1988 (NELS:88), a survey of the educational and personal characteristics of students. The dropout data file contains records for 2,028 sample members who…
Descriptors: Data Collection, Data Processing, Dropouts, Followup Studies
Copa, George; Irvin, Donald – 1973
The report presents the results of a pilot test of a procedure for conducting a school-directed assessment of former high school students to obtain information about their educational and employment activities. Criteria for the assessment procedure were: provide information useful in assisting local school personnel in planning and evaluation; be…
Descriptors: Data Collection, Data Processing, Dropouts, Educational Assessment
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
Penney, George – Technological Horizons in Education, 1982
Details of threshold are provided which took school dropouts and provided instruction in computer-related jobs and placed the students in data-processing positions. Details and discussion of the program as provided indicate that the scheme was very successful and the program is viewed as applicable to other countries. (MP)
Descriptors: Computers, Data Processing, Dropouts, Job Placement
Ohio State Univ., Columbus. National Center for Research in Vocational Education. – 1978
This tenth in a series of eleven learning modules on program planning, development, and evaluation is designed to acquaint secondary and postsecondary vocational teachers with student follow-up procedures and help them to develop skill in planning and conducting a student follow-up study. Introductory sections relate the competencies dealt with…
Descriptors: Competency Based Teacher Education, Curriculum Guides, Data Collection, Data Processing
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