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Chad J. Coleman – ProQuest LLC, 2021
Determining which students are at-risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of both research and practice in K-12 education. The models produced from this type of predictive modeling research are increasingly used by high schools in Early Warning…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Elementary Secondary Education
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Bonsu, Pam; Goertzen, Heidi; Howard-Brown, Beth; Kaase, Kris; LaTurner, Jason; Times, Chris – Southeast Comprehensive Center, 2016
The Southeast Comprehensive Center (SECC) at SEDL, an affiliate of American Institutes for Research (AIR), partnered with the Alabama State Department of Education (ALSDE) in 2014 to assist in evaluating Alabama Plan 2020, mainly focusing on learners and the graduation rate. SECC provided professional development and analytic technical assistance…
Descriptors: Data Analysis, Graduation Rate, Strategic Planning, Faculty Development
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
Caffarella, Edward P. – Executive Educator, 1981
Offers a formula to refine enrollment projections at the school district level. The formula builds on the traditional cohort survival technique and is based on the assumption that what has happened in the past will continue to happen in the future. Instructions and sample projections are provided. (Author/WD)
Descriptors: Cohort Analysis, Data Collection, Elementary Secondary Education, Enrollment Projections
Kostanian, S. L. – Soviet Education, 1978
Examines how forecasting of educational development in the Soviet Union can be coordinated with forecasts of scientific and technical progress. Predicts that the efficiency of social forecasting will increase when more empirical data on macro- and micro-processes is collected. (Author/DB)
Descriptors: Communism, Comparative Education, Data Analysis, Data Collection
Peer reviewedMurfin, Brian – Science Teacher, 1998
Outlines how students and teachers can use the internet to gather data on earthquakes all over the world, explore the data using database and spreadsheet programs, and predict earthquakes or formulate other hypotheses. (DDR)
Descriptors: Computer Uses in Education, Data Collection, Earthquakes, Educational Resources
Peer reviewedLauritzen, Paul; Friedman, Stephen J. – Teacher Education and Special Education, 1993
This paper describes the current status of teacher supply and demand in both special and general education, presents examples of the kinds of data and analyses which comply with the Individuals with Disabilities Education Act, and discusses how educational policymaking might be affected by the mandate to project future personnel needs. (Author/DB)
Descriptors: Compliance (Legal), Data Analysis, Data Collection, Disabilities
Parshall, Lucian – 1993
The first of two papers compares two models (the market based model and the prevalence model) for analyzing data from annual state surveys to determine future special education personnel needs and discusses critical issues in data collection. These data are required under the Individuals with Disabilities Education Act which asks states to project…
Descriptors: Compliance (Legal), Data Collection, Disabilities, Elementary Secondary Education
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
Lewis, Arthur J. – 1978
The paper describes how information regarding future trends is collected and made available to educational policy makers. Focusing on educational implications of social and population trends, the paper is based on data derived from use of trend forecasting by educational policy makers in Florida and other southeastern states. The document is…
Descriptors: Bureaucracy, Data Analysis, Data Collection, Decision Making
Educational Testing Service, Princeton, NJ. – 1976
The l975 Educational Testing Service (ETS) Invitational Conference provided an overview of the social indicators movement, and the relationship between schooling and quality of life. The concept of educational indicators was discussed. Educational indicators are defined as statistics used to provide information regarding the status of particular…
Descriptors: Academic Achievement, Awards, Conference Reports, Cost Effectiveness
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

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