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Yaosheng Lou; Kimberly F. Colvin – Discover Education, 2025
Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…
Descriptors: Educational Research, Data Collection, Performance, Prediction
Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
Flannery, K. Brigid; Kato, Mimi McGrath; Horner, Robert H. – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
Using data for decision-making is critical for schoolwide leadership teams and has been shown to enhance both social and academic outcomes for students (Faria et al., 2017). Using data effectively, however, requires that teams have a clear vision about the type of data, format of data presentation, and process for using data. To avoid expending…
Descriptors: High School Students, Data Use, Outcomes of Education, Positive Behavior Supports
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Hakverdi-Can, Meral; Dana, Thomas M. – Turkish Online Journal of Educational Technology - TOJET, 2012
The purpose of this study is to examine exemplary science teachers' level of computer use, their knowledge/skills in using specific computer applications for science instruction, their use of computer-related applications/tools during their instruction, how often they required their students to use those applications in or for their science class…
Descriptors: Computer Uses in Education, Computers, Educational Technology, Science Teachers
Jones, Joseph; Southern, Kyle – CNA Corporation, 2011
Federal education policy in recent years has encouraged state and local education agencies to embrace data use and analysis in decision-making, ranging from policy development and implementation to performance evaluation. The capacity of these agencies to make effective and methodologically sound use of collected data for these purposes remains an…
Descriptors: Data Analysis, Grants, Educational Policy, Federal Programs
Bernstein, Alan – Principal Leadership, 2006
Many school districts are putting data to good use, although much of the data used in administrative decision making ultimately derives from standardized test scores, which raises a host of other related concerns. The author's purpose in this article is not to critique the types or sources of data that administrators use, but to suggest that there…
Descriptors: Vocational Schools, Standardized Tests, Academic Achievement, Data Analysis
New York City Board of Education, Brooklyn, NY. Office of the Deputy Chancellor. – 1974
This report describes some of the characteristics and benefits of the New York Educational Information System, a computerized pupil personnel system which is being developed to furnish schools with a comprehensive means of processing and storing pupil data for use by teachers, counselors, administrators, and educators at all levels, through the…
Descriptors: Case Records, Computer Oriented Programs, Data Collection, Data Processing
Dailey, Don; Zantal-Wiener, Kathy – 2000
This document presents findings from a 5-year study of the effect of the standards-based reform movement on students with disabilities. The study used pragmatic evaluation strategies that integrated both quantitative and qualitative collection methods of data and site visits to 10 high schools in six districts (including urban, rural, and suburban…
Descriptors: Academic Standards, Data Analysis, Data Collection, Decision Making
Schmit, Jack – 1991
This study examined the process of college choice focusing on the earlier stages of the college choice process among 4,923 high school students (3,110 students participated by returning completed surveys) involving 21 high schools in Indiana. The study attempted to: (1) construct a mid-range model representing the search phase of the college…
Descriptors: Causal Models, College Bound Students, College Choice, Criteria
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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