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Direct linkNahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Luna, Odessa; Petri, Jessica M.; Palmier, Jessica; Rapp, John T. – Journal of Behavioral Education, 2018
As one component of a functional behavioral assessment, descriptive assessments (DA) can help determine the maintaining variable of a student's problem behavior in school. School districts often employ board-certified behavior analysts as consultants to conduct DAs by observing a student and recording the environmental variables surrounding…
Descriptors: Accuracy, Comparative Analysis, Functional Behavioral Assessment, Behavior Problems
Download full textLahav, Orly; Babai, Reuven – Journal of Visual Impairment & Blindness, 2018
Structured abstract: Introduction: Difficulties in science and mathematics may stem from intuitive interference of irrelevant salient variables in a task. It has been suggested that such intuitive interference is based on immediate perceptual differences that are often visual. Studies performed with sighted participants have indicated that in the…
Descriptors: Problem Solving, Geometry, Intuition, Interference (Learning)
Atchison, Drew; Baker, Bruce; Levin, Jesse; Manship, Karen – Office of Planning, Evaluation and Policy Development, US Department of Education, 2017
Concerns about the equitable distribution of school funding within and across school districts have led to new federal data collections on school-level expenditures. The American Recovery and Reinvestment Act of 2009 (ARRA) required states to collect and report, for the first time, school-level data on both personnel and non-personnel expenditures…
Descriptors: Educational Quality, Expenditures, School Districts, Data Collection
Hintz, Eric G.; Hintz, Maureen L.; Lawler, M. Jeannette – Journal of Astronomy & Earth Sciences Education, 2015
As part of an effort to improve students' knowledge of constellations and bright stars in an introductory level descriptive astronomy survey course, we measured the baseline knowledge that students bring to the class and how their score evolve over the course of the semester. This baseline is needed by the broader astronomy education research…
Descriptors: Secondary School Students, Grade 9, Undergraduate Students, Nonmajors
Jasper, Andrea D.; Taber Doughty, Teresa – Focus on Autism and Other Developmental Disabilities, 2015
This study examined the effects of delayed recording on the accuracy of data recorded by special educators serving students with high- or low-incidence disabilities. A multi-element design was used to compare the accuracy of data recorded across three conditions: (a) immediately after a student's target behavior occurred, (b) immediately after the…
Descriptors: Special Education Teachers, Special Education, Disabilities, Comparative Analysis
Hilbig, Annemarie; Proske, Antje – Journal of Educational Multimedia and Hypermedia, 2014
Although academic writing is a complex interplay of comprehending and producing text the aspect of collecting information from source texts is hardly addressed in writing research. This study examined the impact of instructions supporting the collection process on writing quality, as well as the role of prior motivation and computer experience.…
Descriptors: Academic Discourse, Writing Assignments, Experimental Groups, Control Groups
Tekin, Ahmet – Eurasian Journal of Educational Research, 2014
Problem Statement: There has recently been interest in educational databases containing a variety of valuable but sometimes hidden data that can be used to help less successful students to improve their academic performance. The extraction of hidden information from these databases often implements aspects of the educational data mining (EDM)…
Descriptors: Foreign Countries, Prediction, Grade Point Average, Undergraduate Students
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
