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Data Quality Campaign, 2023
The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…
Descriptors: Parent Attitudes, Data Collection, Information Dissemination, Parents
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Morsomme, Raphaël; Alferez, Sofia Vazquez – International Educational Data Mining Society, 2019
Liberal Arts programs are often characterized by their open curriculum. Yet, the abundance of courses available and the highly personalized curriculum are often overwhelming for students who must select courses relevant to their academic interests and suitable to their academic background. This paper presents the course recommender system that we…
Descriptors: Liberal Arts, Course Selection (Students), Courses, College Students
Fladd, Laurie; Heacock, Laurie; Hill-Kelley, Jennifer; Lawton, Julia; Pechac, Sharmaine; Shamah, Devora; Woodruff, Amber – Achieving the Dream, 2021
This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…
Descriptors: Instructional Leadership, Instructional Design, Holistic Approach, Higher Education
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Idil, Feriha Hande; Narli, Serkan; Aksoy, Esra – International Journal of Education in Mathematics, Science and Technology, 2016
The aim of this study is to examine middle school students' attitude towards mathematics in the context of their mathematic learning preferences using data mining which is data analysis methodology that has been successfully used in different areas including educational domains. "How do I actually learn?" questionnaire and attitude scale…
Descriptors: Mathematics Instruction, Middle School Students, Student Attitudes, Secondary School Mathematics
McIntosh, Kent; Barnes, Aaron; Eliason, Bert; Morris, Kelsey – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2014
The problem of racial and ethnic discipline disproportionality is both long-standing and widespread. Educators must address this issue by identifying rates of discipline disproportionality, taking steps to reduce it, and monitoring the effects of intervention on disproportionality. The purpose of this guide is to provide a reference for…
Descriptors: Positive Behavior Supports, Intervention, Racial Differences, Ethnic Groups
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Baum, Sandy; Cunningham, Alisa; Tanenbaum, Courtney – Change: The Magazine of Higher Learning, 2015
The level of educational attainment in the United States is a central focus of public policy. The Obama administration, some states, large national foundations, and other organizations have set near-term goals to increase the number of Americans with college degrees. Achieving these goals is likely to involve a combination of increasing…
Descriptors: Educational Attainment, Higher Education, Educational Policy, Goal Orientation
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Van Hecke, T. – PRIMUS, 2011
Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…
Descriptors: Student Characteristics, Evaluation Methods, College Mathematics, Mathematics Instruction
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Zweig, Jacqueline; Irwin, Clare W.; Kook, Janna Fuccillo; Cox, Josh – Regional Educational Laboratory Northeast & Islands, 2015
The purpose of this study is to describe what data preschools in a mid-sized city in the Northeast collect, how they use that data, and the challenges they face. The study focuses on three types of data: early learning outcomes, dosage (i.e., the amount of exposure to early childhood education), and classroom quality. The report further…
Descriptors: Preschool Education, Data Collection, Early Childhood Education, Educational Quality
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Zweig, Jacqueline; Irwin, Clare W.; Kook, Janna Fuccillo; Cox, Josh – Regional Educational Laboratory Northeast & Islands, 2015
This "Stated Briefly" report is a companion piece that summarizes the results of another report of the same name. This study explores how seven early childhood education programs in a mid-sized city in the Northeast region are collecting and using data, how they would like to use data, how they could use the data that they have, and the…
Descriptors: Preschool Education, Data Collection, Early Childhood Education, Educational Quality
Workinger, Heather A. – ProQuest LLC, 2011
The purpose of this study was to analyze admissions policies pertaining to the declaration of academic majors for incoming students and structures of academic advising at American universities and how they relate to student outcomes. The student outcomes considered for the study were first to second year retention rates and graduation rates. …
Descriptors: College Admission, Educational Policy, Content Analysis, College Students
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success
Slawski, Carl – 1978
Since data from student evaluations of teachers are too often treated as though they were based upon superficial opinion surveys, this paper suggests a policy for evaluating teachers. The policy amounts in part to a method of jury selection, the jury being the student raters of a course. Several control variables with questionnaire items are…
Descriptors: College Faculty, Course Evaluation, Data Collection, Decision Making
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Beronja, Terry A.; Bee, Richard H. – NACADA Journal, 1986
As enrollments in engineering programs soar, many schools have been forced to control enrollment, resulting in a large population of pre-engineering majors. To aid in the understanding and advising of these majors, student profiles reflecting motivation patterns are presented. (MLW)
Descriptors: Career Choice, College Students, Data Analysis, Data Collection
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Bess, James L. – Journal of Higher Education, 1979
Improving the quality of classroom, academic, and management decisions through more intelligent and systematic use of student data is addressed. Kinds of student-data users are classified, variables of student attitudes and behavior relevant to each user are identified, and relevant published instruments are listed. (Author/JMD)
Descriptors: College Administration, College Students, Data Collection, Decision Making
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