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Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2016
This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…
Descriptors: Meta Analysis, Academically Gifted, Research Methodology, Research Problems
Data Quality Campaign, 2016
All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…
Descriptors: Statistical Data, State Policy, Information Utilization, Decision Making
Rodriguez, Olga; Cuellar-Mejia, Marisol; Johnson, Hans – Public Policy Institute of California, 2016
This document presents the technical appendices that accompany the full report, "Determining College Readiness in California's Community Colleges: A Survey of Assessment and Placement Policies." The appendices include: (1) Survey Design and Administration; and (2) Survey Instrument. [This report was written with research support from…
Descriptors: College Readiness, Community Colleges, Educational Policy, Student Evaluation
Lillibridge, Fred; Swing, Randy L.; Jones, Darlena; Ross, Leah Ewing – Association for Institutional Research, 2016
The Association for Institutional Research (AIR) is engaged in a variety of efforts to document the current state of institutional research. In 2012, the Association initiated a critically important effort to identify the tasks involved in the work of institutional research (IR) across all titles and variations represented in its membership. This…
Descriptors: Institutional Research, Definitions, Leadership, Research Directors
National College Access Network, 2016
The phrase "data-driven" has been used with increasing frequency in the college access and success field in recent years. However, as with many frequently used phrases, its importance can get lost or written off as a buzzword. Being data-driven revolves around decisions being shaped by information and evidence rather than hunches, gut…
Descriptors: Program Improvement, Data, Data Collection, Information Management
Jennifer L. Kobrin – Sage Research Methods Cases, 2016
In winter 2014, I came upon an opportunity to conduct a case study on a team of middle school math teachers who initiated a study group to examine how a set of learning progressions could help them with their planning, instruction, and assessment. Learning progressions are research-based hypotheses about how students develop more sophisticated…
Descriptors: Middle School Mathematics, Middle School Teachers, Mathematics Teachers, Communities of Practice
Office of Educational Technology, US Department of Education, 2024
Digital health, safety, and citizenship skills reflect the full set of knowledge and habits students can adopt to protect themselves and others in online spaces. For schools and districts, protecting student health and safety while those skills develop means taking an approach that can include policies governing the use of school-provided…
Descriptors: LGBTQ People, Minority Group Students, Student Behavior, Safety
Boulden, Danielle Cadieux – Knowledge Quest, 2015
Learning analytics has been defined as the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. The potential use of data and learning analytics in educational contexts has caught the attention of educators and…
Descriptors: Educational Research, Data Collection, Data Analysis, School Libraries
Reich, Justin; Tingley, Dustin; Leder-Luis, Jetson; Roberts, Margaret E.; Stewart, Brandon M. – Journal of Learning Analytics, 2015
Dealing with the vast quantities of text that students generate in Massive Open Online Courses (MOOCs) and other large-scale online learning environments is a daunting challenge. Computational tools are needed to help instructional teams uncover themes and patterns as students write in forums, assignments, and surveys. This paper introduces to the…
Descriptors: Large Group Instruction, Online Courses, Data Collection, Data Analysis
Hewitt, Jim – Journal of Learning Analytics, 2015
The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several…
Descriptors: Retention (Psychology), Science Education, Educational Research, Data Collection
Knight, Simon; Littleton, Karen – Journal of Learning Analytics, 2015
This paper provides a novel, conceptually driven stance on the state of the contemporary analytic challenges faced in the treatment of dialogue as a form of data across on- and offline sites of learning. In prior research, preliminary steps have been taken to detect occurrences of such dialogue using automated analysis techniques. Such advances…
Descriptors: Dialogs (Language), Data Collection, Data Analysis, Artificial Intelligence
Robinson, Mitchell – Arts Education Policy Review, 2015
The music education profession is faced with two serious problems regarding the (mis)use of data in music teacher evaluation. The first has to do with the quality and kinds of data that music teachers have been forced to use; the second is concerned with how these data are being used in the music teacher evaluation process. The evidence I will use…
Descriptors: Music Education, Music Teachers, Teacher Evaluation, Data Analysis
Young, Anita; Gonzales, Ileana; Owen, Laura; Heltzer, Joselyn Vale – Professional School Counseling, 2015
School counselor preparation necessitates that new counselors are trained to build a comprehensive school counseling program, which means understanding how to use data to develop, implement, and evaluate their interventions. In spite of their school counseling training, first-year school counselors may feel unprepared to use data and lack the…
Descriptors: Counselor Training, School Counselors, Action Research, Models
Data Quality Campaign, 2015
If our destination is improved student achievement, we cannot get there without valuing and effectively using data in education. Central to reaching this goal is building trust among all those who have a stake in education that individual student data, such as attendance, course taking, grades, and test scores, are being collected for meaningful…
Descriptors: Data Collection, Data Analysis, Academic Achievement, State Departments of Education
Data Disaggregation for Inclusive Quality Education in Emergencies: The COVID-19 Experience in Ghana
Sayibu, Abdul Badi – Journal on Education in Emergencies, 2022
The process of data analysis provides, undoubtedly, some of the major challenges facing organizations during the implementation of interventions in emergencies. The challenges are primarily due to the lack of direct access to beneficiaries and the rapidly evolving nature of emergencies. This paper outlines how Plan International's Making Ghanaian…
Descriptors: Foreign Countries, Data Analysis, Barriers, Educational Television

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