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Johnson, Roger W. – Teaching Statistics: An International Journal for Teachers, 2017
It is suggested that students collect interarrival data for customers arriving at a queue. Two common features will often occur across these various datasets. Some data collection hints, some problems for students to pursue and a few pointers to the literature are given.
Descriptors: Data Collection, Consumer Science, Problem Solving
Coburn, Katrina; Keating, Kim; Jennings-Shaffer, Jennifer – ZERO TO THREE, 2021
This article explores the many ways in which states can and are addressing racial equity in problem solving and policymaking. The authors explore national data that make the case for addressing bias and advancing equity in state policy; share strategies and best practices for engaging families and communities; and provide examples of policies that…
Descriptors: Racial Bias, Equal Education, State Policy, Best Practices
Guler, Mustafa; Gursoy, Kadir; Guven, Bulent – Cogent Education, 2016
Understanding and interpreting biased data, decision-making in accordance with the data, and critically evaluating situations involving data are among the fundamental skills necessary in the modern world. To develop these required skills, emphasis on statistical literacy in school mathematics has been gradually increased in recent years. The…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Data Interpretation
Knapp, Laura G.; Glennie, Elizabeth; Charles, Karen J. – RTI International, 2016
People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might…
Descriptors: Data, Decision Making, Educational Improvement, Academic Achievement
Walker, Kristen L.; Moran, Nora – Journal of Marketing Education, 2019
The marketing field is undergoing dramatic shifts in the digital age. The increasing reliance on, collection, and use of data enabled by technological innovations requires teaching the responsible use of data for personalization, and marketing educators play a critical role. Students, universities, accrediting agencies, and employers demand…
Descriptors: Data Use, Social Responsibility, Consumer Economics, Business Administration Education
Fincham, Ed; Gasevic, Dragan; Jovanovic, Jelena; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2019
Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature that has extracted invaluable information from such sources, it suffers from a number of shortcomings. For instance, it has been shown that surveys often provide insight into students' perceptions about learning rather…
Descriptors: Study Habits, Learning Strategies, Independent Study, Educational Research
Peterson, Jean S. – Gifted Child Quarterly, 2019
Intended to guide scholars who are new to qualitative research, this methods brief focuses mostly on what reviewers look for in manuscripts submitted for publication. The author acknowledges that reviewers' preferences likely reflect their theoretical perspectives, research-oriented coursework, mentors, and research and writing experiences. The…
Descriptors: Academically Gifted, Qualitative Research, Educational Research, Vocabulary
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
Bussey, Karen; Dancy, Kim; Voight, Mamie – Institute for Higher Education Policy, 2019
Accurately evaluating what works -- and what doesn't -- to improve student progression through higher education requires the robust use of reliable data. States play a pivotal role in compiling and using data to empower student choice, spur continuous institutional and system improvement, and develop evidence-based solutions that promote college…
Descriptors: Postsecondary Education, Evidence Based Practice, Data Collection, Data Use
Bresina, Britta Cook; McMaster, Kristen L. – Journal of Learning Disabilities, 2020
Data from a small randomized control trial of teachers' use of Data-Based Instruction (DBI) for early writing were analyzed to determine the influence of teacher knowledge, skills, and treatment fidelity on student Curriculum-Based Measurement (CBM) slope. Participants included 11 elementary grade teachers who delivered intensive intervention in…
Descriptors: Knowledge Base for Teaching, Teaching Skills, Writing Instruction, Curriculum Based Assessment
Advance CTE: State Leaders Connecting Learning to Work, 2020
In March 2020, Advance CTE and the Association for Career and Technical Education (ACTE) convened a Shared Solutions Workgroup of state and national experts to explore strategies for effective Career Technical Education (CTE) data reporting and communication. Over a series of meetings, the workgroup co-designed a set of tools and resources to help…
Descriptors: Vocational Education, Information Dissemination, Communication Strategies, Audiences
Nowicki, Jacqueline – US Government Accountability Office, 2020
Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…
Descriptors: Discipline, Behavior Modification, Public Schools, School Districts
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Jane Watson; Noleine Fitzallen – Australian Primary Mathematics Classroom, 2024
Statistics need data and data need context. Contexts from across the curriculum can be the most powerful in creating interest, reward, and enthusiasm for both teachers and students. The activity described here is based in STEM, employing aspects of each field to create and solve a hypothetical problem of escaping from an erupting volcano (Science)…
Descriptors: Foreign Countries, Elementary School Curriculum, Elementary School Mathematics, Elementary School Science
Jack Bradstreet; Catherine Marren; Danny Price; Alex Stevenson; Ellen Wood – Learning and Work Institute, 2024
This review, commissioned by the West Midlands Combined Authority (WMCA), explored the extent to which investment in ESOL provision is meeting need in the region and how learner outcomes can be improved and accelerated. The research found that: (1) Demand for ESOL provision is outstripping supply, and demand is increasing each year; (2) Refugees,…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Educational Needs

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