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Alison K. Cohen – Sage Research Methods Cases, 2014
This case study presents an example of using a generalized linear model with a log-linear link to calculate an adjusted risk ratio to be able to assess the association between educational attainment and obesity in a cohort study of American adults. Both risk ratios and odds ratios can be calculated based on cohort study data, and risk ratios are…
Descriptors: Models, Computation, Risk, Educational Attainment
Datnow, Amanda; Park, Vicki – Educational Leadership, 2015
School leaders are often drowning in data but are unsure which forms of data will help them create a portrait of student achievement that will motivate staff to look beyond simple trends and delve deeper into root causes. Teachers often wish for more guidance on the kinds of data analysis and teaching strategies that will help them move the needle…
Descriptors: Evaluation Utilization, Data, Data Analysis, Data Interpretation
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Sun, Yan; Strobel, Johannes; Newby, Timothy J. – Educational Technology Research and Development, 2017
Adopting a two-phase explanatory sequential mixed methods research design, the current study examined the impact of student teaching experiences on pre-service teachers' readiness for technology integration. In phase-1 of quantitative investigation, 2-level growth curve models were fitted using online repeated measures survey data collected from…
Descriptors: Student Teaching, Student Teacher Attitudes, Readiness, Technology Integration
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Kell, Clare; Sweet, John – Innovations in Education and Teaching International, 2017
This paper shows how peer observation of learning and teaching (POLT) discussions can be augmented through the use of a dynamic visual notation that makes visible for interpretation, elements of teacher-learner and learner-earner nonverbal interactions. Making visible the nonverbal, physical, spatial and kinesics (eye-based) elements of…
Descriptors: Observation, Peer Evaluation, Visual Aids, Protocol Analysis
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Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education
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Sezgin-Nartgün, Senay; Ekinci, Serkan – Universal Journal of Educational Research, 2016
This study aimed to identify administrators' views related to the assessment of school principals' reassignment in educational organizations. The study utilized qualitative research design and the study group composed of 8 school administrators selected via simple sampling who were employed in the Bolu central district in 2014-2015 academic year.…
Descriptors: Foreign Countries, Principals, Administrator Attitudes, School Administration
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Smit, Jantien; Bakker, Arthur; van Eerde, Dolly; Kuijpers, Maggie – Mathematics Education Research Journal, 2016
The importance of language in mathematics learning has been widely acknowledged. However, little is known about how to make this insight productive in the design and enactment of language-oriented mathematics education. In a design-based research project, we explored how language-oriented mathematics education can be designed and enacted. We drew…
Descriptors: Graphs, Language Proficiency, Data Interpretation, Scaffolding (Teaching Technique)
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Andrelchik, Hillary – International Journal of Qualitative Studies in Education (QSE), 2016
Action research, conducted by teachers in their own classrooms, with the goal of improving practice, is an invaluable practice that can provide insight into students' lives. One of the many challenges associated with action research is knowing how to analyze and interpret data. In this manuscript, written as a "how to" of sorts, I…
Descriptors: Discourse Analysis, Students, Action Research, Teacher Researchers
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Caldwell, Amanda; Hawe, Eleanor – Assessment Matters, 2016
Assessment can be powerful when teachers are able to analyse, interpret and use information in ways that enhance their teaching and programmes, and students' learning. A qualitative approach was used to investigate how teachers of Years 4-8 students analyse, interpret and use information gained from administration of the Progressive Achievement…
Descriptors: Data Use, Data Interpretation, Data Analysis, Achievement Tests
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Rebecca Shargel; B. P. Laster – English Journal, 2016
In this article, "havruta," the dominant strategy for textual higher learning where pairs pour over texts slowly to decipher and argue about the meaning with each other, is explored as an appropriate pedagogy. The author describes how to facilitate interpersonal and textual skills in the middle school and high school classrooms. Texts…
Descriptors: Students, Cooperative Learning, Text Structure, Dialogs (Language)
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Kastens, Kim; Krumhansl, Ruth; Baker, Irene – Science Teacher, 2015
This article is aimed at teachers already experienced with activities involving small, student-collected data sets and who are now ready to begin working with large, online data sets collected by scientists and engineers. The authors discuss challenges, instructional strategies, and sources of appropriate lesson plans. With guidance, plus online…
Descriptors: Science Instruction, Data Collection, Data Analysis, Data Interpretation
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Bennett, Kimberley Ann – Teaching Statistics: An International Journal for Teachers, 2015
Students may need explicit training in informal statistical reasoning in order to design experiments or use formal statistical tests effectively. By using scientific scandals and media misinterpretation, we can explore the need for good experimental design in an informal way. This article describes the use of a paper that reviews the measles mumps…
Descriptors: Statistical Analysis, Thinking Skills, Research Design, Data Interpretation
Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
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Piro, Jody S.; Hutchinson, Cynthia J. – New Educator, 2014
Recent public policy and research aimed at addressing student-achievement accountability in education may make it prudent for teacher-education programs to explicitly address data literacy as a valid outcome for their graduates. This article examines the changes in perceptions of comfort toward data-literacy behaviors before and after an…
Descriptors: Teacher Education Programs, Data Interpretation, Teacher Attitudes, Quasiexperimental Design
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Addis, Elizabeth A.; Powell-Coffman, Jo Anne – Journal of College Science Teaching, 2018
The Association of American Colleges and Universities ranks multiple process of science (POS) skills among the top-10 skills employers seek in college graduates. As part of an effort to explore and align the emphasis on POS skills in our science departments, we sought three things: (a) to determine if faculty and students felt enough time was…
Descriptors: College Students, College Science, Science Process Skills, Research Universities
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