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Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
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Ann M. Brearley; Kollin W. Rott; Laura J. Le – Journal of Statistics and Data Science Education, 2023
We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the…
Descriptors: Statistics Education, Data Interpretation, Teaching Methods, Biology
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Balaton, M. C.; Da Silva, L. F.; Carvalho, P. S. – Physics Education, 2020
In this paper, we aim to show strategies for improving graph interpretation skills at middle and high school students using OZOBOT® BIT, a small and relatively low-cost programmable robot which had been used to teach programming to young children. OZOBOT's speed can be controlled by drawing lines with colour codes, as well as through a visual…
Descriptors: Middle School Students, High School Students, Skill Development, Graphs
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Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
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Yates, Philip A. – Journal of Statistics Education, 2019
When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…
Descriptors: Factor Analysis, Mathematics Education, Regression (Statistics), Classification
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Naicker, Ramona – Education for Information, 2022
Racial bias in research impacts a study's relevancy, validity and reliability, though presently this aspect is not addressed in critical appraisal tools, and consequently appraisers may not take racial bias into account when assessing a paper's quality. Drawing on critical race theory (CRT) tenets that racism is ubiquitous and race a social…
Descriptors: Racism, Critical Race Theory, Disproportionate Representation, Minority Groups
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Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students
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Quiñones, Rosalynn; Kolling, Derrick R. J.; Shoup, Deben; Smythers, Amanda L.; Nickel, Sarah; Westfall,Tamara D.; Epperly, Courtney; Coplin, Miranda – Journal of Chemical Education, 2019
Melanoma, a type of cancer that develops in melanocytes, is usually caused by direct exposure of skin to ultraviolet (UV) radiation resulting in cellular damage. In this study, a procedure to determine the effects of various commercial sunscreens with SPF values ranging from 15 to 100 was developed using pig skin to mimic human skin. These…
Descriptors: Spectroscopy, Animals, Cancer, Radiation
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Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
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Lawrimore, Cassie; Surber, Emily A. – Proceedings of the Interdisciplinary STEM Teaching and Learning Conference, 2018
Students often struggle with the relationship between mathematical graphs and the data they represent. To truly understand types of evolutionary selection, students need to be proficient with several different skills in math, science, and literacy contexts. With math, students must be able to identify variables, design appropriate graphs based on…
Descriptors: Graphs, Evolution, High School Students, Biology
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Brown, Stephanie T.; McGreevy, Jeanette; Berigan, Nick – New Directions for Teaching and Learning, 2018
This chapter describes how any campus can use collaborative professional integration and three "data buckets" (pre-college, during-college, and post-college buckets) to disaggregate assessment evidence, interpret findings contextually, and focus attention on realistic actions to improve student performance in the areas of leverage over…
Descriptors: College Students, Academic Achievement, Data, Student Evaluation
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Ming Xie; H. L. Vacher; Steven Reader; Elizabeth Walton – Numeracy, 2018
We define quantitative map literacy (QML), a cross between map literacy and quantitative literacy (QL), as the concepts and skills required to accurately read, use, interpret, and understand the quantitative information embedded in a geospatial representation of data on a geographic background. Long used as tools in technical geographic fields,…
Descriptors: Map Skills, Numeracy, Mathematics Skills, Information Literacy
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Patel, Parth H.; Conrad, Kristofer L.; Pathiranage, Anuradha L.; Hiatt, Leslie A. – Journal of Chemical Education, 2020
Given student familiarity with electronic cigarettes (e-cigs), this lab uses a student-built smoke collection apparatus to collect e-cig vapors to teach students about gas chromatography-mass spectrometry (GC-MS). Students in a second semester, introductory organic chemistry course spent 1 week collecting e-cig vapors and 1 week qualitatively…
Descriptors: Organic Chemistry, Smoking, Electronic Equipment, Science Experiments
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Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
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