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MacKay, Jon – Journal of Statistics and Data Science Education, 2022
Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…
Descriptors: Pandemics, COVID-19, Visual Aids, Data Analysis
Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
Bowen, G. Michael; Bartley, Anthony – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2020
School science is often very different from "real world" science. One important difference, and possibly the main one, is that in school science the relationships between variables have often been sanitized -- essentially "cleaned up" -- so that there is very little (and often no) variation in the data from the relationship…
Descriptors: Science Instruction, Data, Science Activities, Authentic Learning
Van Houten, Lori; Dunn, Lenay; Bond, Molly Faulkner; Blitz, Jennifer; Makkonen, Reino; Austin, Kim – Regional Educational Laboratory West, 2021
This guide is designed to help district and school site leaders assess the professional learning needs of elementary school teachers to implement research-based recommendations for the instruction of English learner students. It comprises two tools--the Teacher Self-Reflection Tool and the Classroom Observation Tool--and outlines a 10-step process…
Descriptors: English Language Learners, Elementary School Teachers, Faculty Development, Evidence Based Practice
Leavy, Patricia, Ed. – Oxford University Press, 2020
"The Oxford Handbook of Qualitative Research, Second Edition" presents a comprehensive, interdisciplinary overview of the field of qualitative research. Divided into eight parts, the forty chapters address key topics in the field such as approaches to qualitative research (philosophical perspectives), narrative inquiry, field research,…
Descriptors: Qualitative Research, History, Ethics, Philosophy
Lit Hong Lee – International Journal on E-Learning, 2025
This study investigates the effectiveness of a modified flipped classroom that integrated with a technology-enhanced Predict-Observe-Explain strategy to improve students' self-regulated learning abilities, learning performance and science process skills in a secondary school in Hong Kong. An experimental group of modified flipped classroom (n =…
Descriptors: Independent Study, Academic Achievement, Science Process Skills, Flipped Classroom
Jeyaraj, Anand – Journal of Information Systems Education, 2019
Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…
Descriptors: Decision Making, Data Analysis, Visualization, Data Interpretation
Asay, Joel; Crable, Elaine; Sena, Mark – Information Systems Education Journal, 2022
In this teaching case, we describe an experiential learning project that allows students to perform sentiment analysis on a set of tweets (posts made on the social media platform, Twitter) by collecting and analyzing posts that include key words selected by the students. Sentiment analysis refers to the process of identifying and categorizing…
Descriptors: Experiential Learning, Student Projects, Social Media, Opinions
Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Swanson, Lauren; Vernon, Heather; Bauer, Christina – Science Teacher, 2018
Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…
Descriptors: Data Interpretation, Scientific Principles, Science Instruction, Science Activities
Slayter, Erik; Higgins, Lindsey M. – College Teaching, 2018
The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999; Stephenson and Caravello 2007). Data literacy, the ability to understand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013; Stephenson and Caravello,…
Descriptors: Problem Based Learning, Teaching Methods, Computer Software, Decision Making
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
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
Weingarten, Zachary; Zumeta Edmonds, Rebecca; Arden, Sarah – TEACHING Exceptional Children, 2020
A large body of research suggests that families' engagement in their children's education is a crucial factor in promoting school success for children and youth. Family engagement in school is associated with improved academic achievement and reductions in social and behavioral problems. Research also suggests that collaboration between schools…
Descriptors: Family School Relationship, Intervention, Elementary School Students, Family Involvement
Kazemi, Elham; Gibbons, Lynsey K.; Lomax, Kendra; Franke, Megan L. – Teaching Children Mathematics, 2016
Eliciting, responding to, and advancing students' mathematical thinking all lie at the heart of great teaching. In this article, the authors describe a formative assessment approach that teachers can use to learn more about their students' mathematical thinking and inform their instructional decisions. This assessment approach draws on a widely…
Descriptors: Mathematical Aptitude, Formative Evaluation, Instructional Effectiveness, Instructional Improvement

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