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Showing 1 to 15 of 177 results Save | Export
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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
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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
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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
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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
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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
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
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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
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Forster, Michelle; Bestelmeyer, Stephanie; Baez-Rodriguez, Noelia; Berkowitz, Alan; Caplan, Bess; Esposito, Rhea; Grace, Elizabeth; McGee, Steven – Science Teacher, 2018
Thousands of students around the country have participated in activities using the Data Jam model, creating poetry, songs, videos, or sculpture to improve their data literacy, gain knowledge of local science research, and creatively express their findings. This article introduces the Data Jam model and describes how teachers can use it in…
Descriptors: Information Literacy, Scientific Literacy, Science Activities, Science Instruction
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Gullo, Gina Laura – Journal of Cases in Educational Leadership, 2018
Using data effectively is a critical skill for the modern school leaders. This case presents a school district where local interest groups are demanding changes regarding school safety and inclusion. Students have the opportunity to respond to a disciplinary equity audit and school climate survey. While interpreting and using data in a meaningful…
Descriptors: Educational Environment, School Surveys, Audits (Verification), School Safety
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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
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DeSantis, Larisa; DeSantis, Derek – Science Teacher, 2017
This article describes a lesson in which high school biology, ecology, environmental science, anatomy, and physiology students can devise hypotheses and test them with scientific data, identify unanswered questions, and design an additional study to answer those questions. This module connects students with exciting research and current science…
Descriptors: Animals, Death, Biodiversity, High School Students
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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
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Presser, Ashley Lewis; Kamdar, Danae; Vidiksis, Regan; Goldstein, Marion; Dominguez, Ximena; Orr, Jillian – Science and Children, 2017
Many preschool classrooms explore plant growth. However, because many plants take a long time to grow, it is often hard to facilitate engagement in some practices (i.e., since change is typically not observable from one day to another, children often forget their prior predictions or cannot recall what plants looked like days or weeks earlier).…
Descriptors: Plants (Botany), Preschool Children, Prediction, Science Experiments
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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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