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Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation
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Camillia Matuk; Ralph Vacca; Anna Amato; Megan Silander; Kayla DesPortes; Peter J. Woods; Marian Tes – Information and Learning Sciences, 2024
Purpose: Arts-integration is a promising approach to building students' abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this…
Descriptors: Middle School Teachers, Art Education, Art Teachers, Data
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Amanda Galbraith; Joy G. Bertling; Tabitha Wandell; Rita Swartzentruber; Lynn Hodge – Art Education, 2024
Data are storied, often with rich histories and powerful stories to tell, yet often presented in a format that belies these stories. The arts can help put the body back into seemingly disembodied data. Arts-based approaches can help students embrace the storied nature of data and leverage the power of stories to affect change. Rahul Bhargava et…
Descriptors: Visual Aids, Data, Art Education, STEM Education
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Panchompoo Wisittanawat; Richard Lehrer – Cognition and Instruction, 2024
This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…
Descriptors: Statistics Education, Mathematical Models, Grade 6, Evaluation Methods
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Tamar Fuhrmann; Leah Rosenbaum; Aditi Wagh; Adelmo Eloy; Jacob Wolf; Paulo Blikstein; Michelle Wilkerson – Science Education, 2025
When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…
Descriptors: Mechanics (Physics), Thinking Skills, Scientific Concepts, Concept Formation
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Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
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Reinholz, Daniel; Shah, Niral – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This manuscript focuses on the role of data analytics in mediating how teachers make sense of racial and gender inequity in patterns of student participation in their classrooms. Five middle school mathematics teachers participated in a year-long professional development program, centered on data analytics generated by the EQUIP observation tool.…
Descriptors: Equal Education, Visual Aids, Racial Bias, Gender Bias
Erin Ottmar; Ji-Eun Lee; Kirk Vanacore; Siddhartha Pradhan; Lauren Decker-Woodrow; Craig A. Mason – Grantee Submission, 2023
This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including "From Here to There!", a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students' data collected through a randomized control trial conducted in…
Descriptors: Data, Mathematics Achievement, Algebra, Educational Technology
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Hardy, Lisa; Dixon, Colin; Hsi, Sherry – Journal of the Learning Sciences, 2020
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly…
Descriptors: Data Collection, Data Analysis, Science Instruction, Grade 9
Bianca Croutch – ProQuest LLC, 2023
U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…
Descriptors: Mathematics Teachers, Middle School Teachers, Teacher Attitudes, Mathematics Instruction
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Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
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Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
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Golnaz Arastoopour Irgens; Danielle Herro; Ashton Fisher; Ibrahim Adisa; Oluwadara Abimbade – Journal of Experimental Education, 2024
The importance of data literacies and the shortage of research surrounding data science in elementary schools motivated this research-practice partnership (RPP) between researchers and teachers from a STEM elementary school. We used a narrative case study methodology to describe the instructional practices of one music teacher who co-designed a…
Descriptors: Elementary School Teachers, Grade 5, Music Teachers, Music Education
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Beverly Cheri Neal – International Journal of Educational Administration and Policy Studies, 2024
The purpose of the study was to better understand the extent to which middle school principals' transformational leadership styles affect teachers' data-informed instruction, the influence of teachers' data-informed instruction on middle school student achievement, and the extent to which transformational leaders affect student achievement through…
Descriptors: Transformational Leadership, Data Use, Teaching Methods, Academic Achievement
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Reed, Megan H.; Jenkins, Tom; Kenyon, Lisa – Science Teacher, 2019
Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…
Descriptors: Natural Resources, Biodiversity, Grade 9, Ecology
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