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A Remote View into the Classroom: Analyzing Teacher Use of Digitally Enhanced Educative Curriculum Materials in Support of Student Learning

When integrated into online curriculum modules for students, educative curriculum materials (ECMs) can enhance teachers’ enactment of these modules. This study investigated (1) the use of digitally enhanced ECMs built into an online plate tectonics curriculum module by teachers with different backgrounds and teaching experience, (2) the relationship between teachers’ use of ECMs and student learning gains, and (3) teacher reflections on the value of the ECMs they used.

Author/Presenter

Trudi Lord

Hee-Sun Lee

Paul Horwitz

Sarah Pryputniewicz

Amy Pallant

Lead Organization(s)
Year
2023
Short Description

When integrated into online curriculum modules for students, educative curriculum materials (ECMs) can enhance teachers’ enactment of these modules. This study investigated (1) the use of digitally enhanced ECMs built into an online plate tectonics curriculum module by teachers with different backgrounds and teaching experience, (2) the relationship between teachers’ use of ECMs and student learning gains, and (3) teacher reflections on the value of the ECMs they used.

Opportunities for Research within the Data Science Education Community

This webinar provided early career data science education researchers with information on the state of the field; tools, curricula, and other resources for researchers; and insight into funding opportunities and proposal development. Participants explore topics, research interests, and problems of practice in more depth in breakout rooms with session leaders.

Author/Presenter

Katherine Miller, Chad Dorsey, The Concord Consortium; Kirsten Daehler, Leti Perez, WestEd; Kayla DesPortes, New York University; Nicholas Horton, Amherst College; Seth Jones, Middle Tennessee State University; Josephine Louie, Education Development Center; Josh Rosenberg, University of Tennessee, Knoxville; David Weintrop, University of Maryland

Lead Organization(s)
Year
2023
Short Description

This webinar provided early career data science education researchers with information on the state of the field; tools, curricula, and other resources for researchers; and insight into funding opportunities and proposal development. Participants explore topics, research interests, and problems of practice in more depth in breakout rooms with session leaders.

Socio-Scientific Learning During the COVID-19 Pandemic: Comparing In-person and Virtual Science Learning Using Model-Evidence Link Diagrams

Science learning is an important part of the K-12 educational experience, as well as in the lives of students. This study considered students’ science learning as they engaged in the instruction of scientific issues with social relevance. With classroom environments radically changing during the COVID-19 pandemic, our study adapted to teachers and students as they were forced to change from more traditional, in-person instructional settings to virtual, online instruction settings.

Author/Presenter

Nancy Gans

Vivian Zohery

Joshua B. Jaffe

Anissa Ahmed

Luke Kim

Doug Lombardi

Lead Organization(s)
Year
2023
Short Description

Science learning is an important part of the K-12 educational experience, as well as in the lives of students. This study considered students’ science learning as they engaged in the instruction of scientific issues with social relevance. With classroom environments radically changing during the COVID-19 pandemic, our study adapted to teachers and students as they were forced to change from more traditional, in-person instructional settings to virtual, online instruction settings.

Integrative Analysis Using Big Ideas: Energy Transfer and Cellular Respiration

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings. We illustrate the characteristics and value of integrative analysis within an empirical study of student learning in 9th-grade biology.

Author/Presenter

Jonathan T. Shemwell

Daniel K. Capps

Ayca K. Fackler

Carlson H. Coogler

Year
2023
Short Description

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings.

Integrative Analysis Using Big Ideas: Energy Transfer and Cellular Respiration

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings. We illustrate the characteristics and value of integrative analysis within an empirical study of student learning in 9th-grade biology.

Author/Presenter

Jonathan T. Shemwell

Daniel K. Capps

Ayca K. Fackler

Carlson H. Coogler

Year
2023
Short Description

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings.

Integrative Analysis Using Big Ideas: Energy Transfer and Cellular Respiration

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings. We illustrate the characteristics and value of integrative analysis within an empirical study of student learning in 9th-grade biology.

Author/Presenter

Jonathan T. Shemwell

Daniel K. Capps

Ayca K. Fackler

Carlson H. Coogler

Year
2023
Short Description

Big ideas in science education are meant to be interpretive frameworks that empower student learning. Unfortunately, outside of the broad conception of scientific evaluation, there are few theoretical explanations of how this might happen. Therefore, we contribute one such explanation, an instructional concept called integrative analysis wherein students use a big idea to interconnect isolated scenarios and enrich their meanings.

Science Teaching and Learning in Linguistically Super-Diverse Multicultural Classrooms

American schools are becoming more linguistically diverse as immigrants and resettled refugees who speak various languages and dialects arrive at the United States from around the world. This demographic change shifts US classrooms toward super-diversity as the new norm or mainstream in all grade levels (Enright 2011; Park, Zong and Batalova 2018; Vertovec 2007). In super-diverse classroom contexts, students come from varied migration channels, immigration statuses, languages, countries of origin, and religions, which contribute to new and complex social configurations of the classroom.

Author/Presenter

Minjung Ryu

Jocelyn Elizabeth Nardo

Mavreen Rose S. Tuvilla

Camille Gabrielle Love 

Year
2022
Short Description

In super-diverse classroom contexts, students come from varied migration channels, immigration statuses, languages, countries of origin, and religions, which contribute to new and complex social configurations of the classroom. Super-diversity thus encourages educators and researchers to draw on nuanced understandings of the complexity that it brings to bear in educational settings and reconsider instructional approaches that we have believed to be effective. This chapter provides an insight into the complexity of teaching science in linguistically super-diverse classrooms with the case of Riverview High School.

Preparing for a Data-Rich World: Civic Statistics Across the Curriculum

Civic Statistics by its nature is highly interdisciplinary. From a cross-curricular perspective, teaching and learning Civic Statistics faces specific challenges related to the preparation of teachers and the design of instruction. This chapter presents examples of how Civic Statistics resources and concepts can be used in different courses and subject areas. Because topical issues and current data are central to these resources, we recognise that the original ProCivicStat resources will become outdated in time.

Author/Presenter

Joachim Engel

Josephine Louie

Year
2023
Short Description

Civic Statistics by its nature is highly interdisciplinary. From a cross-curricular perspective, teaching and learning Civic Statistics faces specific challenges related to the preparation of teachers and the design of instruction. This chapter presents examples of how Civic Statistics resources and concepts can be used in different courses and subject areas.

Advancing Social Justice Learning Through Data Literacy

Students need “critical data literacy” skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum modules they developed—one on income equality, one on immigration—that help students learn to analyze data in order to shed light on complex social issues and evaluate claims about those issues.

Author/Presenter
Josephine Louie

Emily Fagan

Jennifer Stiles

Soma Roy

Beth Chance

Year
2023
Short Description

Students need “critical data literacy” skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum modules they developed—one on income equality, one on immigration—that help students learn to analyze data in order to shed light on complex social issues and evaluate claims about those issues.

MindHive: An Online Citizen Science Tool and Curriculum for Human Brain and Behavior Research

MindHive is an online, open science, citizen science platform co-designed by a team of educational researchers, teachers, cognitive and social scientists, UX researchers, community organizers, and software developers to support real-world brain and behavior research for (a) high school students and teachers who seek authentic STEM research experiences, (b) neuroscientists and cognitive/social psychologists who seek to address their research questions outside of the lab, and (c) community-based organizations who seek to conduct grassroots, science-based research for policy change.

Author/Presenter

Suzanne Dikker

Yury Shevchenko

Kim Burgas

Kim Chaloner

Marc Sole

Lucy Yetman-Michaelson

Ido Davidesco

Rebecca Martin

Camillia Matuk

Lead Organization(s)
Year
2022
Short Description

MindHive is an online, open science, citizen science platform co-designed by a team of educational researchers, teachers, cognitive and social scientists, UX researchers, community organizers, and software developers to support real-world brain and behavior research for (a) high school students and teachers who seek authentic STEM research experiences, (b) neuroscientists and cognitive/social psychologists who seek to address their research questions outside of the lab, and (c) community-based organizations who seek to conduct grassroots, science-based research for policy change.