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Strategies for Fostering Authentic Community Partnerships in STEM Education Research

Report cover showing a group of adults collaborating around a table.What are the opportunities and challenges for establishing community partnerships among K–12 STEM education researchers and Black and Brown communities?

Author/Presenter

Ceily Moore, Tyrisse Silmone, Davon L. Breedlove, Terrell R. Morton

Year
2024
Short Description

What are the opportunities and challenges for establishing community partnerships among K–12 STEM education researchers and Black and Brown communities? CADRE partners interviewed five community partners from diverse backgrounds in STEM education to understand how STEM education researchers can better engage with communities and share their insights in this brief.

Resources from the NSF DRK-12 Solicitation: Partnership Development Project Type Webinar

Image
NSF logo
Author/Presenter

CADRE

Year
2024
Short Description

On June 11, 2024, NSF program officers provided clarification on the NSF DRK-12 solicitation's partnership development project type. On June 11, 2024, NSF program officers provided clarification on the NSF DRK-12 solicitation's partnership development project type. View the slides, chat log resources, and recording from this information session.

Demands, Tensions, and Resources When Implementing Ambitious Mathematics

In this article, we explore demands and tensions involved when schools implement ambitious mathematics teaching (AMT). Following a description of a framework that distinguishes between internal and external demands, we characterize the tension between these in terms of alignment, balance, and buffering, which collectively speak to coherence. We then describe AMT and how it represents a departure from traditional mathematics instruction found in most countries.

Author/Presenter

Jeffrey Choppin

Christine Green

William Zahner

Year
2024
Short Description

In this article, we explore demands and tensions involved when schools implement ambitious mathematics teaching (AMT).

Innovative Research Approaches to Mathematics Teacher Noticing

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Author/Presenter

Gabriele Kaiser

Thorsten Scheiner

Michal Ayalon

Karl W. Kosko

Nicole B. Kersting

Ceneida Fernandez

Alison Castro Superfine

Janet Walkoe

Anton Bastian

Jessica Hoth

Macarena Larrain Jory

Xinrong Yang

Ban Heng Choy

Lead Organization(s)
Year
2023
Short Description

This research forum explores innovative research approaches to teacher noticing in mathematics education, focusing on four key areas: theoretical perspectives and conceptualizations of teacher noticing, methodological approaches to the study of teacher noticing, teachers’ professional learning of noticing, and new research directions in teacher noticing.

Struggling to Detect Struggle in Students Playing a Science Exploration Game

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Author/Presenter

Xiner Liu

Stefan Slater

Juliana Ma. Alexandra L. Andres

Luke Swanson

Jennifer Scianna

David Gagnon

Ryan S. Baker

Year
2023
Short Description

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Struggling to Detect Struggle in Students Playing a Science Exploration Game

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Author/Presenter

Xiner Liu

Stefan Slater

Juliana Ma. Alexandra L. Andres

Luke Swanson

Jennifer Scianna

David Gagnon

Ryan S. Baker

Year
2023
Short Description

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Struggling to Detect Struggle in Students Playing a Science Exploration Game

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Author/Presenter

Xiner Liu

Stefan Slater

Juliana Ma. Alexandra L. Andres

Luke Swanson

Jennifer Scianna

David Gagnon

Ryan S. Baker

Year
2023
Short Description

The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.

Open Game Data: A Technical Infrastructure for Open Science with Educational Games

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches. We describe a modular data pipeline which begins with telemetry events from gameplay and ends with real time APIs and automated archival exports that support research. We demonstrate the usefulness of this infrastructure by summarizing several game research projects that have utilized and contributed back to Open Game Data.

Author/Presenter

David J. Gagnon

Luke Swanson 

Year
2023
Short Description

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches.

Open Game Data: A Technical Infrastructure for Open Science with Educational Games

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches. We describe a modular data pipeline which begins with telemetry events from gameplay and ends with real time APIs and automated archival exports that support research. We demonstrate the usefulness of this infrastructure by summarizing several game research projects that have utilized and contributed back to Open Game Data.

Author/Presenter

David J. Gagnon

Luke Swanson 

Year
2023
Short Description

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches.

Open Game Data: A Technical Infrastructure for Open Science with Educational Games

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches. We describe a modular data pipeline which begins with telemetry events from gameplay and ends with real time APIs and automated archival exports that support research. We demonstrate the usefulness of this infrastructure by summarizing several game research projects that have utilized and contributed back to Open Game Data.

Author/Presenter

David J. Gagnon

Luke Swanson 

Year
2023
Short Description

In this paper we describe a technical infrastructure, entitled Open Game Data, for conducting educational game research using open science, educational data mining and learning engineering approaches.