AI in education has many potential uses as well as limits, challenges, and dangers.
AI in education has many potential uses as well as limits, challenges, and dangers. In this brief, the authors explore how to promote equitable and just educational futures with AI.
What are the opportunities and challenges for establishing community partnerships among K–12 STEM education researchers and Black and Brown communities?
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.
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.
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.
In this article, we explore demands and tensions involved when schools implement ambitious mathematics teaching (AMT).
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
