A open science data repository and processing system for educational game data.
A open science data repository and processing system for educational game data.
A open science data repository and processing system for educational game data.
A open science data repository and processing system for educational game data.
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.
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.
Rachel Folger laughs when she recounts the time one of the students in her eighth grade social studies class exclaimed, “Whoa, Ms. Folger! Did you know that this is just what we’re doing in math?” Rachel is thrilled that her students—who typically “walk through their day in these very isolated subject areas”—are making connections across the curriculum.
Rachel Folger laughs when she recounts the time one of the students in her eighth grade social studies class exclaimed, “Whoa, Ms. Folger! Did you know that this is just what we’re doing in math?” Rachel is thrilled that her students—who typically “walk through their day in these very isolated subject areas”—are making connections across the curriculum.
The DataPBL project enlisted a team of teachers, data science educators, and researchers to co-design data experiences for the eighth grade Japanese American Internment curriculum module developed by EL Education. In the DataPBL version of the interdisciplinary project-based module, students analyze and visualize data in CODAP. Project research is studying how students tell stories with data and how this data storytelling contributes to students’ data agency and identity.
The DataPBL project enlisted a team of teachers, data science educators, and researchers to co-design data experiences for the eighth grade Japanese American Internment curriculum module developed by EL Education.
