Gaming/Virtual Environments

Dissemination Toolkit: Social Media Outreach

Social Media IconJUST GETTING STARTED?

Author/Presenter: 
CADRE
Year: 
2017
Short Description: 
It seems like there are new tech and social media tools coming out every day. So what’s out there? And how can these tools be used to enhance your work?
Resource Type: 
Tool

Using online telescopes to explore exoplanets from the physics classroom

The search for habitable planets offers excellent opportunities to advance students’ understanding of core ideas in physics, including gravity and the laws of motion, the interaction of light and matter, and especially the nature of scientific inquiry. Thanks to the development of online telescopes, students can detect more than a dozen of the known exoplanets from the classroom, using data they gather, assess, and interpret for themselves. We present a suite of activities in which students apply basic physics concepts to their investigations of exoplanets.

Year: 
2012
Short Description: 
Authors present a suite of activities in which students apply basic physics concepts to their investigations of exoplanets. The activities were developed and successfully tested with physics and earth science teachers in secondary schools in 14 states.

The Computational Algorithmic Thinking (CAT) Capability Flow: An Approach to Articulating CAT Capabilities over Time in African-American Middle-school Girls

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that the solution solves the problem, and evaluating the solution based on some set of criteria.

Lead Organization(s): 
Year: 
2018
Short Description: 
This paper explores the CAT Capability Flow, which begins to describe the processes and sub-skills and capabilities involve in computational algorithmic thinking (CAT). To do this, authors engage in an approach which results in an initial flowchart that depicts the processes students are engaging in as an iteratively-refined articulation of the steps involved in computational algorithmic thinking.

Exploring African American Middle-School Girls' Perceptions of Themselves as Game Designers

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. Supporting Computational Algorithmic Thinking (SCAT) is a longitudinal project that explores the development of CAT capabilities by guiding African American middle-school girls through the iterative game design cycle, resulting in a set of complex games around broad themes.

Lead Organization(s): 
Year: 
2017
Short Description: 
This paper explores African American middle-school girls' perspectives of their experience with the Supporting Computational Algorithmic Thinking (SCAT) project and perceptions of themselves as game designers.

Exploring the Difficulties African-American Middle School Girls Face Enacting Computational Algorithmic Thinking over three Years while Designing Games for Social Change

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that the solution solves the problem, and evaluating the solution based on some set of criteria.

Lead Organization(s): 
Year: 
2017
Short Description: 
This article explores middle school girls' reflections about the difficulties they faced while using computational algorithmic thinking capabilities as they engaged in collaborative game design for social change. Authors focus on how these difficulties changed over the course of three years as well as new difficulties that emerged from year to year as girls become more expert game designers and computational algorithmic thinkers.

Understanding the Difficulties African-American Middle School Girls Face While Enacting Computational Algorithmic Thinking in the Context of Game Design

Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that it solves the problem, and evaluating the solution based on some set of criteria. CAT has roots in Mathematics, through problem solving and algorithmic thinking. CAT lies at the heart of Computer Science, which is defined as the study of algorithms.

Lead Organization(s): 
Year: 
2015
Short Description: 
This article introduces CAT as explored through the Supporting Computational Algorithmic Thinking (SCAT) project, an ongoing longitudinal between-subjects research project and enrichment program that guides African-American middle school girls (SCAT Scholars) through the iterative game design cycle resulting in a set of complex games around broad themes.

Game-Based Learning Assessments: Using Data from Digital Games to Understand Learning

STEM Categorization: 
Day: 
Thu

Discover how digital games can inform classroom teaching using data from innovative formative assessments from three different game-based projects.

Date/Time: 
9:30 am to 11:00 am
Session Materials: 

This session aims to open up a conversation about of how games can be used for formative assessment and how data from digital games can inform classroom teaching.

Session Types: 

Data-Intensive Research in Education: New Opportunities for Making an Impact

STEM Categorization: 
Day: 
Thu

Join a facilitated discussion about the application of data science to education, drawing on a recent NSF-sponsored report. Participants share insights from DR K–12 projects.

Date/Time: 
9:30 am to 11:00 am
Session Materials: 

The Computing Research Association’s report from an NSF-sponsored workshop describes seven next steps for data-intensive research in education:

Session Types: 

Pages

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