Methodological Considerations for Understanding Students’ Problem Solving Processes and Affective Trajectories During Game-Based Learning: A Data Fusion Approach
Methodological Considerations for Understanding Students’ Problem Solving Processes and Affective Trajectories During Game-Based Learning: A Data Fusion Approach

This study explores data fusion methods to understand student emotions and problem solving in computational thinking games.

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Inclusive VR through Inclusive Co-Design with Neurodiverse Learners
Inclusive VR through Inclusive Co-Design with Neurodiverse Learners

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What to Consider When We Consider Data
What to Consider When We Consider Data

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Designer Considerations and Processes in Developing School-Based Citizen-Science Curricula for Environmental Education
Designer Considerations and Processes in Developing School-Based Citizen-Science Curricula for Environmental Education

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From “You have to have three numbers and a plus sign” to “It’s the exact same thing”: K–1 students learn to think relationally about equations.
From “You have to have three numbers and a plus sign” to “It’s the exact same thing”: K–1 students learn to think relationally about equations.

This study shows how K–1 students’ understanding of equations and the equal sign progressed through early algebra instruction.

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A learning trajectory in Kindergarten and first grade students’ thinking of variable and use of variable notation to represent indeterminate quantities
A learning trajectory in Kindergarten and first grade students’ thinking of variable and use of variable notation to represent indeterminate quantities

This study explores how K–1 students develop understanding of variables and indeterminate quantities in early algebra.

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Co-Teaching with an Immersive Digital Game: Supporting Teacher-Game Instructional Partnerships
Co-Teaching with an Immersive Digital Game: Supporting Teacher-Game Instructional Partnerships

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TERC’s Nuria Jaumot-Pascual, Mia Ong, Christina Silva, and Audrey Martínez-Gudapakkam presented their paper “Women of Color in Computing Graduate Education: Structural Supports and Navigation Strategies for a Hostile Culture” at the RESPECT conference on May 27, 2021.
TERC’s Nuria Jaumot-Pascual, Mia Ong, Christina Silva, and Audrey Martínez-Gudapakkam presented their paper “Women of Color in Computing Graduate Education: Structural Supports and Navigation Strategies for a Hostile Culture” at the RESPECT conference on May 27, 2021.

Watch a recording of their presentation here.

Download the peer-reviewed conference proceedings from the session 

Abstract: This paper presents themes that emerge from empirical literature on women of color (WOC) in computer science (CS) graduate education. We ask, according to the literature, what factors affect the experiences, participation, and advancement of WOC in CS graduate degrees? The findings are drawn from a subset of literature on graduate education from our National Science Foundation-funded project, Literature Analysis and Synthesis of Women of Color in Technology and Computing. Findings of on-campus social supports include student support groups and peers who provided community,  » Read more

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Revealing Students’ Stories As They Construct and Use a Statistical Model in Tinkerplots to Conduct a Randomization Test for Comparing Two Groups
Revealing Students’ Stories As They Construct and Use a Statistical Model in Tinkerplots to Conduct a Randomization Test for Comparing Two Groups

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U!Scientist: Designing for People-Powered Research in Museums
U!Scientist: Designing for People-Powered Research in Museums

This article presents the design and evaluation of U!Scientist, an interactive multi-person tabletop exhibit based on the online Zooniverse project, Galaxy Zoo.

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