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1. You Say Brutal, I Say Thursday: Isn't It Obvious?

   https://doi.org/10.51272/pmena.42.2020-175  

   Sword, S; Marshall, A.; Young, M. (May 2021, PME-NA)
2. Poster Session: You say brutal, I say Thursday: Isn't it obvious?

   Sword, S.; Marshall, A.; Young, M. (January 2020, Mathematics Education Across Cultures: Proceedings 42nd PME-NA)

   Sacristán, A.; Cortés-Zavala, J. & (Ed.)

   Programmatic collaborations involving mathematicians and educators in the U.S. have been valuable but complex (e.g., Heaton & Lewis, 2011; Bass, 2005; Bass & Ball, 2014). Sultan & Artzt (2005) offer necessary conditions (p.53) including trust and helpfulness. Articles in Fried & Dreyfus (2014) and Bay-Williams (2012) describe outcomes from similarly collaborative efforts; however, there is a gap in the literature in attending to how race and gender intersect with issues of professional status, culture, and standards of practice. Arbaugh, McGraw and Peterson (2020) contend that “the fields of mathematics education and mathematics need to learn how to learn from each other - to come together to build a whole that is greater than the sum of its parts” (p. 155). Further, they posit that the two must “learn to honor and draw upon expertise related to both similarities and differences” across disciplines, or cultures. We argue that in order to do this, we must also take into account race, gender, language. For example, words like trust or helpfulness can read very differently when viewed from personal and professional culture, gender, or racial lenses. This poster shares personal vignettes from the perspective of three collaborators – one black male mathematician, one white female mathematics educator, and one white woman who was trained as a mathematician but works as a mathematics educator - illustrating some of the complexity of collaboration. 

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3. Soft Robotics: If You Can Dream It, Can You Print It?

   https://doi.org/10.3389/frym.2024.1401789  

   Williamson, John Garrett; Schell, Caroline; Keller, Michael; Schultz, Joshua (August 2024, Frontiers for Young Minds)

   You can print anything... or can you? 3D printing is an exciting new technology that promises to very quickly create anything people can design. Scientists who want to make soft robots, like Baymax from Big Hero 6^TM, are excited about 3D printers. Our team uses 3D printing to make molds to produce soft robots. Molding is like using a muffin tin to make cupcakes. But can you make anything with 3D printing or are there times when 3D-printed molds do not work? Just like a cupcake liner, 3D-printed molds leave ridges, like a Ruffles potato chip, in soft robots. These ridges are a weak point where cracks can form, causing the robot to pop like a balloon. To prevent this, we sometimes need to make our robots using very smooth molds made from metal. This article talks about when and how 3D printing is useful in making soft robots. 

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4. You Don’t Say....Linguistic Features in Sarcasm Detection

   Ducret M.; Kruse L.; Martinez C.; Feldman A.; Peng, J. (January 2021, CLIC-IT 2021: Seventh Italian Conference on Computational Linguistics Bologna)

   We explore linguistic features that contribute to sarcasm detection. The linguistic features that we investigate are a combination of text and word complexity, stylistic and psychological features. We experiment with sarcastic tweets with and without context. The results of our experiments indicate that contextual information is crucial for sarcasm prediction. One important observation is that sarcastic tweets are typically incongruent with their context in terms of sentiment or emotional load. 

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5. I Say, You Say, We Say: Using Spoken Language to Model Socio-Cognitive Processes during Computer-Supported Collaborative Problem Solving

   https://doi.org/10.1145/3359296  

   Stewart, Angela E.B.; Vrzakova, Hana; Sun, Chen; Yonehiro, Jade; Stone, Cathlyn Adele; Duran, Nicholas D.; Shute, Valerie; D'Mello, Sidney K. (November 2019, Proceedings of the ACM on Human-Computer Interaction)