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1. Teacher practices for culturally responsive math modeling in grades K-2.

   Turner, E.; Carlson, M.; Aguirre, J.; Suh, J.; Brown, J.; Greene, M.; McVicar, E. (November 2024, North American Chapter of the International Group for the Psychology of Mathematics Education)

   Lamberg, T. (Ed.)

   There is growing recognition that mathematical modeling can be a lever for equity in elementary mathematics classrooms. This study focuses on the impact of a professional development program focused on culturally responsive mathematical modeling on 8 kindergarten through 2nd grade teachers’ practices in modeling lessons. We use a project developed observation tool to evaluate two video recorded modeling lessons from each teacher (16 total). Findings focus on patterns in the strengths and challenges in primary grade teachers’ practices for teaching modeling, including how teachers’ practices align with culturally responsive teaching. We discuss implications of our findings for the design and refinement of professional development. 

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2. “Weebles wobble but they also commit to lifelong relationships”: teachers’ transdisciplinary learning in computational play

   https://doi.org/10.1186/s40594-022-00373-9  

   Gravel, Brian_E; Millner, Amon; Tucker-Raymond, Eli; Olivares, Maria_C; Wagh, Aditi (September 2022, International Journal of STEM Education)

   Abstract BackgroundComputational approaches in STEM foster creative extrapolations of ideas that extend the bounds of human perception, processing, and sense-making. Inviting teachers to explore computational approaches in STEM presents opportunities to examine shifting relationships to inquiry that support transdisciplinary learning in their classrooms. Similarly, play has long been acknowledged as activity that supports learners in taking risks, exploring the boundaries and configurations of existing structures, and imagining new possibilities. Yet, play is often overlooked as a crucial element of STEM learning, particularly for adolescents and adults. In this paper, we explorecomputational playas an activity that supports teachers’ transdisciplinary STEM learning. We build from an expansive notion of computational activity that involves jointly co-constructing and co-exploring rule-based systems in conversation with materials, collaborators, and communities to work towards jointly defined goals. We situate computation within STEM-rich making as a playful context for engaging in authentic, creative inquiry. Our research asksWhat are the characteristics of play and computation within computational play? And, in what ways does computational play contribute to teachers’ transdisciplinary learning? ResultsTeachers from grades 3–12 participated in a professional learning program that centered playful explorations of materials and tools using computational approaches: making objects based on rules that produce emergent behaviors and iterating on those rules to observe the effects on how the materials behaved. Using a case study and descriptions of the characteristics of computational play, our results show how familiarity of materials and the context of play encouraged teachers to engage in transdisciplinary inquiry, to ask questions about how materials behave, and to renegotiate their own relationships to disciplinary learning as they reflected on their work. ConclusionsWe argue computational play is a space of wonderment where iterative conversations with materials create opportunities for learners to author forms of transdisciplinary learning. Our results show how teachers and students can learn together in computational play, and we conclude this work can contribute to ongoing efforts in the design of professional and transdisciplinary learning environments focused on the intersections of materiality, play, and computation. 

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3. Towards the development of personalized learning companion robots for early speech and language assessment

   https://doi.org/10.302/1431402  

   Yeung, Gary; Afshan, Amber; Quintero, Marlen; Martin, Alejandra; Spaulding, Samuel; Park, Hae Won; Bailey, Alison; Breazeal, Cynthia; and Alwan, Abeer. (April 2019, 2019 Annual Meeting of the American Educational Research Association (AERA))

   This pilot study investigated the feasibility of implementing child-friendly robots for administering clinical and educational assessments with young children. JIBO, a social robot, was used as a new interface to administer a letter and number naming task and the 3rd Goldman Fristoe Test of Articulation (GFTA-3). The reason for using these assessment materials is to develop robust automatic speech recognition (ASR) and automated social interaction systems that can aid in administering such assessments more efficiently. The voice of JIBO simulates interaction with a peer, and images and playful transitions are displayed on JIBO’s face/screen. Several preliminary observations with 15 pre-kindergarten and 18 kindergarten students included the rate of task completion and strategies to increase student participation. Changes to the length and prompt delivery of the assessment protocol were considered based on these observations, and further observations are planned for future work with an additional cohort of 43 prekindergarten and 50 kindergarten students. Recommendations are given to inform future implementations and analyses. 

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4. Epistemological Pluralism for Diversifying Preservice Early Childhood Teachers’ Programming Experience

   Kim, C.; Belland, B. R.; Umutlu, D. (April 2020, Annual meeting program American Educational Research Association)

   Research indicates that computer programming in a bricolage manner is equally strong as structure programming. In this study, we investigated how and why 26 preservice, early childhood teachers learning to program employed diverse approaches to programming. Data included classroom videos, interviews, written reflections, submitted code, and questionnaires. Analysis involved open and axial coding. Findings included (a) all tinkered through trial and error but this does not mean that analytical means were never used, (b) divide-and-conquer was practiced, (c) analytical means were often used in locating the bug whereas tinkering was used mostly in fixing the bug, (d) unnoticing when/where to tinker compromised the programming goal, and (e) robot programming was perceived as creative, artistic, and playful. 

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5. Exploring the Role of Social Robot Behaviors in a Creative Activity

   https://doi.org/10.1145/3461778.3462116  

   Hu, Yaxin; Feng, Lingjie; Mutlu, Bilge; Admoni, Henny (June 2021, Designing Interactive Systems Conference (DIS))

   null (Ed.)

   Robots are increasingly being introduced into domains where they assist or collaborate with human counterparts. There is a growing body of literature on how robots might serve as collaborators in creative activities, but little is known about the factors that shape human perceptions of robots as creative collaborators. This paper investigates the effects of a robot’s social behaviors on people’s creative thinking and their perceptions of the robot. We developed an interactive system to facilitate collaboration between a human and a robot in a creative activity. We conducted a user study (n = 12), in which the robot and adult participants took turns to create compositions using tangram pieces projected on a shared workspace. We observed four human behavioral traits related to creativity in the interaction: accepting robot inputs as inspiration, delegating the creative lead to the robot, communicating creative intents, and being playful in the creation. Our findings suggest designs for co-creation in social robots that consider the adversarial effect of giving the robot too much control in creation, as well as the role playfulness plays in the creative process. 

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