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1. Accessible Computational Thinking in Elementary Science.

   Bernier, J.; Cabrera, L.; Figueroa, F.; Ha, J.; Kramarczuk, K.; Mak, J.; Su, M.; Xin, Y.; Yan, L.; Ketelhut, D. J.; et al (January 2022, Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022.)

   Chinn, C.; Tan, E.; & Kali, Y. (Ed.)

   Computational thinking (CT) is ubiquitous in modern science, yet rarely integrated at the elementary school level. Moreover, access to computer science education at the PK-12 level is inequitably distributed. We believe that access to CT must be available earlier and implemented with the support of an equitable pedagogical framework. Our poster will describe our Accessible Computational Thinking (ACT) research project exploring professional development with elementary teachers on integrating computational thinking with Culturally Responsive Teaching practices. 

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2. Predicting Computational Thinking in Elementary Science Lessons Using a Multilevel Model Approach

   https://doi.org/10.1155/2023/3136885  

   Pietros, Jennifer; Shim, Minsuk; Sweetman, Sara (December 2023, Education Research International)

   Yin, Shi (Ed.)

   Computational thinking (CT) is an essential problem-solving skill that students need to successfully live and work with developing technologies. There is an increasing call in the literature by researchers and policy leaders to integrate CT at the elementary level into core subjects to provide early and equitable access for all students. While some critics may claim the concepts and skills of CT are developmentally advanced for elementary age students, subjects such as science can provide real-world and relevant problems to which foundational CT components can be applied. By assessing how CT concepts and approaches integrate authentically into current science lessons, policymakers, and district leaders can be more intentional in supporting implementation efforts. This research used an exploratory survey design to examine the frequencies of CT concepts (decomposition, algorithms, abstraction, and pattern recognition) and approaches (tinkering, creating, debugging, perseverance, and collaboration) that exist in science in K–5 schools in a northeast state in the United States as reported by elementary science teachers (n = 259). Hierarchical linear modeling was used to analyze the influence of teacher and district factors on the amount of time CT concepts and approaches were integrated in the science lessons. Experience, grade level, confidence, and participation in a research–practice partnership were found to be significant predictors of CT. This study contributes to a better understanding of variables affecting CT teaching frequency that can be leveraged to impact reform efforts supporting CT integration in science. 

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3. Orchestrating the Multidisciplinary Implementation of a Narrative-Centered Learning Environment in Upper Elementary Classrooms.

   Vandenberg, J.; Boulden, D.; Fox, K.; Elsayed, R.; Smith, A.; Cheuoua, A.H.; Minogue, J.; Oliver, K.; Ringstaff, C.; Mott, B. (January 2022, Proceedings of the International Conference of the Learning Sciences)

   Integration of computational thinking (CT) within STEM subjects is common, although not often at the elementary school level where teachers have minimal experience with CT. We have designed and are refining INFUSECS, a narrative-centered digital learning environment to support upper elementary students’ CT and science knowledge construction as they create digital stories. We used orchestration as our theoretical framework, to examine how elementary teachers planned to approach this multidisciplinary implementation. Through a series of three focus groups, we learned that teachers planned for their students to take notes or utilize other graphic organizers to align the science content with the narrative planning, to engage in collaborative sense-making, and to observe the teacher modeling use of the INFUSECS system. Ultimately, the results have informed the next phase of our research design as we collect teacher and student level data as INFUSECS is utilized in authentic classroom settings. 

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4. Analysis of Computational Thinking in Children’s Literature for K-6 Students: Literature as a Non-Programming Unplugged Resource

   https://doi.org/10.1177/07356331211004048  

   Ballard, Evan David; Haroldson, Rachelle (January 2022, Journal of Educational Computing Research)

   As schools and districts across the United States adopt computer science standards and curriculum for K-12 computer science education, they look to integrate the foundational concepts of computational thinking (CT) into existing core subjects of elementary-age students. Research has shown the effectiveness of teaching CT elements (abstraction, generalization, decomposition, algorithmic thinking, debugging) using non-programming, unplugged approaches. These approaches address common barriers teachers face with lack of knowledge, familiarity, or technology tools. Picture books and graphic novels present an unexplored non-programming, unplugged resource for teachers to integrate computational thinking into their CT or CT-integrated lessons. This analysis examines 27 picture books and graphic novels published between 2015 and 2020 targeted to K-6 students for representation of computational thinking elements. Using the computational thinking curriculum framework for K-6, we identify the grade-level competencies of the CT elements featured in the books compared to the books’ target age groups. We compare grade-level competencies to interest level to identify each CT element representation as “foundational,” “on-target,” or “advanced.” We conclude that literature offers teachers a non-programming unplugged resource to expose students to CT and enhance CT and CT-integrated lessons, while also personalizing learning based on CT readiness and interest level. 

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5. Computational thinking in elementary classrooms: Using classroom dialogue to measure equitable participation

   Larimore, R. (May 2021, Proceedings of the Research in Equity and Sustained Participation in Engineering (RESPECT))

   null (Ed.)

   The increased push for access to computer science (CS) at the K-12 level has been argued as a way to broaden participation in computing. At the elementary level, computational thinking (CT) has been used as a framework for bringing CS ideas into the classroom and educating teachers about how they can integrate CT into their daily instruction. A number of these projects have made equity a central goal of their work by working in schools with diverse racial, linguistic, and economic diversity. However, we know little about whether and how teachers equitably engage students in CT during their classroom instruction– particularly during science and math lessons. In this paper, we present an approach to analyzing classroom instructional videos using the EQUIP tool (https://www.equip.ninja/). The purpose of this tool is to examine the quantity and quality of students’ contributions during CT-integrated math and science lessons and how it differs based on demographic markers. We highlight this approach using classroom video observation from four teachers and discuss future work in this area. 

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