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1. Using Magic in Computing Education and Outreach

   Greenberg, Ron; Reed, Dale. (October 2018, Frontiers in Education (FIE))

   This special session explores the use of magic tricks based on computer science ideas; magic tricks help grab students’ attention and can motivate them to invest more deeply in underlying CS concepts. Error detection ideas long used by computer scientists provide a particularly rich basis for working such “magic”, with a CS Unplugged parity check activity being a notable example. Prior work has shown that one can perform much more sophisticated tricks than the relatively well-known CS Unplugged activity, and these tricks can motivate analyses across a wide variety of computer science concepts and are relevant to learning objectives across grade levels from 2nd grade through graduate school. These tricks have piqued the interest of past audiences and have been performed with the aid of online implementations; this conference session will demonstrate enhanced implementations used to illuminate the underlying concepts rather than just to perform the tricks. The audience will participate in puzzling out how to apply relevant concepts as we work through a scaffolded series of tricks centering on error detection and correction. The implementations also provide a useful model for incorporating greater interaction than is typically found in current innovative online interactive textbooks. In addition, they are samples for possible programming assignments that can motivate students using CS Unplugged activities to actively pursue deep programming experiences. 

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2. Multilingual CS Education Pathways: Implications for Vertically-Scaled Assessment

   https://doi.org/10.1145/3478431.3499315  

   Kao, Yvonne; Weintrop, David (February 2022, SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education)

   The expansion of computer science (CS) into K-12 contexts has resulted in a diverse ecosystem of curricula designed for various grade levels, teaching a variety of concepts, and using a wide array of different programming languages and environments. Many students will learn more than one programming language over the course of their studies. There is a growing need for computer science assessment that can measure student learning over time, but the multilingual learning pathways create two challenges for assessment in computer science. First, there are not validated assessments for all of the programming languages used in CS classrooms. Second, it is difficult to measure growth in student understanding over time when students move between programming languages as they progress in their CS education. In this position paper, we argue that the field of computing education research needs to develop methods and tools to better measure students' learning over time and across the different programming languages they learn along the way. In presenting this position, we share data that shows students approach assessment problems differently depending on the programming language, even when the problems are conceptually isomorphic, and discuss some approaches for developing multilingual assessments of student learning over time. 

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3. Using Formative Assessments to Examine Student Understanding of Middle School Algorithms and Programming Concepts.

   Basu, Satabdi; Yang, Hui; Rachmatullah, Arif; Tate, Carol; Rutstein, Daisy (March 2025, Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA)

   The Computer Science Teachers Association (CSTA) K-12 Computer Science Standards identify ‘Algorithms and Programming’ as a key CS concept across all grade bands that encompasses sub-concepts such as algorithms, decomposition, variables, and control structures. Previous studies have shown that algorithms and programming concepts often pose challenges for novice programmers, and that instruction in these areas is often superficial. We developed formative assessment tasks to investigate middle school students’ understanding of four CS standards related to algorithms and programming and collected responses from over 100 students associated with five different teachers. We found that students demonstrated a limited understanding of the standards. These findings contribute to the growing literature on middle school students’ understanding of algorithms and programming, and provide insights that can inform CS teacher development, instruction, and curriculum design. 

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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. Unplugged Activities to Introduce Parallel Computing in Introductory Programming Classes: an Experience Report

   https://doi.org/10.1145/3304221.3325573  

   Ghafoor, Sheikh K.; Brown, David W.; Rogers, Mike; Hines, Thomas (July 2019, ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education)

   Learning programming in early introductory classes is challenging for first year university students, and introducing parallel programming (PDC) in early classes along with traditional sequential programming is even more challenging. Unplugged activities may help alleviate some of the difficulties for students. Unplugged activities have been shown to increase student interest, and to enhance student understanding of CS programming concepts. We have used unplugged activities to teach PDC concepts before introducing parallel programming. Our experiences show that using unplugged activities to introduce the PDC concepts reduce the barrier to learn parallel programming. 

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