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            Developers rarely build programming environments that help secondary teachers support student learning. We interviewed 11 K12 teachers to discover how they support students learning to program and how tools might assist their teaching practice. Based on thematic analysis and organizing teacher activities around student actions, we have derived a new framework that can be used to design a programming learning system to support teachers. Our results suggest that teachers structure their activities based on their ideals about effective programming teaching and learning, and student problem solving and help-seeking processes. Therefore, our framework relates the themes we discovered about teacher activities to ideals and student problem solving in a time-based framework that can inform the design for new programming learning systems.more » « lessFree, publicly-accessible full text available April 25, 2026
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            Free, publicly-accessible full text available February 18, 2026
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            Free, publicly-accessible full text available February 18, 2026
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            Free, publicly-accessible full text available December 5, 2025
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            With the growing prevalence of AI, the need for K-12 AI education is becoming more crucial, which is prompting active research in developing engaging and age-appropriate AI learning activities. Efforts are underway, such as those by the AI4K12 initiative, to establish guidelines for organizing K- 12 AI education; however, effective instructional resources are needed by educators. In this paper, we describe our work to design, develop, and implement an unplugged activity centered on facial recognition technology for middle school students. Facial recognition is integrated into a wide range of applications throughout daily life, which makes it a familiar and engaging tool for students and an effective medium for conveying AI concepts. Our unplugged activity, “Guess Whose Face,” is designed as a board game that focuses on Representation and Reasoning from AI4K12’s 5 Big Ideas in AI. The game is crafted to enable students to develop AI competencies naturally through physical interaction. In the game, one student uses tracing paper to extract facial features from a familiar face shown on a card, such as a cartoon character or celebrity, and then other students try to guess the identity of the hidden face. We discuss details of the game, its iterative refinement, and initial findings from piloting the activity during a summer camp for rural middle school students.more » « less
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            In computing classrooms, building an open-ended programming project engages students in the process of designing and implementing an idea of their own choice. An explicit planning process has been shown to help students build more complex and ambitious open-ended projects. However, novices encounter difficulties in exploring and creatively expressing ideas during planning. We present Idea Builder, a storyboarding-based planning system to help novices visually express their ideas. Idea Builder includes three features: 1) storyboards to help students express a variety of ideas that map easily to programming code, 2) animated example mechanics with example actors to help students explore the space of possible ideas supported by the programming environments, and 3) synthesized starter code to help students easily transition from planning to programming. Through two studies with high school coding workshops, we found that students self-reported as feeling creative and feeling easy to communicate ideas; having access to animated example mechanics of an actor help students to build those actors in their plans and projects; and that most students perceived the synthesized starter code from Idea Builder as helpful and time-saving.more » « less
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