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1. CSAwesome: AP CSA curriculum and professional development (practical report)

   https://doi.org/10.1145/3421590.3421593  

   Ericson, Barbara; Hoffman, Beryl; Rosato, Jennifer (October 2020, Proceedings of the 15th Workshop on Primary and Secondary Computing Education)

   null (Ed.)

   CSAwesome is a new approved curriculum and professional development (PD) provider for the Advanced Placement (AP) Computer Science (CS) A high school course. AP courses are taken by secondary (typically ages 14-19) students for college placement and/or credit. CSAwesome's free curriculum and teacher resources were developed in 2019 by adapting the CSA Java Review ebook on the open-source Runestone platform. The goals of CSAwesome are to broaden participation in the AP CSA course and to support new-to-CS students and teachers as they transition from the AP Computer Science Principles (CSP) course to the AP CSA course by using inclusive teaching practices and curriculum design. The AP CSP course is equivalent to a first course for non-majors at the college level, while the AP CSA course is equivalent to a first course for majors. Currently, AP CSA attracts a much less diverse student body than AP CSP. This new curriculum supports student engagement and scaffolded learning through an interactive ebook with embedded executable and modifiable code (Active Code), a variety of practice types with immediate feedback, and adaptable mixed-up code (Parsons) problems. Collaborative learning is encouraged through pair programming and groupwork. Our pilot Professional Development (PD) incorporates inclusive teaching strategies and active recruitment with the goal of broadening participation in CSA. This paper presents the design of the CSAwesome curriculum and teacher professional development and initial results from the curriculum use and pilot PD during the first year of CSAwesome. 

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2. CSAwesome Java Curriculum

   https://doi.org/10.1145/3478432.3499235  

   Ericson, Barbara; Hoffman, Beryl (March 2022, Proceedings of the 53rd 2022 ACM Technical Symposium on Computer Science Education)

   CSAwesome is a Java AP CSA and CS1 curriculum with 20,000 users on the Runestone ebook platform. The curriculum is online, free and interactive with embedded Java Active Code examples and problems, mixed-up code (Parsons problems), multiple-choice problems, and scaffolded coding challenges. There are many features of the Runestone platform that scaffold and differentiate learning for students. The curriculum is designed to broaden participation in CS and transition students from AP CSP (or CS0) to AP CSA (or CS1) with a variety of techniques such as scaffolded interactivity and creative and collaborative learning. Initial results from the 2020-2021 school year show average gains of 29% on the pre/post test built into the curriculum (n=958, P<.001). Pre and post surveys built into the ebook show slight gains in confidence in Java programming and pursuing further study or a career in computing (P<.001). Female students (22% of those who answered) performed similarly to all students. Students who took AP CSP (39%) prior to AP CSA performed slightly higher in the pre-test but had similar results otherwise. 47% of students rated themselves as beginner programmers and 30% intermediate at the beginning of the course; at the end of the course, 12% rated themselves as beginners and 43% as intermediate programmers. 

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3. Beyond CS Principles: Bringing the Frontiers of Computing to K12

   https://doi.org/10.1145/3408877.3439542  

   Lédeczi, Ákos; Grover, Shuchi; Catete, Veronica; Broll, Brian (March 2021, SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science)

   null (Ed.)

   The AP Computer Science Principles (CSP) high school course introduces students to computer science and programming. What should motivated students study after successful completion of AP CSP? The AP CSA class teaches Java programming and it has traditionally not attracted students from underrepresented groups. We are working on an alternative, projects-based course that will teach cutting edge CS concepts, such as distributed computing, computer networking, cybersecurity, the internet of things and machine learning, in a hands-on, accessible manner. Such an approach enables students to work on problems that interest them making computing more relevant and the curriculum more engaging. We utilize NetsBlox, a collaborative, block-based programming environment that extends Snap! with a few carefully selected abstractions that open up the vast array of resources freely available on the internet for student programs. Moreover, the tool enables students to work together on the same project remotely similarly to how Google Docs operate. This demonstration will introduce the environment and highlight its utility in creating distributed applications such as a shared whiteboard app and projects that access public domain scientific data sources and visualize them in various ways using online services such as Google Maps or charting. More information is available at https://netsblox.org. 

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4. Developing Online Professional Development for High School Teachers to Teach Computer Science Online

   https://doi.org/10.1145/3502717.3532174  

   Martin, Florence; Shanley, Nicole E.; Hite, Nicole; Pérez-Quiñones, Manuel A.; Pugalee, David; Hart, Ellen (July 2022, Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education Vol. 2 (ITiCSE '22))

   Creating effective professional development is critical to support high school teachers who teach computer science (CS) online. The context of this study is based on a current Research to Practice Partnership (RPP) between the University of North Carolina at Charlotte in the United States and North Carolina Virtual Public School (NCVPS). Ten high school teachers from the NCVPS who teach CS online participated in a summer workshop and recommended design, facilitation, and evaluation strategies to be included in effective professional development (PD). The summer workshop was conducted synchronously via Zoom. It provided the opportunity to discuss teacher perceptions related to the research questions "What design, facilitation, and assessment strategies are helpful to include in an AP Computer Science Advanced course?" and "What recommendations do you have for designing an online professional development course for high school teachers to teach computer science online?" The questions were posed through an online collaborative Jamboard, and the affinity diagram method was used for data collection and document analysis was conducted. The teacher posts were qualitatively analyzed to identify common themes. Findings for professional development on content design included CS content, how to teach CS, and CS tools and activities. For assessment, they recommended content knowledge assessments, including lab assignments, single and pair programming, and coding assessments. They recommended tools for supplemental instruction, integration of discussion boards for interaction, and tools and strategies to provide feedback for professional development. 

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5. Using Subgoal Labeling in Teaching CS1 (now in Python!)

   Decker, Adrienne; Morrison, Briana; Bart, Austin Cory (January 2023, Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023))

   Subgoal labeling is an instructional design framework for breaking down problems into pieces that are small enough for novices to grasp, and often difficult for instructors (i.e., experts) to articulate. Subgoal labels have been shown to improve student performance during problem solving in many disciplines, including computing. Improved student performance occurs because subgoal labels improve student transfer and retention of knowledge. With support from NSF (DUE-1712025, 1712231, 1927906, 2110156, 2111578), subgoal labels have been previously identified and integrated into a CS1 course (variables, expressions, conditionals, loops, arrays, classes) and an e-book has been created on the Runestone platform to enable students to complete practice problems using the subgoals. The initial implementation focused on Java, but within the past year, the development of subgoals for CS1 courses in Python have been created. Subsequently, course materials have been created as well. This workshop will introduce participants to the new materials (in Python) and demonstrate how the subgoal labels and worked examples are integrated throughout the course. Materials include worked examples and practice problems that increase in complexity and difficulty within each topic. The materials are designed to be integrated into CS1 courses as homework or classroom examples and activities. Assessment of topics using subgoal labels will also be discussed. Participants will also engage in an activity where they create an example for their own course using subgoal labels. 

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