SNAP! (build your own blocks) (abstract only)

Harvey, Brian; Garcia, Daniel D.; Barnes, Tiffany; Titterton, Nathaniel; Armendariz, Daniel; Segars, Luke; Lemon, Eugene; Morris, Sean Michael; Paley, Josh

doi:10.1145/2445196.2445507

Cited by 27 publications

(8 citation statements)

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“…This rubric can assess students' "mobile computational thinking" skills, and it has the following 14 assessment categories: (1) Screen Interface, 2 Wangenheim et al [26] presented rubrics for "Snap!" [27] and App Inventor based on earlier work ( [18,25] respectively). They also presented a program called "CodeMaster" which automatically calculates the score of each project.…”

Section: Related Workmentioning

confidence: 99%

Comparing the Effectiveness of Scratch and App Inventor with Regard to Learning Computational Thinking Concepts

Park

Shin

2019

Electronics

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Scratch and App Inventor are two of the most widely used block-based programming languages for young students. These are educational languages which allow students to program easily by dragging and dropping their code blocks. One question that arises in relation to these educational languages is which of them would be more helpful in fostering computational thinking. It is difficult to answer this question because each language has its own advantages. In this paper, we propose a novel rubric based on Dr. Scratch for assessing both Scratch and App Inventor projects in terms of computational thinking concept learning. We crawled teachers’ and students’ open and popular projects and automatically calculated their effectiveness scores with regard to learning computational thinking concepts based on our rubric. The experimental results show that (1) Scratch projects scored higher on average in Parallelism, Synchronization and Flow Control, while App Inventor projects scored higher on average in User Interactivity and Data Representation. The results also show that (2) in many cases, large programs with numerous lines of code scored high in all areas of computational thinking concepts.

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Section: Related Workmentioning

confidence: 99%

Comparing the Effectiveness of Scratch and App Inventor with Regard to Learning Computational Thinking Concepts

Park

Shin

2019

Electronics

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“…Block-based languages (BBPLs) like Snap! are used in introductory computer science classes to help novices learn fundamental and advanced computer science topics while making interactive mediarich programs [16] [5,18]. Teachers report that BBPL projects allowed students to practice their problem solving skills and creativity while also allowing teachers to assess students' conceptual understanding of the topics covered in class [35].…”

Section: Related Workmentioning

confidence: 99%

Exploring and Influencing Teacher Grading for Block-based Programs through Rubrics and the GradeSnap Tool

Milliken

Cateté

Limke

et al. 2021

Proceedings of the 17th ACM Conference on International Computing Education Research

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This article examines the grading process and profiles of secondary computer science teachers as they assess block-based student programming submissions. Through an iterative design process, we have created a new tool, Gradesnap, which streamlines how teachers can open, review, and evaluate student submissions within the same interface. Our study compares teachers' grading processes using the different assessment formats, so that we can understand how their grading processes can be augmented or supported to reduce 'pain points' and to enable teachers to provide more constructive and formative feedback for students. We use a case study approach to examine the experiences and outcomes of four secondary computer science teachers with varied teaching and assessment experience, when grading as usual, grading with a rubric, and grading with GradeSnap. Our study shows that when participants use GradeSnap, they are able to give supportive comments to lower performing and borderline students who need critical feedback to better understand misconceptions. We also discovered that the different grading processes provided a vehicle for reflection for some teachers in understanding their grading goals and how they enact them. This research is the first to examine teacher grading processes for computer science, and highlights the need for teacher preparation and support for providing programming feedback and assessment. CCS CONCEPTS• Social and professional topics → K-12 education; Student assessment.

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“…Snap is the highly interactive software featured in Berkeley's "The Beauty and Joy of Computing" course, one of the original pilot courses for AP CS Principles [7]. Harvey, Garcia, and others involved with that effort have made extensive resources available, including the Snap source code itself [3]. Although we have extended this code base to create a fundamentally different teaching tool, many of the design decisions, pedagogical features, and educational benefits share a common ancestry with Snap through its underlying JavaScript libraries.…”

Section: Introductionmentioning

confidence: 99%

“…The latest version and a number of educational materials are available on our website. 3 This setup not only makes it easier for us to distribute updates and enhancements to the software, but it also makes it more practical to deploy in K-12 schools. If a connection to the Internet is not available, Bags may also be downloaded in advance for offline use.…”

Section: Introductionmentioning

confidence: 99%

Learning relational algebra by snapping blocks

Gorman

Gsell

Mayfield

2014

Proceedings of the 45th ACM Technical Symposium on Computer Science Education

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Relational algebra provides a theoretical foundation for how modern database management systems optimize and execute queries. Its main concepts are based on set theory and first order logic, which can be challenging for students to learn due to their abstract nature. This paper presents Bags, a new type of visual programming environment (inspired by Snap!) for the teaching of relational operations and data analysis. Students formulate algebraic queries by snapping together graphical blocks that represent data sets and relational operators, resulting in an interactive visualization of the underlying concepts. The outcomes of this work will not only enhance university-level database courses, but also provide an engaging computational thinking resource for K-12 teachers in content areas outside of science and engineering.

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SNAP! (build your own blocks) (abstract only)

Cited by 27 publications

References 0 publications

Comparing the Effectiveness of Scratch and App Inventor with Regard to Learning Computational Thinking Concepts

Comparing the Effectiveness of Scratch and App Inventor with Regard to Learning Computational Thinking Concepts

Exploring and Influencing Teacher Grading for Block-based Programs through Rubrics and the GradeSnap Tool

Learning relational algebra by snapping blocks

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