Early Validation of Computational Thinking Pattern Analysis

Publication

End-user game design affords teachers a unique opportunity to integrate computational thinking concepts into their classrooms. However, it is not always apparent in game and simulation projects what computational thinking-related skills students have acquired. Computational Thinking Pattern Analysis (CTPA) enables teachers to visualize which of nine specific skills students have mastered in game design that can then be used to create simulations. CTPA has the potential to automatically recognize and calculate student computational thinking skills, as well as to map students’ computational

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Real Time Assessment of Computational Thinking

Publication

This paper suggests a Cyberlearning tool based on a highly innovative assessment methodology that helps teachers with computer science education. Currently, there is a strong push to integrate aspects of programming and coding into the classroom environment. However, few if any tools exist that enable real-time formative assessment of in-class programming tasks. The proposed REACT (Real Time Evaluation and Assessment of Computational Thinking) system is a first step toward allowing teachers to see which high-level concepts students have mastered and which ones they are struggling with as

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The Consume-Create Spectrum: Balancing Convenience and Computational Thinking in STEM Learning

Publication

Future school science standards, such as the Next Generation Science Standards (NGSS), emphasize the integration of simulation and modeling activities in the classroom environment. The extremes of these activities have two vastly different implementations. On one hand, a teacher can have students experiment on a pre-made simulation associated with the material. On the other hand, students can use, for example, an end-user programming tool to create the simulation from scratch. This allows students to not only experiment on, but also, to model the real world phenomenon being studied, a key

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Computational Thinking Survey

Instruments

A computational thinking survey was designed to assess K-12 education students’ attitudes toward computer science and their understanding of computational thinking before and after implemenation of a computational thinking (CT) module. The surveys consisted of sixteen multiple-choice questions on a Likert scale from strongly agree to strongly disagree and four open-ended questions. The link below and attachement provide the instrument.

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Computational Thinking Pattern Analysis (CTPA)

Instruments

Computational Thinking Pattern Analysis (CTPA) enables teachers to visualize which of nine specific skills students have mastered in game design that can then be used to create simulations. CTPA has the potential to automatically recognize and calculate student computational thinking skills as well as to map students’ computational thinking skill progression, as they proceed through the curriculum. The link and attachment provide documentation about the instrument. Authors provide instrument validity or reliability information.

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K–12 Computational Learning

Publication

Enhancing student learning and understanding by combining theories of learning with the computer’s unique attributes. In “Computational Thinking,” Jeannette Wing struck a chord that has resonated strongly (generating positive as well as negative responses) with many computer scientists and non-computer scientists. In this article, Cooper et al. reframe the way computational thinking is conceptualized and present a new model for computational learning in K-12 education.

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Computational Thinking for Youth

Publication

The ITEST Small Working Group on Computational Thinking (CT) has completed its White Paper titled: Computational Thinking for Youth. The paper aims to describe what computational thinking looks like when practiced by youth in ITEST and other NSF funded programs and how educators can support growth in computational thinking. It shares examples of CT as observed in middle school projects. It also shares observations in the form of a model that describes three stages that youth appear to progress through as their computational thinking skills evolve.

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