ITEST Resources

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Welcome to the ITEST Resource Library

The curricula, instruments, and publications included in this library were submitted by ITEST projects and are relevant to the work of the NSF ITEST Program. Use the filters to the right to find relevant materials. A PDF and/or URL to the original resource are included within the resource description whenever possible. In some cases, full text publications are located behind publishers’ paywalls and a fee or membership to the third party site may be required for access. 

Please note: permission for the use of instruments must be requested through the publisher or author listed in each entry, and cannot be granted by STELAR.

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391 - 400 of 876

Modeling and Simulation: How Everything seems to Form and Grow

Publications

The ideas in this article resulted from many years of research in engineering, physics, computer, and cognitive sciences, as well as teaching experience in college and secondary schools. While its main purpose is to discuss the universality of modeling and simulation process and its pedagogical use in teaching, there are several conclusions to be drawn.

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Epistemological, Psychological, Neurosciences, and Cognitive Essence of Computational Thinking

Publications

The construct of computational thinking (CT) was popularized a decade ago as an “attitude and skillset” for everyone. However, since it is equated with thinking by computer scientists, the teaching of these skills poses many challenges at K-12 because of their reliance on the use of electronic computers and programming concepts that are often found too abstract and difficult by young students. This article links CT – i.e., thinking generated and facilitated by a computational device – to our typical fundamental cognitive processes by using a model of mind that is aligned with research in

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The Essence of Computational Thinking

Publications

A decade of discourse to capture the essence of computational thinking has resulted in a broad set of skills whose teaching continue to pose challenges because of the reliance on the use of electronic computers and programming concepts. This article not only links computational thinking skills to fundamental cognitive competencies but also describes pedagogical tools that have proven effective in teaching them at early ages.

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Engagement Survey

Instruments

The Engagement survey was written for use with 10-14 year-old respondents immediately after a science activity, whether in a class or in an informal learning context. Such contextualized and immediate use minimizes memory biases or inferences based on beliefs the learner has about themselves or the learning context. Accordingly, it should be used after a focused science activity rather than as a measure of general engagement over a series of activities. No particular assumptions are made about task structure (e.g., brief or extended, alone or collaborative, adult guided or student guided)

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STEM Learning Activation survey

Instruments

Designed to be used with 10-14 year olds, these survey scales are used to assess an individual across multiple dimensions of STEM learning activation (Fascination, Values, Competency Belief, Innovation Stance). Please note that these can be used in conjunction with the scientific sensemaking scale included in Science Learning Activation survey. These scales can be used concurrently to measure the multi-dimensional construct of STEM learning activation or separately to measure individual dimensions. 1. Fascination - Fascination involves positive affect towards doing STEM activities, curiosity

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Career Maturity Inventory Form C

Instruments

It is a 24-item scale that measures change along four scales of student career awareness and planning, along with open-response items about specific schooling intentions and career aspirations. Four scales are Concern, Curiosity, Confidence, and Consultation.

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Measuring Cognitive and Psychological Engagement: Validation of the Student Engagement Instrument

Instruments

A review of relevant literatures led to the construction of a self-report instrument designed to measure two subtypes of student engagement with school: cognitive and psychological engagement. The psychometric properties of this measure, the Student Engagement Instrument (SEI), were assessed based on responses of an ethnically and economically diverse urban sample of 1931 ninth grade students. Factor structures were obtained using exploratory factor analyses (EFAs) on half of the dataset, with model fit examined using confirmatory factor analyses (CFAs) on the other half of the dataset. The

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Style Engineers

Curricular Materials

Style Engineers is a program designed for young girls who love fashion as much as we do! We think the real magic of fashion is how science, technology, engineering, and mathematicsare part of the process of fashion design. On this site, you will find a series of activities designed to explore the science and technology of fashion.

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