Resources

Resources included in these libraries were submitted by ITEST projects or STELAR and are relevant to the work of the NSF ITEST Program. PDFs and/or URLs to the original resource are included in 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. Permission for use must be requested through the publisher or author listed in each entry.

Body

Resources included in these libraries were submitted by ITEST projects or STELAR and are relevant to the work of the NSF ITEST Program. PDFs and/or URLs to the original resource are included in 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. Permission for use must be requested through the publisher or author listed in each entry.

371 - 380 of 540

Learning Sciences

Publication

This document created by the Center for Research in Cyberlearning (CIRCL) synthesizes the field of learning sciences and how it intersects with cyberlearning.

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Making Educational Games That Work in The Classroom

Publication

The development of analytical skills is a central goal of the Next Generation Science Standards and foundational to subject mastery in STEM fields. Yet, significant barriers exist to students gaining such skills. Here we describe a new “gentleslope” cyberlearning strategy that gradually introduces students to the authoring of scientific simulations via a Web-based modding approach called CyberMOD. Modding involves adding agents with predefined functionality to a simulation world to produce a unique combination whose behavior can then be visualized by running the simulation. This permits low

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Conversational Programming: Exploring Interactive Program Analysis

Publication

Our powerful computers help very little in debugging the program we have so we can change it into the program we want. We introduce Conversational Programming as a way to harness our computing power to inspect program meaning through a combination of partial program execution and semantic program annotation. A programmer in our approach interactively selects highly autonomous “agents” in a program world as conversation topics and then changes the world to explore the potential behaviors of a selected agent in different scenarios. In this way, the programmer proactively knows how their code

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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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Development of the STEM College-Going Expectancy Scale for High School Students

Publication

The STEM College-Going Expectancy Scale (STEM CGES) was developed and validated in two studies conducted during 2010 and 2011. The STEM CGES is a self-report instrument measuring college-going expectancy, specifically for science, technology, engineering, and mathematics (STEM) domains. In Study 1, 95 students in an urban high school completed an 11-item online questionnaire to measure college-going expectancy in STEM domains. Exploratory factor analysis (EFA) retained 6 out of the 11 items for inclusion. In Study 2, Confirmatory Factor Analysis (CFA) used data collected from 658 students in

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