569 research outputs found

    Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics

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    © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information

    Teaching Software Engineering through Robotics

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    This paper presents a newly-developed robotics programming course and reports the initial results of software engineering education in robotics context. Robotics programming, as a multidisciplinary course, puts equal emphasis on software engineering and robotics. It teaches students proper software engineering -- in particular, modularity and documentation -- by having them implement four core robotics algorithms for an educational robot. To evaluate the effect of software engineering education in robotics context, we analyze pre- and post-class survey data and the four assignments our students completed for the course. The analysis suggests that the students acquired an understanding of software engineering techniques and principles

    Games, Robots, and Robot Games: Complementary Contexts for Introductory Computing Education

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    Using games to teach introductory computing courses provides another context with which to exploring the possible attraction, retention, and education of a new generation of computer science (CS) students. At Bryn Mawr College, we have been actively exploring these contexts and have identified four that have great promise for use in teaching introductory computing courses: visualization, multimedia, robotics, and, most recently, games. We are currently using and analysing robots and have some preliminary results. We believe that much of what we have learned in using robots in the classroom can be applied to the other contexts, especially gaming. In addition, many aspects of gaming can also be used in an introductory course using robots. This paper will explore robotics, gaming, their interactions, and provide suggestions on how best to proceed in making the most out of games in the classroom

    Creative Coding and Visual Portfolios for CS1

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    In this paper, we present the design and development of a new approach to teaching the college-level introductory computing course (CS1) using the context of art and creative coding. Over the course of a semester, students create a portfolio of aesthetic visual designs that employ basic computing structures typically taught in traditional CS1 courses using the Processing programming language. The goal of this approach is to bring the excitement, creativity, and innovation fostered by the context of creative coding. We also present results from a comparative study involving two offerings of the new course at two different institutions. Additionally, we compare our results with another successful approach that uses personal robots to teach CS1

    Creative Coding and Visual Portfolios for CS1

    Get PDF
    In this paper, we present the design and development of a new approach to teaching the college-level introductory computing course (CS1) using the context of art and creative coding. Over the course of a semester, students create a portfolio of aesthetic visual designs that employ basic computing structures typically taught in traditional CS1 courses using the Processing programming language. The goal of this approach is to bring the excitement, creativity, and innovation fostered by the context of creative coding. We also present results from a comparative study involving two offerings of the new course at two different institutions. Additionally, we compare our results with another successful approach that uses personal robots to teach CS1

    Showing Up is Half the Battle: Assessing Different Contextualized Learning Tools to Increase the Performance in Introductory Computer Science Courses

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    Contextualized learning is considered beneficial for student success. In this article, we assess the impact of context-based learning tools on student grade performance in an introductory computer science course. In particular, we investigate two central questions: (1) does the use context-based learning tools, robots and animations, affect student performance? (2) How do age, gender, and ethnicity impact performance? To explore these questions, we compare the impact of educational robots in conjunction with animations against a second group of students who use only animations, while controlling for the effects of gender and ethnicity. We find that the addition of robots did not improve the students’ performance in our setting. Instead, our findings support the existing literature stating that gender and ethnicity are important predictors of student success. We also find that attendance is a strong predictor of student success

    Learning Dimensions: Lessons from Field Studies

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    In this paper, we describe work to investigate the creation of engaging programming learning experiences. Background research informed the design of four fieldwork studies involving a range of age groups to explore how programming tasks could best be framed to motivate learners. Our empirical findings from these four studies, described here, contributed to the design of a set of programming "Learning Dimensions" (LDs). The LDs provide educators with insights to support key design decisions for the creation of engaging programming learning experiences. This paper describes the background to the identification of these LDs and how they could address the design and delivery of highly engaging programming learning tasks. A web application has been authored to support educators in the application of the LDs to their lesson design
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