1,528 research outputs found

    Visual and Textual Programming Languages: A Systematic Review of the Literature

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    It is well documented, and has been the topic of much research, that Computer Science courses tend to have higher than average drop out rates at third level. This is a problem that needs to be addressed with urgency but also caution. The required number of Computer Science graduates is growing every year but the number of graduates is not meeting this demand and one way that this problem can be alleviated is to encourage students at an early age towards studying Computer Science courses. This paper presents a systematic literature review on the role of visual and textual programming languages when learning to program, particularly as a first programming language. The approach is systematic, in that a structured search of electronic resources has been conducted, and the results are presented and quantitatively analysed. This study will give insight into whether or not the current approaches to teaching young learners programming are viable, and examines what we can do to increase the interest and retention of these students as they progress through their education.Comment: 18 pages (including 2 bibliography pages), 3 figure

    Learning to Program in Python – by Teaching It!

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    The US Bureau of Labor Statistics predicts over 8 million job openings in IT and computing, including 1 million cybersecurity postings, over the current five-year period. This paper presents lessons learned in preparing middle-school students in rural Georgia for future careers in computer science/ IT by teaching computer programming in the free, open-source programming language Python using Turtle graphics, and discusses exercises and activities with low-cost drones, bots, and 3D printers to get students interested and keep them engaged in coding. Described herein is one pair of instructors’ (one middle-school, one university) multi-year, multi-stage approach to providing engineering and technology courses, including: how to code Turtle graphics in Python; how to engage children by using short, interactive, visual programs for every age level; building cross-curricular bridges toward technology careers using 3D printing, robotics, and low-cost drones; and, how to build more advanced programming skills in Python

    Computing in Education: A study of computing in education and ways to enhance students’ perceptions and understanding of computing

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    There is a huge demand for computing skills in industry due to computing becoming ubiquitous and essential for modern life. Yet despite this, industry struggles to find employees with suitable computing skills and similarly Further and Higher Education institutions have observed a lack of interest in their computing courses in recent years. This study looks at possible reasons for this lack of interest in computing, how computing is taught in education and ways to improve students’ perceptions and understanding of computing. It focuses around a case study of a university outreach event for secondary schools which investigated how interactive teaching methods can be used to enhance students’ perceptions and understanding of computing and to increase their computing knowledge. It includes the use of physical computing and was designed to make computing fun, motivational and relevant, and to provide examples of real-world applications. Surveys were used before and after the event to understand what students’ impressions and knowledge of computing is and to see if the event improved these. Observations were also used to see how well the students handled the event’s content and whether they appeared to enjoy and understand it. Results from the case study indicate that interactive teaching methods enhance computing education, and physical computing with electronics can enhance lessons and show the relevance of computing with examples of real-world applications, and can be fun and motivational. The case study provides teachers with example tasks and challenges they can use with their students and/or ideas around other interactive teaching methods including practical computing

    Computational Thinking in Education: Where does it fit? A systematic literary review

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    Computational Thinking (CT) has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert is credited as concretising Computational Thinking in 1980 but since Wing popularised the term in 2006 and brought it to the international community's attention, more and more research has been conducted on CT in education. The aim of this systematic literary review is to give educators and education researchers an overview of what work has been carried out in the domain, as well as potential gaps and opportunities that still exist. Overall it was found in this review that, although there is a lot of work currently being done around the world in many different educational contexts, the work relating to CT is still in its infancy. Along with the need to create an agreed-upon definition of CT lots of countries are still in the process of, or have not yet started, introducing CT into curriculums in all levels of education. It was also found that Computer Science/Computing, which could be the most obvious place to teach CT, has yet to become a mainstream subject in some countries, although this is improving. Of encouragement to educators is the wealth of tools and resources being developed to help teach CT as well as more and more work relating to curriculum development. For those teachers looking to incorporate CT into their schools or classes then there are bountiful options which include programming, hands-on exercises and more. The need for more detailed lesson plans and curriculum structure however, is something that could be of benefit to teachers

    The Effectiveness of Codesters in Teaching Basic Computer Science Topics

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    Founded in 2014, Codesters is a visual programming environment (VPE) like the popular Scratch and Alice. Its goal is to teach middle school and older student’s computer programming. Unlike its predecessors, users of Codesters drag and drop actual Python code instead of blocks and can edit the code themselves. Codesters has also developed modules that integrate coding lessons into the VPE. In this study, we consider the Codesters Python 1 module and investigate its effectiveness in teaching the basic coding concepts of variables, loops and conditionals. During Fall 2018 and Spring 2019, we ran a coding class for eighth graders at a local Milwaukee school based on this module. We gave a pre-test, three quizzes and a post-test to evaluate what the students have learned. We then analyzed the results of these evaluations and compared them to those taken by students who learned programming in a traditional CS1 class. Our results indicate that users of Codesters understood loops and conditionals as well as the students from the traditional CS1 class. We also found that the pre-test was a poor indicator of students’ performance in the coding class suggesting that Codesters is able to engage students who might not necessarily excel in a traditional classroom

    Forty hours of declarative programming: Teaching Prolog at the Junior College Utrecht

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    This paper documents our experience using declarative languages to give secondary school students a first taste of Computer Science. The course aims to teach students a bit about programming in Prolog, but also exposes them to important Computer Science concepts, such as unification or searching strategies. Using Haskell's Snap Framework in combination with our own NanoProlog library, we have developed a web application to teach this course.Comment: In Proceedings TFPIE 2012, arXiv:1301.465

    Computing: it’s not just what we teach but how we teach it

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    Computer Science To Go (CS2Go): Developing a course to introduce and teach Computer Science and Computational Thinking to secondary school students

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    Computer Science To Go (CS2Go) is a course designed to teach Transition Year Students about Computer Science and Computational Thinking. This project has been conducted over two years and this thesis charts the development of the course from the initial research stage, through the lesson creation sections to the testing and evaluation of the course material. Over 80 hours of engaging, informative and challenging material has been developed for use in the classroom. Alongside the lesson plans, assessment and monitoring tools have been created, including a novel tool to assess students Computational Thinking skills. The content was tested in two major studies after an initial pilot study. This initial pilot study proved useful in constructing the full CS2Go course. Overall the course has been well received with teachers and students engaging well with the content. A web portal has also been created to allow for easy dissemination of all the CS2Go material. The further development of this web portal will turn CS2Go into a one-stop shop for teachers and educators hoping to find CS teaching material
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