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A text editor is a type of computer program that edits plain text. Such programs are sometimes known as "notepad" software (e.g. Windows Notepad). Text editors are provided with operating systems and software development packages, and can be used to change files such as s, documentation files and programming language source code. Plain text and rich text Plain text and Rich text There are important differences between plain text (created and edited by text editors) and rich text (such as that created by word processors or desktop publishing software). Plain text exclusively consists of character representation. Each character is represented by a fixed-length sequence of one, two, or four bytes, or as a variable-length sequence of one to four bytes, in accordance to specific character encoding conventions, such as ASCII, ISO/IEC 2022, Shift JIS, UTF-8, or UTF-16. These conventions define many printable characters, but also non-printing characters that control the flo

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Quantifying Collaboration in Synchronous Document Editing

Louis Antoine Baligand, Stian Haklev, Jennifer Kaitlyn Olsen, Adrian Pierre Sergio Pace

Collaborative synchronous writing tools like Google Docs and Etherpad let multiple users edit the same document and see each others edits in near real-time to simplify collaboration and avoid merge-conflicts. These tools are used extensively across many domains, including education, in both research and industry. The very nature of needing to constantly synchronize state between multiple users means that very granular editing data is automatically captured and stored. In theory, this data could provide important insights into the editing process, the contributions of the different users, how the text developed over time, and other questions relevant to researchers studying writing from different theoretical and methodological angles. However, this extreme granularity of the data (down to individual key presses), makes analysis very complex. Most of the research focused on automatic analysis of collaborative writing to date has focused on asynchronous writing, and looked at the "diffs" between one editing session and the next. In this paper, we present a method and a tool to construct informative operations from text data, as well as preliminary metrics for measuring the collaborative writing process. Additionally, our method adds to previous work in that it can be used to assess the writing during the writing process rather than just being applied to an end product.

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Thymio II, a robot that grows wiser with children

Morgane Solène Denise Chevalier, Stéphane Magnenat, Francesco Mondada, Fanny Riedo

Thymio II is a small robot developed for education. It aims at offering a wide public the possibility to understand the basics of robotics and programming. To achieve this, it aims at being appealing to a large age range and serve as a medium for several types of activities. In this study, we tested it in five different workshops of the EPFL Robotics Festival with various activities. The workshops target different age groups and the participants can control the robot via different means: built- in buttons, graphical programming and text programming. At the end of the activities, participants were asked to fill a short survey to give their impressions about the robot, their appreciation of the tasks and their motivations to take part. We could show through this feedback that ThymioII appeals to young children as much as to teenagers, to both girls and boys, and allows them to have fun and learn new things.

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Righting Software

James Richard Larus

What tools do we use to develop and debug software? Most of us rely on a full-screen editor to write code, a compiler to translate it, a source-level debugger to correct it, and a source-code control system to archive and share it. These tools originated in the 1970s, when the change from batch to interactive programming stimulated the development of innovative languages, tools, environments, and other utilities we take for granted. Microsoft Research has developed two generations of tools, some of which Microsoft developers already use to find and correct bugs. These correctness tools can improve software development by systematically detecting programming errors.

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