表征基于web的教程:探索质量、社区和展示策略

Matthew Lount, Andrea Bunt
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引用次数: 12

摘要

在Web上找到的最终用户编写的教程正日益成为帮助用户学习软件应用程序的标准,但人们对这些教程的质量知之甚少。使用从以前的工作中获得的质量指标,我们对Photoshop教程样本进行了可用性专家审查,Photoshop教程是一个流行的图像处理程序,具有最大的基于网络的教程之一。我们还探讨了这些教程的特征在四个教程来源之间的差异,代表了那些,i)由紧密结合的在线社区编写;Ii)由专家用户撰写;Iii)最有可能被发现的;iv)教程的一般人群的代表性。我们的分析表明,专家用户通常编写更高质量的教程,并且我们样本中的许多教程都存在一些重要的局限性,例如缺乏帮助用户避免常见错误的尝试。我们还发现,单一的五星评级系统并不能充分区分教程的质量。在这一发现的基础上,我们提出并评估了一种基于多种标准的评级方法,并为这种方法找到了强有力的初步支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing Web-Based Tutorials: Exploring Quality, Community, and Showcasing Strategies
End-user authored tutorials found on the Web are increasingly becoming the norm for assisting users with learning software applications, but little is known about the quality of these tutorials. Using quality metrics derived from previous work, we perform a usability expert review on a sample of Photoshop tutorials, a popular image-manipulation program with one of the largest showings of web-based tutorials. We also explore how the characteristics of these tutorials differ across four tutorial sources, representing those that are, i) written by a close-knit online community; ii) written by expert users; iii) most likely to be found; and iv) representative of the general population of tutorials. Our analysis reveals that expert users generally write higher quality tutorials, and that many of the tutorials in our sample suffer from some important limitations, such as lacking attempts to help users avoid common errors. We also find that a single five-star rating system did not sufficiently distinguish quality between the tutorials. Building on this later finding, we propose and evaluate a rating approach based on multiple criteria, finding strong initial support for such an approach.
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