应用程序设计变得简单:Locandy.Com内容管理系统是一个合适的编程系统,用于基于位置的游戏化应用程序来设计动物学中的公民科学项目

T. Schwerte
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引用次数: 0

摘要

用户参与公民科学项目的主要动力是学习新事物的动机,并成为建立新知识的创造过程的一部分。基于位置的游戏化是一种现代策略,它将游戏设计元素和游戏原则应用于非游戏环境中。它利用了人类参与游戏和竞争的自然倾向。这给我们带来了一个想法,即可以使用一个易于使用的内容管理系统(CMS)来设计科学家指导的公民科学项目的结构化数据采集。我们评估了现有产品中基于GPS(全球定位系统)位置的冒险路径设计,并评估了通过生成吸引人的智能手机应用程序来教授生命科学、体育、健康知识的可用性。我们测试了不同的基于web的应用程序设计工具,用于结构化数据获取和用户教育,并决定使用Locandy.com,因为它比其他应用程序的主要优势:使用变量的可能性和编码更复杂算法以支持科学项目的能力。研究表明,即使是复杂的教学问题也可以使用这种CMS成功呈现,并且在户外环境中基于位置的游戏化被证明是一种有效的教学策略。此外,研究表明,整合自然具有教授复杂的跨学科知识联系的能力,甚至有助于为非编码科学家设计数据采集应用程序。
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App Design Made Easy: Locandy.Com Content Management System Is An Appropriate Programming System For Location-Based Gamification Apps To Design Citizen Science Projects In Zoology
The main drive for users to participate in citizen science projects is the motivation to learn something new and to be part of the creation process to establish new knowledge. Location-based gamification is a modern strategy, which applies game-design elements and game principles in non-game contexts. It utilizes a human’s natural tendency to participate in games and competitions. This brought us to the idea that scientist guided structured data acquisition for citizen science projects can be designed using an easy-to-use content management system (CMS). We evaluated existing products for the design of GPS (global positioning system) location-based adventure-like paths and evaluated the usability to teach life science, sports, health knowledge by generating appealing smartphone apps. We tested different web-based application design tools for structured data acquisition and user education and decided on Locandy.com, because of its main strengths over others: the possibility to use variables and the ability to encode more complex algorithms to support scientific projects. It was shown that even complex teaching matters were successfully presented using this CMS and location-based gamification in an outdoor environment proved to be an efficient teaching strategy. Furthermore, it was shown that the integration of nature has the capability to teach complex interdisciplinary knowledge connections and helps to design data acquisition apps even for non-coding scientists.
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