Genesis: Seating Chart Tools

生产工具插件大小: 95.57KiB版本: v 1.02更新时间: 2021-12-21
大小:95.57KiB版本:v 1.02更新时间:2021-12-21

Adds helpful tools to the 'Seating Chart' screen in Genesis. Written by Andrew Hogan Aug 29, 2018.

Genesis: Seating Chart Tools 的使用方法详解,最全面的教程


Genesis: Seating Chart Tools 描述:

用户数:54

分类:生产工具插件

扩展大小:95.57 KiB

最后更新时间:2021-12-21

版本:v 1.02


Genesis: Seating Chart Tools 插件简介:

这是来自Chrome商店的 Genesis: Seating Chart Tools 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。


Genesis: Seating Chart Tools插件下载方法/流程:

点击下载按钮,关注“扩展迷Extfans”公众号并获取验证码,在网页弹窗中输入验证码,即可下载最新安装文件。


Genesis: Seating Chart Tools插件安装教程/方法:

(1)将扩展迷上下载的安装包文件(.zip)解压为文件夹,其中类型为“crx”的文件就是接下来需要用到的安装文件

(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面

(3) 打开扩展程序页面的“开发者模式”

(4) 将crx文件拖拽到扩展程序页面,

完成安装如有其它安装问题,

请扫描网站底部二维码与客服联系如有疑问请参考:

https://www.extfans.com/installation/
----- Info ----- For use in RIH district ONLY! If you are a district Tech Director/Coordinator and you are interested in this extension, or products like these, please contact me directly at andrew@ahogan.net ----- What do I do? ----- In Genesis, go to the seating chart screen in any class. There is a new button up top that says "Seating Chart Solver" Click it to open up the solver. To see what it does, click "Solve" and watch it try to solve for a seating chart solution. Next, configure student options to get the seating chart you really desire. Click "Use fittest" to implement the solution onto your seating chart Click "Close" to close the screen and ignore any changes. ----- Will it mess up my Genesis settings? ----- No - you don't have to save any changes this extension makes to your seating chart. I encourage you to experiment with it to see if you can get it to work for you. It's possible that it won't fit your needs, especially if your room layout isn't like any of the options! ----- How does it work? ----- This extension implements a Genetic Algorithm for solving the most "optimal" seating chart for your students. It's NOT plug-and-play! To get it to work well, you should spend some time configuring options and experimenting with it to get it to do what you really want. Genetic Algorithms generate "random" solutions and allow them to "compete" against each other, mimicking an evolutionary process. Each generation is evaluated for the individual with the greatest "Fitness" score. The fittest "survives" and that is your chosen solution.

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