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學生對 加州大学圣地亚哥分校 提供的 设计,运行和实验分析 的評價和反饋

432 個評分
157 個審閱


You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs....



Jun 04, 2017

This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!


Jul 17, 2019

Very difficult content of the module, but the teacher explained the issues clearly. Tests were also helpful in understanding and mastering the material.


151 - 设计,运行和实验分析 的 152 個評論(共 152 個)

創建者 Mariana M O C

May 06, 2016

I took up to week 2 and, so far, this course assumes statistics knowledge. I expected it would provide a background on the rather than just run a code and show the results.

創建者 Ryan S

Jun 30, 2016

Omigod! You're kicking this off in R-studio and teaching the whole course from this interface? Could you at least use a pen with ink that we can read when you're not in R?!

This might be the last straw for me in this specialization. Nothing about this subject matter is easily digestible for a designer, and I'm okay with that. (I'm also a web/js developer, so I'm used to intense struggles with really abstract stuff.)

What I can't get over is that this is part of an interaction design specialization that teaches design concepts, but whose instructors almost never practice those concepts in their pedagogy. "Do as I say, not as I do" seems to be the prevailing MO. The whole effort seems totally half-baked, and nowhere more so than in this course.

I might not be so harsh if there weren't such great examples of well designed pedagogy elsewhere in Coursera, and for material that's at least as dry as statistics.