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Designing, Running, and Analyzing Experiments(으)로 돌아가기

캘리포니아 샌디에고 대학교의 Designing, Running, and Analyzing Experiments 학습자 리뷰 및 피드백

3.7
438개의 평가
157개의 리뷰

강좌 소개

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....

최상위 리뷰

DS

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!

MP

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.

필터링 기준:

Designing, Running, and Analyzing Experiments의 152개 리뷰 중 151~152

교육 기관: Andrew J

May 09, 2016

As a stand-alone course this would be very good. The presenter is engaging and clearly knowledgeable, and the treatment of the course subject is thorough and well-designed. Grounding UX design in rigorous statistical analysis is important.

BUT as a component of the Interaction Design specialisation it was much too long (nine weeks, as long as the previous three courses combined) and the coursework was un-interesting (long sequences of statistical tests with strange names) and very different to the creative and interactive assignments in the other courses. It very quickly turned into a demoralising "death march" for me.

As part of the specialisation, this course needs to be slimmed-down radically, and perhaps complemented by other analytical approaches to UX and interaction design. In its current form, the inclusion of this course in the Interaction Design specilisation is represents an error of judgement.

교육 기관: Wendy B

Mar 24, 2016

Not recommended. Not clear why we need to use R and learn all this statistics. Not practical for use in UX design.