Designing, Running, and Analyzing Experiments

I had to invest hours of my scarce time to complete tasks that aren't suited for an Interaction Designer, but rather for a mathematician.

)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.

It is very well structured and provides a foundation of research and I am glad that it is a part of Interaction Design specialization.

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.

Unfortunately tis a total mismatch in the Interaction Design specialisation.

Also this should not be part of the interaction design specialisation, and just be a small part of another course.

With all due respect this course shows a huge contrast with previous course in the interaction design specialisation and really make me feel a bit disappointed.

This is a very interesting and an important area in the Interaction Design Specialisation.

this is ruining this course for me, realizing that no support is available for significant issues like this This course was extremely helpful in understanding which statistical test to use when, with applications specifically for interaction design, which is what I need :) I appreciated the clear relationship between the lectures and the quizzes & assignments.

I have to be honest, I hated this course mostly because I suffered from the start to the end, but don't get me wrong, the concepts are great and very interesting, I didn't know how much information can you get from a simple CSV file; the thing is the course is based in the RStudio tool and I struggled very much with it; missing libraries, constant crashes, and at some point I lost the thread, the concepts start to seem too complex for someone who hasn't much experience with coding so my motivation went away and at the end I was just following instructions to make it through.

I don't even know how I passed but also I don't see how I can remember to use Rcode for future work within HCI I liked the professor.

Should cover how to select sample for experiments and perform experimental design test Great course, a little too long compared to other courses it's a little too much materials.

I would have preferred if the course focused on getting the results(data) and keeping the statistical analysis to a few (most common) areas.