For the past two weeks, Team Super Cool Scholars has been making improvements to our prototypes and testing them with participants. We have also been working on our final deliverables and preparing for our summer presentation. …

Lo-fi Analysis and Synthesis This sprint mainly focused on analyzing our lo-fi data, as well as planning and conducting our mid-fi testing. One of the changes we made this semester was to change our note-taking technique in order to facilitate the synthesis of data. Last semester, all our notes were taken in the Google…

Team Retrospective The summer semester starts with a bang for the Super Cool Scholars. Our team put into action a whole onslaught of changes and improvements. As a team, we took a careful look at our previous successes and failures. One thing that we changed was that we started to define more…

Team Super Cool Scholars has spent the last three weeks tying up our research, finalizing our main insights, and preparing for our Spring presentation, which we delivered on the 5th of May. The purpose of the presentation was to present the research we have done, as well as the insights…

Overview For the past two weeks, Team Super Cool Scholars has mostly been working on conducting contextual inquiries with reviewers and continuing to synthesize our research data. We have also been discussing the insights we are starting to generate and using them to inform our next steps moving forward. …

Over the past two weeks, Team Super Cool Scholars has been working on synthesizing data from the primary and secondary research that we have been conducting to generate deep insights that can guide us moving forward. …

This week is the mid-way point for the ApplyGrad project. Over the course of the past sprint, our team has worked to tie up research on the current and past system of ApplyGrad. We have moved beyond looking at where each department converges and diverges to mapping the journey of…

The hum of Super Cool Scholars working… Research has always been fun as it uncovers insights we were not previously aware of. …

As the fields of machine learning and artificial intelligence continue to grow, so does the popularity of Computer Science graduate programs. Carnegie Mellon’s School of Computer Science is no exception. But with this popularity comes an increasing number of applicants; in the 2019–2020 application cycle, over 10,000 applications were submitted…