SIGCSE Day 2

I have a lot to share about my SIGCSE experience (which isn’t over yet!), and a longer post will be coming soon. I wanted to share something now, though. 

Today at SIGCSE I learned that a study from UCLA’s BRAID research group reported that only 4% of students in introductory computer science courses (at a sample size of 65 universities) in 2015 were first-generation, female college students. The paper also explores the relationship between their experiences in these courses and their feelings of self-efficacy and belonging in the computer science environment. 

I am proud to be a first generation college graduate and and even more proud to say I have a Masters degree in Computer Science.

I am learning so much from this conference and am still processing all the information. I can say right now, though, that I have a lot of strong emotions about the current state of the field. I always have, but they’re even stronger now. 

For those interested, the paper may be found here: http://dl.acm.org/citation.cfm?id=3017751

I’m officially attending SIGCSE!

I’m very excited to announce that I’ll be attending SIGCSE (Special Interest Group on Computer Science Education) this year, my first time!

I’ve been wanting to attend this conference, the supposed best for Computer Science educators, since I first heard of it back in my second year of undergrad. In fact, the professor that told me about the conference will be attending this year as well, and has already offered to introduce me to “people I should know,” which I’m very much looking forward to.

As someone who is currently in between academia jobs, this can’t come at a more perfect time. I’m very excited to meet a lot of people and learn about awesome Computer Science Education research (which is normally severely underrated).

I also just applied for a workshop that happens the day before the conference starts. The workshop is specifically for women in the early stages of the academia careers. I really hope I am selected for this workshop, as I feel I could learn a lot from it.

Here’s to a productive 2017!