Posts tagged ‘BPC’

The challenge of retaining women in computing: The 2016 Taulbee Survey: Supplementary Report on Course-level Enrollment

The Computing Research Association (CRA) has just released a supplement to their 2016 Taulbee Survey report.  They now are collecting individual course data, which gives them more fine-grained numbers about who is entering the major, who is retained until mid-level, and who makes it to the upper-level.  Previously, they mostly just had enrollment and graduation data.  These new data give them new insights.  For example, we are getting more women and URM in computing, but we are not retaining them all.

Except in the introductory course for non-majors, the median percentage of women in courses at each level was either fairly constant or increasing [from previous years]. The most notable increase was in the mid-level course, where the median percentage of women went from 17.4 in 2015 to 20.0 in 2016. The median percentage of women in the upper-level course also increased, from 14.1 to 15.9 percent. We see a slight drop-off from the median percentage of women in the introductory course for majors in 2015 (21.0 percent) to the median percentage of women in the mid-level course in 2016 (20.0 percent), and a somewhat larger drop-off between the median percentage of women in the mid-level course in 2015 (17.4 percent) and the median percentage of women in the upper-level course in 2016 (15.9 percent).  Because the median percentage at each level is for a single representative course, not for all students at that level, some of the differences between levels may be attributable to the specific courses on which the institutions chose to report. Overall, however, this trend of decreasing representation of women at higher course levels is congruent with other data.

Source: The 2016 Taulbee Survey: Supplementary Report on Course-level Enrollment – CRA

September 18, 2017 at 7:00 am 4 comments

British girls “logging off” from CS: What’s the real problem?

The BBC reports (in the article linked below) that the “revolution in computing education has stalled.”  The data from England (including the Roehampton Report, discussed in this blog post) do back up that claim — see the quotes at the bottom.

In this post, I’m reflecting on the response from the British Computer Society. “We need to do more with the curriculum to show it’s not just a nerdy boys’ subject. We’ve got to show them it’s about real problems like climate change and improving healthcare.”  There are some interesting assumptions and warrants in these statements.  Do girls avoid CS because they think it’s a boys’ subject, or because it’s not about real problems?  How does the curriculum “show” that it is (or isn’t) a “nerdy boys’ subject”?  If the curriculum emphasized “real problems,” would it no longer be a “nerdy boys’ subject”?  Are these at all connected? Would making CS be like “climate change and improving healthcare” attract more female students?

First, I’d like to know if the girls choosing ICT over CS are actually saying that it’s because CS is “a nerdy boys’ subject,” and if the girls know anything about the curriculum in CS.  In our research, we found that high school students know very little about what actually happens in undergraduate CS, and undergraduate students in CS don’t even know what’s in their next semester’s classes. Changing the curriculum doesn’t do much good if the girls’ decisions are being made without knowing about the curriculum.  The former claim, that CS is perceived by girls as a “nerdy boys’ subject,” is well-supported in the literature.  But is that the main reason why the girls aren’t enrolling?

Do we know that this a curriculum issue at all? The evidence suggests that there are other likely reasons.

  • Maybe it’s not the curriculum’s “problem” focus, but the “learning objective” focus. Do the girls percieve that the point of the course is to become part of the Tech industry as a professional programmer?  Maybe girls are more interested in broadening their potential careers and not limiting their options to IT?  ICT can be used anywhere.  CS might be perceived as being about being a software developer.
  • Are the girls seeing mass media depictions of programming and deciding that it’s not for them?  A 2016 ICER paper by Colleen Lewis, Ruth Anderson, and Ken Yasuhara explored the reasons why students might not feel that they have a good “fit” with CS (see ACM paper link here).  But are those the reasons why women might not even try CS? Maybe they have had experiences with programming and decided that they didn’t fit? Or maybe the decided that syntax errors and unit tests are just tedious and boring?
  • Are the girls seeing mass media depictions of the Tech industry and deciding that they’d rather not be a Googler or work at Uber? They are probably hearing about things like the Damore memo at Google. Whether they think he’s right or not, maybe girls are saying that they just don’t want to bother.
  • Do the girls have more choices, and CS is simply less attractive in comparison?  It may be that girls know that CS is about solving real problems, but they’d rather solve real problems in law, medicine, or business.
  • Do the girls perceive that wages are not rising in the Tech industry?  Or do the girls perceive that they can make more money (perhaps with fewer negative connotations) as a lawyer, doctor, or businessperson?

I have heard from some colleagues in England that the real problem is a lack of teachers.  I can believe that having too few teachers does contribute to the problem, but that raises the same questions at another level.  Why don’t teachers teach computer science?  Is it because they don’t want to be in the position of being “vocational education,” simply preparing software developers?  Or are teachers deciding that they are dis-interested in software development, for themselves or for their students?  Or are the teachers looking at other areas of critical need for teachers and decide that CS is less attractive?

Bottom line is that we know too little, in the UK or in the US (see Generation CS), about what is influencing student and teacher decisions to pursue or to avoid classes in computing. The reality doesn’t matter here — people make decisions based on their perceptions.

In England, entries for the new computer science GCSE, which is supposed to replace ICT, rose modestly from 60,521 in 2016 to 64,159 this year. Girls accounted for just 20% of entries, and the proportion was a tiny bit lower than last year.

ICT entries fell from 84,120 to 73,099, which you would expect as the subject is disappearing from the national curriculum. But it had proved more attractive to girls. Even there, the proportion of female entries fell from 41% to 39%.

Combine the two subjects, and you find that the number studying either subject has fallen by over 7,000 in the past year. Back in 2015 more than 47,000 girls were getting some kind of computing qualification, and that has fallen to about 41,000 – just 30% of the total.

Source: Computer science: Girls logging off – BBC News

September 15, 2017 at 7:00 am 8 comments

It’s not about Google. Our diversity efforts aren’t working

The sexist “internal memo” from Google has been filling my social media feeds for the last few days. I’m not that excited about it.  Within every organization, there will be some people who disagree with just about any policy.  The enormous screed is so scientifically incorrect that I have a hard time taking it seriously.  

For example, the memo claims that the gap between men and women in CS is due to biology. That can’t be when there are more women than men in CS, especially in the Middle East and Northern Africa.  I saw a great study at NCWIT a few years ago on why programming is seen as women’s work in those parts of the world — it’s detailed work, done inside, sometimes with one other person. It looks like sewing or knitting. When told that programmers were mostly male in the US, the participants reportedly asked, “What’s masculine about programming?”  There’s an interesting take from four scientists who claim that everything that the internal memo says is correct.

The positive outcome from this memo is Ian Bogost’s terrific essay about the lack of diversity in Tech, from industry to higher education. It’s not about Google. It’s that our diversity efforts are having little impact. Ian explains how our problem with diversity is deeply rooted and influences the historical directions of computing. I highly recommend it to you.

These figures track computing talent more broadly, even at the highest levels. According to data from the Integrated Postsecondary Education Data System, for example, less than 3 percent of the doctoral graduates from the top-10 ranked computer science programs came from African American, Hispanic, Native American, and Pacific Islander communities during the decade ending in 2015.

Given these abysmal figures, the idea that diversity at Google (or most other tech firms) is even modestly encroaching on computing’s incumbents is laughable. To object to Google’s diversity efforts is to ignore that they are already feeble to begin with.

Source: A Googler’s Anti-Diversity Screed Reveals Tech’s Rotten Core – The Atlantic

August 9, 2017 at 7:00 am 13 comments

The factors influencing students choosing to go into STEM: Economics and gender matter

I saw this in a College Board report, which summarized the paper cited below with these bullets:

  • For both genders, academics played a large part in major choice—passing grades in calculus, quantitative test scores, and years of mathematics in high school were notable.
  • Also important to both young men and women was a student’s own view of his or her quantitative/mathematical abilities.
  • Key drivers in decision making differed between genders. First-generation status correlated with young men being more likely to major in engineering, while a low-income background was associated with young women majoring in scientific fields.

Based on the findings presented here, first generation status leads to a greater likelihood of choosing engineering careers for males but not for females. Financial difficulties have a greater effect on selecting scientific fields than engineering fields by females. The opposite is true for males. Passing grades in calculus, quantitative test scores, and years of mathematics in high school as well as self-ratings of abilities to analyze quantitative problems and to use computing are positively associated with choice of engineering fields.

Source: Choice of Academic Major at a Public Research University: The Role of Gender and Self-Efficacy | SpringerLink

July 31, 2017 at 7:00 am 2 comments

Helping students succeed in AP CS: GT Computing Undergraduate Female Rising Up to Challenge in CS

There’s a common refrain heard at “CS for All” and BPC events in the US these days. “AP CS A is just terrible. AP CS Principles will fix everything.” The reality is that there are bad AP CS A classes, and there are good ones. There is evidence that just having good curricula doesn’t get you more and more diverse students. The more important reality is that AP CS A accurately matches most introductory computer science classes in the United States. If you want students to succeed at the CS classes that are in our Universities today, AP CS A is the game to play at high school.

That’s why Barbara’s Rise Up programs are so important. She’s helping female and African-American students succeed in the CS that’s in their schools and on University campuses today. And she’s having tremendous success, as seen in the story below about a female high school football player who is now a CS undergraduate.

Barbara’s work is smart, because she’s working with the existing CS infrastructure and curricula. She’s helping students to succeed at this game, through a process of tutoring and near-peer mentoring. This is a strategy to get more female CS undergraduates.

That’s when she discovered Sisters Rise Up 4 CS, a relatively new program developed in Fall 2014 at Georgia Tech by Barbara Ericson. The program was based on Project Rise Up 4 CS, which aims to help African-American students pass the AP Computer Science A exam. Sisters Rise Up does the same for females.The program offers extra help sessions in the form of webinars and in-person help sessions, near-peer role models, exposure to a college campus, and a community of learners.“The program helped me get hooked on computer science,” Seibel said. “I started to actually learn. Seeing that some of the girls in the program had interned at Google or other places like that, and that they really loved CS, it gets you excited about it. They were only a few years older than me, and I was like, ‘Oh. That could be me.’”

Source: GT Computing Undergraduate Sabrina Seibel Rising Up to Challenge in CS | College of Computing

July 26, 2017 at 9:00 am 1 comment

Why are underrepresented minorities and poor over-represented in courses? has a blog post describing their latest demographics results showing that they have remarkably high percentages of women (45%) and under-represented minorities (48%). In fact, their students are 49% on free and reduced meals.

Only 38% of students in the US are on free and reduced lunch.  44% of students in the US are Black or Hispanic (using US Department of Education data).

What does it mean that classes are over-sampling under-represented groups and poorer students?

I don’t know. Certainly, it’s because targeted large, urban school districts.  That’s who’s there.  But it’s not like the classes are unavailable to anyone else.  If the perception was these are valuable, shouldn’t more suburban schools be wanting them, too?

One explanation I can imagine is that schools that are majority poor and/or minority might be under-funded, so classes with their well-defined curriculum and clear teacher preparation models are very attractive. Those schools may not have the option of hiring (say) an AP CS teacher who might pick from one of the curriculum options, or even develop his or her own.

The key question for me is: Why aren’t the more majority and wealthier schools using classes?  CS is a new-to-schools, mostly-elective subject.  Usually those new opportunities get to the wealthy kids first.  Unless they don’t want it. Maybe the wealthy schools are dismissing these opportunities?

It’s possible that classes (and maybe CS in high school more generally) might get end up stigmatized as being for the poor and minority kids?  Perhaps the majority kids or the middle/upper-class kids and schools avoid those classes? We have had computing classes in Georgia that were considered “so easy” that administrators would fill the classes with problem students — college-bound students would avoid those classes.  We want CS for all. has achieved something wonderful in getting so many diverse students into computing classes. The questions I’m raising are not meant as any criticism of  Rather, I’m asking how the public at large is thinking about CS, and I’m using classes as an exemplar since we have data on them.  Perceptions matter, and I’m raising questions about the perceptions of CS classes in K-12.

I do have a complaint with the claim in the post quoted below.  The citation is to the College Board’s 2007 study which found that AP CS students are more likely to major in CS than most other AP’s, with a differentially strong impact for female and under-represented minority students.  “Taking AP CS” is not the same as “learn computer science in K-12 classrooms.”  That’s too broad a claim — not all K-12 CS is likely to have the same result.

Today, we’re happy to announce that our annual survey results are in. And, for the second year in a row, underrepresented minorities make up 48% of students in our courses and females once again make up 45% of our students…When females learn computer science in K-12 classrooms, they’re ten times more likely to major in it in college. Underrepresented minorities are seven to eight times more likely.

Source: Girls and underrepresented minorities are represented in courses

July 21, 2017 at 8:00 am 10 comments

“Algorithms aren’t racist. Your skin is just too dark.”: Teaching Ethics to future Software Developers

In my Ethics class this summer, I had my students watch Joy Buolamwini’s TED talk when we talked about professional ethics and responsibility.  My students had not before considered the possibility that bias is being built into software, but they recognized the importance of her message. Our students who will be software engineers have to be thinking about her message, about the racism that we build into our machines.

She’s been getting a lot of press since her TED talk, including this recent piece in The Guardian.  In her blog post quoted below, she responds to her critics in a careful and respectful tone, which took an enormous amount of maturity and patience.  “Suggesting people with dark skin keep extra lights around to better illuminate themselves misses the point.”  She is more patient and well-spoken than me. I think my response to the critics would have included the phrase, “Are you kidding me?!?” (with perhaps a couple more words in there).

One of the goals of the Algorithmic Justice League is to highlight problems with artificial intelligence so we can start working on solutions. We provide actionable critique while working on research to make more inclusive artificial intelligence. In speaking up about my experiences, others have been encouraged to share their stories. The silence is broken. More people are aware that we can embed bias in machines. This is only the beginning as we start to collect more reports.

Source: Algorithms aren’t racist. Your skin is just too dark.

July 17, 2017 at 7:00 am Leave a comment

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