Showing posts with label we. Show all posts
Showing posts with label we. Show all posts

Thursday, October 13, 2016

The Web We Have to Save

Have you noticed that the web seems to have changed in the last few years?  Do you feel that its become more of a broadcast medium where you consume (often by passively watching) pre-prepared content, than a place where you used to go exploring for content. Canadian/Iranian author and blogger, Hossein Derakhshan, who was imprisoned in Iran for 6 years and recently released, has written a thought provoking article called "The Web We Have to Save". His incarceration enabled him to view todays web with fresh eyes since he was denied Internet access for 6 years. He believes that the web has become much more passive and that, for example, your Facebook news feed encourages you to merely "like" things, whereas previously by blogging and actively creating links to other webpages you could explain the relationships between ideas and their significance to you.
Hossein recognises that the web content you view is increasingly being curated for you, often by algorithms, which he and others call "the Stream". He says "the Stream, mobile applications, and moving images: They all show a departure from a books-internet toward a television-internet. We seem to have gone from a non-linear mode of communication?—?nodes and networks and links?—?toward a linear one, with centralization and hierarchies. The web was not envisioned as a form of television when it was invented. But, like it or not, it is rapidly resembling TV: linear, passive, programmed and inward-looking." 
As someone who has been using the web since the mid 1990s I can see where Hossein is coming from. But I also recognise that for many people who are not writers, journalists, academics, or are politically active, the web has become just a means by which they watch TV and movies, listen to music, read the equivalent of a never ending personalised magazine, and exchange photos with their friends. It is perhaps the webs great strenght that it can operate in both these modes.

from The Universal Machine http://universal-machine.blogspot.com/

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Thursday, August 25, 2016

Why We Need to Tame Our Algorithms Like Dogs

Algorithms control our daily lives, wether were aware of it or not. Algorithms run riot in financial markes; they predict the weather and electricity demand; they price insurance and decide how many doctors to schedule to the emergency room on any given night. They even decide what groceries to stock in your local supermarket. Given algorithms (hidden) importance it therefore makes sense that they work for  us. An interesting article in Wired makes the point that our algorithms need to evolve alongside us, much as dogs have, to become useful servants.

from The Universal Machine http://universal-machine.blogspot.com/

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Tuesday, July 12, 2016

We are joining the Open edX platform



A year ago, we released Course Builder, an experimental platform for online education at scale. Since then, individuals have created courses on everything from game theory to philanthropy, offered to curious people around the world. Universities and non-profit organizations have used the platform to experiment with MOOCs, while maintaining direct relationships with their participants. Google has published a number of courses including Introduction to Web Accessibility which opens for registration today. This platform is helping to deliver on our goal of making education more accessible through technology, and enabling educators to easily teach at scale on top of cloud platform services.

Today, Google will begin working with edX as a contributor to the open source platform, Open edX. We are taking our learnings from Course Builder and applying them to Open edX to further innovate on an open source MOOC platform. We look forward to contributing to edX’s new site, MOOC.org, a new service for online learning which will allow any academic institution, business and individual to create and host online courses.

Google and edX have a shared mission to broaden access to education, and by working together, we can advance towards our goals much faster. In addition, Google, with its breadth of applicable infrastructure and research capabilities, will continue to make contributions to the online education space, the findings of which will be shared directly to the online education community and the Open edX platform.

We support the development of a diverse education ecosystem, as learning expands in the online world. Part of that means that educational institutions should easily be able to bring their content online and manage their relationships with their students. Our industry is in the early stages of MOOCs, and lots of experimentation is still needed to find the best way to meet the educational needs of the world. An open ecosystem with multiple players encourages rapid experimentation and innovation, and we applaud the work going on in this space today.

We appreciate the community that has grown around the Course Builder open source project. We will continue to maintain Course Builder, but are focusing our development efforts on Open edX, and look forward to seeing edX’s MOOC.org platform develop. In the future, we will provide an upgrade path to Open edX and MOOC.org from Course Builder. We hope that our continued contributions to open source education projects will enable anyone who builds online education products to benefit from our technology, services and scale. For learners, we believe that a more open online education ecosystem will make it easier for anyone to pick up new skills and concepts at any time, anywhere.
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Thursday, June 23, 2016

The Computer Science Pipeline and Diversity Part 1 How did we get here



(Cross-posted on the Google for Education Blog)

For many years, the Computer Science industry has struggled with a pipeline problem. Since 2009, when the number of undergraduate computer science (CS) graduates hit a low mark, there have been many efforts to increase the supply to meet an ever-increasing demand. Despite these efforts, the projected demand over the next seven years is significant.
Source: 2013 Taulbee Survey, Computing Research Association
Even if we are able to sustain a positive growth in graduation rates over the next 7 years, we will only fill 30-40% of the available jobs.

“By 2022, the computer and mathematical occupations group is expected to yield more than 1.3 million job openings. However, unlike in most occupational groups, more job openings will stem from growth than from the need to replace workers who change occupations or leave the labor force.” -Bureau of Labor Statistics Occupational Projection Report, 2012.

More than 3 in 4 of these 1.3M jobs will require at least a Bachelor’s degree in CS or an Information Technology (IT) area. With our current production of only 16,000 CS undergraduates per year, we are way off the mark. Furthermore, within this too-small pipeline of CS graduates, is an even smaller supply of diverse - women and underrepresented minority (URM) - students. In 2013, only 14% of graduates were women and 20% URM. Why is this lack of representation important?
  • The workforce that creates technology should be representative of the people who use it, or there will be an inherent bias in design and interfaces.
  • If we get women and URMs involved, we will fill more than 30-40% of the projected jobs over the next 7 years.
  • Getting more women and URMs to choose computing occupations will reduce social inequity, since computing occupations are among the fastest-growing and pay the most.
Why are so few students interested in pursuing computing as a career, particularly women and URMs? How did we get here?

One fundamental reason is the lack of STEM (Science, Technology, Engineering and Mathematics) capabilities in our younger students. Over the last several years, international comparisons of K12 students’ performance in science and mathematics place the U.S. in the middle of the ranking or lower. On the National Assessment of Educational Progress, less than one-third of U.S. eighth graders show proficiency in science and mathematics. Lack of proficiency has led to lack of engagement in technical degree programs, which include CS and IT.

“In the United States, about 4% of all bachelor’s degrees awarded in 2008 were in engineering. This compares with about 19% throughout Asia and 31% in China specifically. In computer sciences, the number of bachelor’s and master’s degrees awarded decreased sharply from 2004 to 2007.”  -NSF: Higher Education in Science and Engineering.

The lack of proficiency has had a substantial impact on the overall number of students pursuing technical careers, but there have also been shifts resulting from trends and events in the technology sector that compound the issue. For example, we saw an increase in CS graduates from 1997 to the early 2000’s which reflected the growth of the dot-com bubble. Students, seeing the financial opportunities, moved increasingly toward technical degree programs. This continued until the collapse, after which a steady decrease occurred, perhaps as a result of disillusionment or caution.

Importantly, there are additional factors that are minimizing the diversity of individuals, particularly women, pursuing these fields. It’s important to note that there are no biological or cognitive reasons that justify a gender disparity in individuals participating in computing (Hyde 2006). With similar training and experience, women perform just as well as men in computer-related activities (Margolis 2003). But there can be important differences in reinforced predilections and interests during childhood that affect the diversity of those choosing to pursue computer science .

In general, most young boys build and explore; play with blocks, trains, etc.; and engage in activity and movement. For a typical boy, a computer can be the ultimate toy that allows him to pursue his interests, and this can develop into an intense passion early on. Many girls like to build, play with blocks, etc. too. For the most part, however, girls tend to prefer social interaction. Most girls develop an interest in computing later through social media and YouTubers, girl-focused games, or through math, science and computing courses. They typically do not develop the intense interest in computing at an early age like some boys do – they may never experience that level of interest (Margolis 2003).

Thus, some boys come into computing knowing more than girls because they have been doing it longer. This can cause many girls to lose confidence and drive during adolescence with the perception that technology is a man’s world - Both girls and boys perceive computing to be a largely masculine field (Mercier 2006). Furthermore, there are few role models at home, school or in the media changing the perception that computing is just not for girls. This overall lack of support and encouragement keeps many girls from considering computing as a career. (Google white paper 2014)

In addition, many teachers are oblivious to or support the gender stereotypes by assigning problems and projects that are oriented more toward boys, or are not of interest to girls. This lack of relevant curriculum is important. Many women who have pursued technology as a career cite relevant courses as critical to their decision (Liston 2008).

While gender differences exist with URM groups as well, there are compelling additional factors that affect them. Jane Margolis, a senior researcher at UCLA, did a study in 2000 resulting in the book Stuck in the Shallow End. She and her research group studied three very different high schools in Los Angeles, with different student demographics. The results of the study show that across all three schools, minority students do not get the same opportunities. While all of the students have access to basic technology courses (word processor, spreadsheet skills, etc.), advanced CS courses are typically only made available to students who, because of opportunities they already have outside school, need it less. Additionally, the best and most enthusiastic minority students can be effectively discouraged because of systemic and structural issues, and belief systems of teachers and administrators. The result is a small, mostly homogeneous group of students have all the opportunities and are introduced to CS, while the rest are relegated to the “shallow end of computing skills”, which perpetuates inequities and keeps minority students from pursuing computing careers.

These are some of the reasons why the pipeline for technical talent is so small and why the diversity pipeline is even smaller. Over the last two years, however, we are starting to see some positive signs.
  • Many students are becoming more aware of the relevance and accessibility of coding through campaigns such as Hour of Code and Made with Code.
  • This increase in awareness has helped to produce a steady increase in CS and IT graduates, and there’s every indication this growth will continue.
  • More opportunities to participate in CS-related activities are becoming available for girls and URMs, such as CS First, Technovation, Girls who Code, Black Girls Code, #YesWeCode, etc.
There’s much more that can be done to reinforce these positive trends, and to get more students of all types to pursue computing as a career. This is important not only to high tech, but is critical for our nation to compete globally. In the next post of this series, we will explore some of the positive steps that have been taken in increasing the diversity of graduates in Computer Science (CS) and Information Technology (IT) fields.
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Monday, April 11, 2016

With artificial intelligence we are summoning the demon

Well thats what Tesla chief executive Elon Musk has just warned us of in a lengthy talk to MIT Aeronautics and Astronautics departments Centennial Symposium. Heres a quote: "I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, its probably that. So we need to be very careful with the artificial intelligence. Increasingly scientists think there should be some regulatory oversight maybe at the national and international level, just to make sure that we dont do something very foolish. With artificial intelligence we are summoning the demon. In all those stories where theres the guy with the pentagram and the holy water, its like yeah hes sure he can control the demon. Didnt work out."
   By coincidence yesterday whilst watching a doco called Los Angeles Plays Itself I noted a comment in the film: "Robots wont be sexy and dangerous, theyll be boring and efficient - and take our jobs" that rather chimes with Musks thoughts.
You can watch his entire talk below.


from The Universal Machine http://universal-machine.blogspot.com/

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