English: The Google search homepage, viewed in Google Chrome. (Photo credit: Wikipedia)
Google I/O, the company’s sixth annual developer conference, got officially underway in San Francisco on Wednesday, and it was an eventful day. It took the company every minute of its epic three-hour keynote to unfurl a laundry list of announcements and updates, seemingly across every product category in its arsenal — from Android, Chrome and Search to Maps, Google+ and Hangouts — each with a fresh coat of paint. We even saw the arrival of Google’s very own subscription music service, today, which is already being touted as a potential Spotify killer.
Amidst Larry Page’s triumphant return to the stage (after addressing his much-discussed vocal issues yesterday), Google’s soaring stock price and sexy smartphone demos, it was easy to miss an important announcement concerning Google’s foray into a considerably less sexy market: Education. (And K-12 education, no less.)
Android Engineering Director Chris Yerga took the stage to introduce Google Play for Education, through which Google hopes to extend Play — its application and content marketplace for Android — into the classroom. The new store, which is scheduled to launch this fall, aims to simplify the content discovery process for schools, giving teachers and students access to the same tools that are now native to the Google Play experience.
Hatched by Google Creative Lab creative technologist Jason Striegel, designer Jeff Baxter, and a small team in New York, Coder offers a stepping stone for people interested in building for the web by converting cheap Raspberry Pi mini-computers into personal web servers through a stripped-back web-based development environment.
Google’s pitching Coder at an education audience, a potential sweet spot for Raspberry Pi given its $35 price tag and one Google has focused on previously, gifting 15,000 of the devices to UK schools earlier this year. Raspberry Pi supporters in the UK have also been urging schools to use the devices to spur interest in coding, hacking and building.
We live in an age of interruption. Ping – you have a text message. Ping – you have a new email. Ping – you have a Facebook friend request. Ping – you have a match on your online dating app. Ping-ping-ping, all day long.
A recent Gallup poll found that more than 50 per cent of Americans who own smartphones keep their phone near them “almost all the time during waking hours”. Over 50 per cent say check their smartphone at least several times an hour and 11 per cent say they check it every few minutes. And that’s just what they’re aware of and admit to – I would not be surprised if the real frequency and intensity is much higher.
Until relatively recently in our technological history we did not have a lot of content coming to our devices. Now, we have texts, all kind of notifications and what seems like an endless stream of both personal and work emails. And it’s not just our phones. How many times have you been at your computer working on something when you get an email notification? And of those instances, how often did you stop what you’re doing to look at your email, realised that it was not that important and returned to your work – after taking a few minutes to remind yourself where you were and what your train of thought was?
At this point, it should be painfully clear to everyone that we need to be worried about the interruptions economy. What value do interruptions provide, under what conditions, and what are their costs? A little ping may seem innocuous, but there is cumulating evidence that the cost of an interruption is higher than we realise, and of course given the sheer number of interruptions, their combined effect can very quickly become substantial.
Univerity of California, Berkeley logo (Photo credit: Wikipedia)
It’s worth passing along a message from UC Berkeley. According to its news service, the “fastest-growing course in UC Berkeley’s history — Foundations of Data Science [aka Data 8X] — is being offered free online this spring for the first time through the campus’s online education hub, edX.” More than 1,000 students are now taking the course each semester at the university.
Designed for students who have not previously taken statistics or computer science courses, Foundations of Data Science will teach you in a three-course sequence “how to combine data with Python programming skills to ask questions and explore problems that you encounter in any field of study, in a future job, and even in everyday life.”
For more than a thousand years, students have been gathering in lecture halls to listen to the “sage on the stage.” But shorter attention spans, new technologies, and empirical testing of learning outcomes have led us to question the tried and true historical “transmission” model of education. In this episode, Ken Steele gives a brief lecture on “the Death of Lecture.” Check out how familiar a 14th-century lecture hall at the Universite di Bologne looks. Former Quest University president David Helfand ex
In his “2017 Design in Tech Report,” John Maeda writes that “code is not the only unicorn skill.” According to Maeda, who is the head of computational design and inclusion at Automattic and former VP of design at VC firm Kleiner Perkins, words can be just as powerful as the graphics in which designers normally traffic. “A lot of times designers don’t know that words are important,” he said while presenting the report at SXSW this weekend. “I know a few designers like that–do you know these designers out there? You do know them, right?”
Despite the phenomenal rise in computing over the last 50 years, the birth of the internet, and our ever increasing reliance on technology, women are still not engaging with computer science at the same rate as men.
This has been outlined in a recent report from the University of Roehampton, which reveals that only 9% of girls schools offer computing at A-level, compared with 44% of boys schools, and 25% of mixed-sexsixth forms and colleges.
The report shows that in 2016 only a minority of schools (29%) entered pupils for GCSE computing – despite it being a foundation subject on the national curriculum. The figure is even lower at A-level, with only 24% of schools entering their students for the qualification.
Things don’t fair any better in further education either, with the Digest of Education statistics revealing the percentage of females who took an undergraduate degree in computer science in 1970-71 was 14%. This rose to 37% in 1983-84 but gradually declined to 18% in 2010-11.
Roughly every ten years there’s a shift to a new computing paradigm. The computer hardware and process optimization of the 80’s gave way to the Microsoft-dominated software and productivity of the 90s. Google-dominated web-based information retrieval of the 00s yielded to the Apple–Android mobile duopoly and the warehouse of apps paradigm of the 10’s.
The maturity of the web, intelligent cloud computing, advances in AI and the mobility of our digital experiences are setting the stage for the next shift to more ambient computing via the Internet of Things. By 2020 the number of connected devices is expected to triple to 34 billion (with a global human population of 7.5 billion).