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.
I’ve spent many years referencing Wikipedia’s list of cognitive biases whenever I have a hunch that a certain type of thinking is an official bias but I can’t recall the name or details. It’s been an invaluable reference for helping me identify the hidden flaws in my own thinking. Nothing else I’ve come across seems to be both as comprehensive and as succinct.
However, honestly, the Wikipedia page is a bit of a tangled mess. Despite trying to absorb the information of this page many times over the years, very little of it seems to stick. I often scan it and feel like I’m not able to find the bias I’m looking for, and then quickly forget what I’ve learned. I think this has to do with how the page has organically evolved over the years. Today, it groups 175 biases into vague categories (decision-making biases, social biases, memory errors, etc) that don’t really feel mutually exclusive to me, and then lists them alphabetically within categories. There are duplicates a-plenty, and many similar biases with different names, scattered willy-nilly.
I’ve taken some time over the last four weeks (I’m on paternity leave) to try to more deeply absorb and understand this list, and to try to come up with a simpler, clearer organizing structure to hang these biases off of. Reading deeply about various biases has given my brain something to chew on while I bounce little Louie to sleep.
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.
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.
The group will serve as an opportunity to connect and engage with researchers and domain experts to drive awareness of Microsoft Research and Windows Azure for Research. We’d like for you to be part of the community and discussions.
What is the Windows Azure for Research initiative?
The Windows Azure for Research project facilitates and accelerates scholarly and scientific research by enabling researchers to use the power of Windows Azure to perform big data computations in the cloud.
Windows Azure Research Award Program
Microsoft Research is soliciting proposals for the use of Windows Azure in research. We welcome research proposals from any branch of scholarly activity. To qualify, applicants must be affiliated with an academic institution or non-profit research laboratory. In addition to individual investigator projects, we are interested in projects that will support access to services and data of value to a collaboration or community. Winning proposals will be awarded large allocations of Windows Azure storage and compute resources for a period of one year.
This article from Will Thalhimer, particularly in relation to the limitations of lab-based rather than practical reserach, is excellent. It encapsulates exactly why my own research is based on my actual work and not some contrived set of lab-based circumstances. It is let down only by its fondness for exclamation marks…
It also reminds me of my mantra, “Despite what they would have you believe, no one knows anything.”
In the learning field, research insights can help practitioners (trainers, teachers, instructional designers, elearning developers) build more effective learning interventions. Unfortunately, some practitioners look at the flaws and limitations in the research and reject research entirely. This article, by noted research-translator, Will Thalheimer, PhD, provides insights into balancing research limitations and benefits—by examining the workplace learning field.
If you write essays in high school, college, or anywhere, you know how important putting together a bibliography can be. The bibliography is an essential part of your work. It shows the sources you’re quoting and allows you to avoid the dreaded accusation of plagiarism.
But citing sources can be mind-numbingly tedious, and it can be hard to format a citation correctly. Luckily, there are many online resources that take the guesswork out of the Works Cited page!
Here are a few online tools, and most of them free. We hope they will help you cite your sources correctly and put together your bibliography no matter how complex.