This article talks about measuring learning outcomes in MOOC settings. It does have some good points. They pointed out that current peer grading is like producing teacher clones which might not be the best approach. It is problematic that we ask peers to rate each other like a teacher would. I was thinking that instead of giving peers holistic scores, learners would simply extract features that would be helpful to predict or classify learning outcomes. It is pretty funny they mentioned "teachers grade students in the way the USDA grades beef." The image is just hilarious.
The White House recently invited teachers, game developers and policy makers to witness gaming softwares that might play a part in how we educate children in the future. At the event, some of the biggest game developers presented games they created in 48 hours to teachers and selected students. The event was deemed a success. President Obama has preached for continuous investment on educational gaming. Studies have shown there is a 12 percent increase in learning outcomes when students engage in gaming. I think gaming is a great concept to incorporate into class activities. However, it might not produce the desired educational outcomes due to the makeup of schools and lack of instructional time for educators.
Market failure occurs when the market fails to produce efficient results. This also means the market is experiencing negative outcomes. There are different factors that cause market failures such as positive and negative externalities, environmental concerns, monopoly abuse, public goods, informational asymmetries and regulation. Externalities cause market failure because the creator of externalities do not pay all the cost of spillovers which impacts others. People are impacted by the decision of others. Monopoly causes market failure because the prices are too high in order to make profit at the expense of the consumers. In information asymmetry, people do not buy because the sellers know more about a product than a buyer. Public goods are goods which create spillover benefits, non-excludability in consumption and things people can consume without paying are under produced in society.
An interesting article in the Times about the relationship between online information literacy and average family income: Academic Skills on Web Are Tied to Income Level. It suggests that students coming from wealthier families are better at online academic research than those coming from middle to lower class families.
“Teachers have to expect and recognize that they can’t just say ‘Google something,’ because some of our students still don’t know what that means, believe it or not,” said Susan B. Neuman, a professor of early childhood and literacy education at New York University who is a co-editor of Reading Research Quarterly. In the study, the researchers polled the students about whether they used the Internet for schoolwork. They found that three quarters of the students in the lower-income school had been required to use the web for sch
An interesting and possible MOOC business model.
When you edit documents on BitBucket, you will use the Markdown syntax. Markdown is a new type of text-to-html syntax, which is comprised entirely of punctuation characters. The punctuation characters have been carefully chosen so as to look like what they mean.
As I'm creating a long README file using markdown on BitBucket, I have to save the text from time to time. I do this in order to inspect what my latest input looks like and also to make sure all work is saved in time. However, I noticed saving of the work was taking a long time. I think this is because my document is very long.
I searched online for potential workaround for this and found mou (http://25.io/mou/) editor, which you can install on your MAC and work on markdown document locally. The great thing about it is that it has two screens, one for input and the other for output. With this, you can work on your documents in a WYSIWYG style, which will save you a lot of time.
This is an inspiring article on how Google does self reflection in their culture and interview process.
This paper talked about results of comparing different machine learning techniques in classification problem. The results are interesting and somehow expected. Support Vector Machines (SVM) and Artificial Neural Networks (ANN) performed best overall. Also, feature selection is a a great factor for any algorithm. Selecting irrelevant features will have a huge impact on any of them and Linear Discriminant Analysis (LDA) suffered most. Apply some sort of filter before using features as it is very important, especially for LDA.
The results are can be very helpful in choosing which ML method. And using a filter is a great idea!
MoMA PS1 is hosting an art book fair this weekend beginning Friday 9/26 and ending Sunday 9/28! (There's also a sneak preview happening tomorrow 9/25 from 6-9pm that I will be attending). It's free and open to the public and there will even be a few authors signing copies of their books during the event!
Definitely something to check out if you have the time. Here is more information on the fair:
THE NY ART BOOK FAIR at MoMA PS1
Printed Matter presents the ninth annual NY Art Book Fair, from September 26 to 28, 2014, at MoMA PS1, Long Island City, Queens. Free and open to the public, the NY Art Book Fair is the world’s premier event for artists’ books, catalogs, monographs, periodicals, and zines. This year, the fair features over 350 booksellers, antiquarians, artists, institutions and independent publishers from twenty-eight countries. Last year’s fair was attended by more than 27,000 people.
Please join us for an evening with:
We will screen their Seen in NY episodes and hear from them about how and why they got started with their organization.
The event will happen on October 2nd and begin at 6:30 with the presentations starting at 7:00. A Q&A session and networking will take us to the end of the event at 9:00!
If you are planning on attending, please RSVP here.