Last month, the nonprofit Center for Democracy and Technology (CDT) published a report arguing schools and districts should go the way of other industries and hire a Chief Privacy Officer to oversee their organization’s privacy policies and practices.
But the reality is that Chief Privacy Officers in K-12 education are about as common as unicorns.
Two years ago, Denver Public Schools created a new role, the Student Data Privacy Officer, after the Colorado legislature passed a law to promote student data privacy and transparency.
Anchor allows users to record and edit podcast episodes, all through an app on their cellphones. The service distributes and uploads episodes to streaming services, such as Spotify and Apple Podcasts, and provides analytics following publication.
“Traditionally, it’s write, write, write, write, write, and if you’re not a strong writer, you may start to think you’re not good at an English class in general.”
Podcasts that require scripts similarly encourage students to explore writing formats that stray from the traditional essay.
“When it’s just my eyes seeing it, it’s one-on-one and I’m the safety net,” Stevens said. “Even when you open it up to their classmates, they realize ‘OK, I’m going to be judged by them,’ and then you open it up to the internet. It’s a big deal.”
Last spring, cinematic arts and broadcast journalism teacher Michael Hernandez introduced his 11th and 12th graders to podcasting to teach them speaking skills that could be necessary for upcoming college or job interview.
Many educational institutions maintain their own data centers. “We need to minimize the amount of work we do to keep systems up and running, and spend more energy innovating on things that matter to people.”
what’s the difference between machine learning (ML) and artificial intelligence (AI)?
Jeff Olson: That’s actually the setup for a joke going around the data science community. The punchline? If it’s written in Python or R, it’s machine learning. If it’s written in PowerPoint, it’s AI.
machine learning is in practical use in a lot of places, whereas AI conjures up all these fantastic thoughts in people.
What is serverless architecture, and why are you excited about it?
Instead of having a machine running all the time, you just run the code necessary to do what you want—there is no persisting server or container. There is only this fleeting moment when the code is being executed. It’s called Function as a Service, and AWS pioneered it with a service called AWS Lambda. It allows an organization to scale up without planning ahead.
How do you think machine learning and Function as a Service will impact higher education in general?
The radical nature of this innovation will make a lot of systems that were built five or 10 years ago obsolete. Once an organization comes to grips with Function as a Service (FaaS) as a concept, it’s a pretty simple step for that institution to stop doing its own plumbing. FaaS will help accelerate innovation in education because of the API economy.
If the campus IT department will no longer be taking care of the plumbing, what will its role be?
I think IT will be curating the inter-operation of services, some developed locally but most purchased from the API economy.
As a result, you write far less code and have fewer security risks, so you can innovate faster. A succinct machine-learning algorithm with fewer than 500 lines of code can now replace an application that might have required millions of lines of code. Second, it scales. If you happen to have a gigantic spike in traffic, it deals with it effortlessly. If you have very little traffic, you incur a negligible cost.
zSpace is a technology firm based in Sunnyvale, California that combine elements of virtual and augmented reality in a computer. zSpace allows people to interact with simulated objects in virtual environments as if they are real.
Part 1: March 13, 2019 | 1:00–2:30 p.m. ET
Part 2: March 20, 2019 | 1:00–2:30 p.m. ET
Part 3: March 27, 2019 | 1:00–2:30 p.m. ET
A picture is worth a thousand words, but developing a data picture worth a thousand words involves careful thought and planning. IT leaders are often in need of sharing their story and vision for the future with campus partners and campus leadership. Delivering this message in a compelling way takes a significant amount of thought and planning. This session will take participants through the process of constructing their story, how to (and how not to) incorporate data and anecdotes effectively, how to design clear data visualizations, and how to present their story with confidence.
During this course, participants will:
Develop a story that elicits a specific outcome
Identify and effectively use data elements to support a compelling story
Learn how to tell your story in a clear and effective way
NOTE: Participants will be asked to complete assignments in between the course segments that support the learning objectives stated below and will receive feedback and constructive critique from course facilitators on how to improve and shape their work.
Leah Lang, Director of Analytics Services, EDUCAUSE
Leah Lang leads EDUCAUSE Analytics Services, a suite of data services, products, and tools that can be used to inform decision-making about IT in higher education. The foundational service in this suite is the EDUCAUSE Core Data Services (CDS), higher education’s comprehensive IT benchmarking data service.
Social media is the best friend disinformation ever had, and the cure is far from obvious.
Anya Schiffrin is an adjunct faculty member at the School of International and Public Affairs at Columbia University. She worked in Hanoi from 1997 to 1999 as the bureau chief of Dow Jones Newswires.
Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics By Yochai Benkler, Robert Faris, & Hal Roberts
Oxford University Press
A Harvard law professor who is a well-known theorist of the digital age, Benkler and colleagues have produced an authoritative tome that includes multiple taxonomies and literature reviews as well as visualizations of the flow of disinformation.
white supremacist and alt-right trolls
a history of the scholarship on propaganda, reminding the reader that much of the discussion began in the 1930s.
Benkler’s optimistic 2007 book, The Wealth of Networks, predicted that the Internet would bring people together and transform the way information is created and spread. Today, Benkler is far less sanguine and has become one of the foremost researchers of disinformation networks.
Fox News, Breitbart, The Daily Caller, InfoWars, and Zero Hedge
As a result, mainstream journalists repeat and amplify the falsehoods even as they debunk them.
There is no clear line, they argue, between Russian propaganda, Breitbart lies, and the Trump victory. They add that Fox News is probably more influential than Facebook.
after George Soros gave a speech in January 2018 calling for regulation of the social media platforms, Facebook hired a Republican opposition research firm to shovel dirt at George Soros.
The European Union has not yet tried to regulate disinformation (although they do have codes of practice for the platforms), instead focusing on taxation, competition regulation, and protection of privacy. But Germany has strengthened its regulations regarding online hate speech, including the liability of the social media platforms.
disclosure of the sources of online political advertising.It’s a bit toothless because, just as with offshore bank accounts, it may be possible to register which U.S. entity is paying for online political advertising, but it’s impossible to know whether that entity is getting its funds from overseas. Even the Honest Ads bill was too much for Facebook to take.
In 2018 we witnessed a clash of titans as government and tech companies collided on privacy issues around collecting, culling and using personal data. From GDPR to Facebook scandals, many tech CEOs were defending big data, its use, and how they’re safeguarding the public.
1. Companies will face increased pressure about the data AI-embedded services use.
2. Public concern will lead to AI regulations. But we must understand this tech too.
In 2018, the National Science Foundation invested $100 million in AI research, with special support in 2019 for developing principles for safe, robust and trustworthy AI; addressing issues of bias, fairness and transparency of algorithmic intelligence; developing deeper understanding of human-AI interaction and user education; and developing insights about the influences of AI on people and society.
This investment was dwarfed by DARPA—an agency of the Department of Defence—and its multi-year investment of more than $2 billion in new and existing programs under the “AI Next” campaign. A key area of the campaign includes pioneering the next generation of AI algorithms and applications, such as “explainability” and common sense reasoning.