Online Course | Designing a Collaborative Instructional Technology Support Model
Part 1: March 7, 2018 | 1:00–2:30 p.m. ET
Part 2: March 14, 2018 | 1:00–2:30 p.m. ET
Part 3: March 21, 2018 | 1:00–2:30 p.m. ET
Faculty need a variety of instructional technology support—instructional design, content development, technology, training, and assessment—to name a few. They don’t want to go to one place for help, find out they’re in the wrong place, and be sent somewhere else—digitally or physically. Staff don’t want to provide help in silos or duplicate what other units are doing.
So, how can academic service providers collaborate to offer the right instructional technology support services, in the right place, at the right time, in the right way? In this course, instructional technologists, instructional designers, librarians, and instructional technology staff will learn to use a tool called the Service Center Canvas that does just that.
Learning Objectives:
During this course, participants will:
Explore the factors that influence how instructional technology support services are offered in higher education
Answer critical questions about how your instructional technology support services should be delivered relative to broader trends and institutional goals
Experiment with ways to prototype new services and/or new ways of delivering them
Identify potential implementation obstacles and ways to address them
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.
Course Facilitators
Elliot Felix, Founder and CEO, brightspot strategy
Felix founded and leads brightspot, a strategy consultancy that reimagines places, rethinks services, and redesigns organizations on university campuses so that people are better connected to a purpose, information, and each other. Felix is accomplished strategist, facilitator, and sense-maker who has helped transform over 70 colleges and universities.
Adam Griff is a director at brightspot. He helps universities rethink their space, reinvent their service offerings, and redesign their organization to improve the experiences of their faculty, students, and staff, connecting people and processes to create simple and intuitive answers to complex questions. He has led projects with a wide range of higher education institutions including University of Wisconsin–Madison, University of North Carolina at Chapel Hill, and University of California, Berkeley.
Although by a narrower margin for millennials and Gen Z, the numbers in the Wainhouse study shows that the personal touch hasn’t been replaced in workplace learning.
Combine the superfast calculational capacities of Big Compute with the oceans of specific personal information comprising Big Data — and the fertile ground for computational propaganda emerges. That’s how the small AI programs called bots can be unleashed into cyberspace to target and deliver misinformation exactly to the people who will be most vulnerable to it. These messages can be refined over and over again based on how well they perform (again in terms of clicks, likes and so on). Worst of all, all this can be done semiautonomously, allowing the targeted propaganda (like fake news stories or faked images) to spread like viruses through communities most vulnerable to their misinformation.
According to Bolsover and Howard, viewing computational propaganda only from a technical perspective would be a grave mistake. As they explain, seeing it just in terms of variables and algorithms “plays into the hands of those who create it, the platforms that serve it, and the firms that profit from it.”
Computational propaganda is a new thing. People just invented it. And they did so by realizing possibilities emerging from the intersection of new technologies (Big Compute, Big Data) and new behaviors those technologies allowed (social media). But the emphasis on behavior can’t be lost.
People are not machines. We do things for a whole lot of reasons including emotions of loss, anger, fear and longing. To combat computational propaganda’s potentially dangerous effects on democracy in a digital age, we will need to focus on both its howand its why.
. Link VR content to course outcomes. If you want to VR to succeed in your college classroom, you have to look at how 360-degree audio and video adds value. The forensic-science department, for example, is trying to get a close approximation of a crime scene so that students can acclimate to the job environment and take a real-world approach to investigations. Adding VR without adding value will not be effective. 2. Do a proof-of-concept app first. The history reenactment app was a great starting point, as it was a simple-to-film, single-location shoot that didn’t require much editing. You want to start simple to get an early win. They learned valuable lessons during that shoot, such as best camera placement to minimize distractions.
3. Get buy-in at the highest levels. Marketing students in the capstone project are presenting the final apps to the President, Provost, and other administration officials. Once you get buy-in at an administrative level, it’s easier to secure funding for more equipment and more promotion of your work to other departments.
Common Sense Media recently partnered with the Center for Humane Technology, which supports the development of ethical technological tools, to lay out a fierce call for regulation and awareness about the health issues surrounding tech addiction.
To support educators making such decisions, Common Sense Media is taking their “Truth about Tech” campaign to schools through an upgraded version of their current Digital Citizenship curriculum. The new updates will include more information on subjects such as:
Creating a healthy media balance and digital wellness;
Concerns about the rise of hate speech in schools, that go beyond talking about cyberbullying; and
Fake news, media literacy and curating your own content
What Does ‘Tech Addiction’ Mean?
In a recent NPR report, writer Anya Kamenetz, notes that clinicians are debating whether technology overuse is best categorized as a bad habit, a symptom of other mental struggles (such as depression or anxiety) or as an addiction.
Dr. Jenny Radesky, a developmental-behavioral pediatrician at the American Academy of Pediatrics, notes that though she’s seen solid evidence linking heavy media usage to problems with sleep and obesity, she hesitated to call the usage “addiction.”
Dr. Robert Lustig, an endocrinologist who studies hormones at the University of Southern California disagreed, noting that parents have to see the overuse of technology as an addiction.
The UN’s children’s agency, Unicef, has launched a futuristic pilot project to utilise the cryptocurrency Ethereum to raise money for Syrian children.
the “blockchain” technology associated with the cryptocurrency – the world’s second largest after the controversial Bitcoin – to revolutionise not only how aid organisations raise money but also to increase transparency in their financial transactions.
Blockchain – which emerged as one of the underpinnings of Bitcoin – is a shared record of transactions maintained by a network of computers. It has become a key technology because of its ability to record and keep track of assets or transactions with no need for middlemen.
The World Food Programme (WFP) has used Ethereum to deliver $1.4m in food vouchers, via the use of iris recognition scanners in camp supermarkets, to around 10,000 Syrian refugees in Jordan,
Moscow appears to have moved quickly into the market of cryptocurrencies and cryptography. Gref earlier warned that companies including Blockchain and Bitcoin should not be banned or hindered in their operations.
Russia’s Finance Ministry legalised cryptocurrency trading on January 25 with the Digital Assets Regulation Bill, despite vocal objections from the country’s Central Bank. The bill defined cryptocurrencies and tokens as digital financial assets that are not legal tender in Russia. The Central Bank, however, argued that digital currency trading rules should only be applied to tokens that would attract financial investments.
It’s working, generally, but it does require a good bit of config tweaking to get it to accurately count. It also needs (I’ve discovered) a certain amount of distance between the door and the camera. We have very low ceilings at our doorways and a single person can span the entire frame which appears to confuse the software. All that being said, it’s very much worth looking into.
Analytics out of the box aren’t great. The only built in report is only the current day’s numbers, but it’s pretty easy to export data. We have Libinsight from Springshare and I’m working on pumping that data into their system. It is tricky because the system basically records two things: a timestamp, and a positive or negative integer depending on whether or not the traffic was going in or out. By default, no generic analytics system seems to understand that well enough to display it the way I’d like, so I may have to create some custom reports using d3.js or similar.
I’m using the Pi 2 and standard camera module from Adafruit. I’d be happy to answer questions.
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Mark Sandford Systems Librarian Assistant Professor in the Libraries Colgate University Libraries
Elliot Felix, Founder and CEO, brightspot strategy
Adam Griff, Director, brightspot strategy