From DSC:
Is this only on Pixel 4? If so, too bad. It has a lot of potential — especially for students and lecture capture!

Speaking of lecture capture…Panopto offers an incredible search feature for searching text, audio, and video!

“With Panopto, you can search through your video library the same way you’d search across the internet, or through your email.

  • By any keyword spoken in your videos
  • By any word that ever appears on-screen or anywhere else in your video
  • By traditional and advanced metadata, including tags and titles, viewer notes and comments, and even speakers notes from your PowerPoint slides.
  • Panopto enables you to search across every video in your library…and get specific results that fast-forward to the exact moment the keyword occurs in your video.”

 

 

Accessibility and Usability Resource site from Quality Matters

 

Meet AURS — Your go-to resource for addressing accessibility challenges — from wcetfrontiers.org and Quality Matters

Excerpt:

Accessibility is not only one of the main areas of focus for WCET, but a consistent issue and opportunity for higher education institutions. In order to support faculty, instructional designers, and others who work in the area, Quality Matters, a WCET member, created a new resource site for educators to get information on how to address key accessibility and usability concerns. Today’s post introduces the new website, AURS, and reviews the development process for the site and the resources.

 

The 7 biggest technology trends in 2020 everyone must get ready for now — from forbes.com by Bernard Marr

Excerpts:

  • AI-as-a-service
  • 5G data networks
  • Autonomous Driving
  • Personalized and predictive medicine
  • Computer Vision
  • Extended Reality
  • Blockchain Technology

 

From DSC:
I appreciate this list from Bernard. I would also add voice-enabled interfaces/products (NLP) to this list, as well as more integration of AI into learning-related applications and services. 

For the federal agencies, state representatives, senators, law schools, students in law school, lawyers, legislators, CIO’s, and CEO’s etc. out there: Are you/we ready for these? Given the pace of exponential change, how are you seeking to keep a pulse-check on these types of emerging technologies and their impacts on our society? How are you/we guiding the development of these emerging technologies?

 

Internet of Things in the World of School— from datafloq.com

Excerpt:

In this blog post, we’ll discuss the benefits of the IoT for education — the sphere that remains farther to the background in terms of the IoT application but can benefit from it at all stages. Besides, schools are meant to prepare students for entry into the adult world. As the IoT changes the landscape of their futures, it is crucial to change the space where students spend their formative years.

 

 

Artificial Intelligence in Future and Present — from datafloq.com
A look at what AI might do and what it can actually do in various industries…

  • Artificial Intelligence and Medicine
  • Artificial Intelligence and Finance
  • Artificial Intelligence and Manufacturing
  • Artificial Intelligence and Media & Entertainment
  • Artificial Intelligence and Education

 

 

Information Technology (IT) skills and jobs are widely misunderstood to be housed primarily in the tech sector, and they are also thought to be inaccessible to all but a small minority of people who have focused intently on computer science. Building on our prior research efforts and mining a database of more than 150 million unique online U.S. job postings, Oracle Academy and Burning Glass Technologies produce new evidence that neither of these perceptions are borne out by data. To the contrary, 90% of IT skills and jobs are concentrated in 10 non-tech industries, leaving only 10% in the tech sector. The rapid growth of IT jobs is more than 50% greater in non-tech industries than in tech industries.

 

Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

 

 

 

The Global Landscape of Online Program Companies — from by Doug Lederman
New trove of data suggests a bigger, more complex, more varied ecosystem of companies that work with colleges to take their academic programs online.

Excerpt:

A new dataset promises to give college leaders, company officials and others involved in the online learning landscape much more information about who offers what programs, how they manage them and where the money is flowing, among other factors.

And the company behind the new data, Holon IQ, published a report today that gives a new name to the large and diversifying category of providers that are working with colleges to take their programs online: OPX, instead of OPM, for online program management companies. (More on that later.)

Also see:

Also see:

  • Multi-Faculty Collaboration to Design Online General Studies Courses — from facultyfocus.com by B. Jean Mandernach
    Excerpt:
    While this type of autonomy in course design makes sense for the face-to-face classroom, it may be less practical–and less effective–in the context of online education. Simply put, development of a high-quality online course takes considerable time and advanced knowledge of online pedagogy. If multiple faculty members are teaching the same course online (as is often the case with general studies or other high-demand courses), it is not an efficient use of departmental time, resources, or budget to have multiple faculty developing their own online classroom for different sections of the same course.
 

Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions — from er.educause.edu by Elana Zeide
What are the benefits and challenges of using artificial intelligence to promote student success, improve retention, streamline enrollment, and better manage resources in higher education?

Excerpt:

The promise of AI applications lies partly in their efficiency and partly in their efficacy. AI systems can capture a much wider array of data, at more granularity, than can humans. And these systems can do so in real time. They can also analyze many, many students—whether those students are in a classroom or in a student body or in a pool of applicants. In addition, AI systems offer excellent observations and inferences very quickly and at minimal cost. These efficiencies will lead, we hope, to increased efficacy—to more effective teaching, learning, institutional decisions, and guidance. So this is one promise of AI: that it will show us things we can’t assess or even envision given the limitations of human cognition and the difficulty of dealing with many different variables and a wide array of students.

A second peril in the use of artificial intelligence in higher education consists of the various legal considerations, mostly involving different bodies of privacy and data-protection law. Federal student-privacy legislation is focused on ensuring that institutions (1) get consent to disclose personally identifiable information and (2) give students the ability to access their information and challenge what they think is incorrect.7 The first is not much of an issue if institutions are not sharing the information with outside parties or if they are sharing through the Family Educational Rights and Privacy Act (FERPA), which means an institution does not have to get explicit consent from students. The second requirement—providing students with access to the information that is being used about them—is going to be an increasingly interesting issue.8 I believe that as the decisions being made by artificial intelligence become much more significant and as students become more aware of what is happening, colleges and universities will be pressured to show students this information. People are starting to want to know how algorithmic and AI decisions are impacting their lives.

My short advice about legal considerations? Talk to your lawyers. The circumstances vary considerably from institution to institution.

 

Is virtual reality the future of online learning? — from builtin.com by Stephen Gossett; with thanks to Dane Lancaster for his tweet on this (see below)
Education is driving the future of VR more than any other industry outside of gaming. Here’s why virtual reality gets such high marks for tutoring, STEM development, field trips and distance education.

 

 

 

Screen Mirroring, Screencasting and Screen Sharing in Higher Education — from edtechmagazine.com by Derek Rice
Digital learning platforms let students and professors interact through shared videos and documents.

Excerpt (emphasis DSC):

Active learning, collaboration, personalization, flexibility and two-way communication are the main factors driving today’s modern classroom design.

Among the technologies being brought to bear in academic settings are those that enable screen mirroring, screencasting and screen sharing, often collectively referred to as wireless presentation solutions.

These technologies are often supported by a device and app that allow users, both students and professors, to easily share content on a larger screen in a classroom.

“The next best thing to a one-to-one conversation is to be able to share what the students create, as part of the homework or class activity, or communicate using media to provide video evidence of class activities and enhance and build out reading, writing, speaking, listening, language and other skills,” says Michael Volpe, marketing manager for IOGEAR.

 

Lessons in learning — from news.harvard.edu by Peter Reuell; with thanks to Jason Findley for this resource out on Twitter
Study shows students in ‘active learning’ classrooms learn more than they think

Excerpts:

The question of whether students’ perceptions of their learning matches with how well they’re actually learning is particularly important, Deslauriers said, because while students eventually see the value of active learning, initially it can feel frustrating.

“Deep learning is hard work. The effort involved in active learning can be misinterpreted as a sign of poor learning,” he said. “On the other hand, a superstar lecturer can explain things in such a way as to make students feel like they are learning more than they actually are.”

When the results were tallied, the authors found that students felt as if they learned more from the lectures, but in fact scored higher on tests following the active learning sessions. “Actual learning and feeling of learning were strongly anticorrelated,” Deslauriers said, “as shown through the robust statistical analysis by co-author Kelly Miller, who is an expert in educational statistics and active learning.”

 

40+ Emerging IoT Technologies you should have on your radar — from iot-analytics.com by Knud Lasse Lueth

Excerpt:

As part of the “State of the IoT – Summer 2019 Update”, the analyst team at IoT Analytics handpicked 43 of the most promising technologies that are relevant to IoT projects around the globe. The team ranked the IoT technologies according to their perceived maturity (based on expert interviews, vendor briefings, secondary research, and conference attendances).

 

 

5 Reasons Why BU’s $24K MBA Is A Big Deal — from insidehighered.com by Joshua Kim
Why I’m intrigued.

Excerpt:

The newly announced $24K BU MBA, created in partnership with edX, is a big deal.

Here are 5 reasons why:
#1: The Evolving Connection Between Status and Price:

The Boston University Questrom School of Business is ranked in the top 50 global business schools by US News, in the top 70 by the Economist. Questrom is a brand name business school in a market where the value of the MBA is directly proportional to the status of the institution.

Today, status and price are tightly correlated in the postsecondary market. This is especially true in professional education. Student prices are not set at costs, but at perceived value.

BU should be given credit for challenging this status quo. I suspect that the Questrom $24K MBA will end up improving BU’s place in the global MBA rankings.

 

What is different now is that it will not only be enthusiasm for learning science that will drive schools (and MBA programs) to improve their programs. It will be the market. 

 

Gartner: Top Wireless Tech Trends to Watch — from campustechnology.com by Rhea Kelly

Excerpts:

The research firm identified 10 key wireless trends worth watching as the technology continues to develop over the next five years:

  • Vehicle-to-everything (V2X) wireless. This is the technology that will allow conventional cars, self-driving cars and the road infrastructure to all share information and status data.
  • Wireless sensing. This involves using the absorption and reflection of wireless signals as sensor data for radar tracking purposes. As an example, Gartner pointed to wireless sensing as an indoor radar system for robots and drones.
 
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