From DSC:
The article below relays some interesting thoughts on what an alternative syllabus could look like. It kind of reminds me of a digital playlist…

Looking For Syllabus 2.0 — from usv.com by Dani Grant

Excerpt:

There have been several attempts already to curate online resources for learning new topics. Usually they take the form of a list of links. The problem with the list of links approach is that they are static and they are inefficient. You don’t need to read a whole link to get the main point, you want to curate little bits and pieces of open resources: 30 seconds of this podcast, a minute and a half from this youtube video, just these 4 paragraphs from this article.

The thing that is closest to a modern internet syllabi is Susan Fowler’s guide for learning physics (it’s really amazing, go check it out). What if you could have that type of curated guide for many topics that gets updated by the community over time, with inline discussion with other learners?

I think Syllabus 2.0 could look something like this:

We’ve created a sample syllabus for this last topic so you can see what we envision in action. It curates 8 hours of podcasts, talks and blog posts into a 30 minute guide.

 

 

 

Presentation Translator for PowerPoint — from Microsoft (emphasis below from DSC:)

Presentation Translator breaks down the language barrier by allowing users to offer live, subtitled presentations straight from PowerPoint. As you speak, the add-in powered by the Microsoft Translator live feature, allows you to display subtitles directly on your PowerPoint presentation in any one of more than 60 supported text languages. This feature can also be used for audiences who are deaf or hard of hearing.

 

Additionally, up to 100 audience members in the room can follow along with the presentation in their own language, including the speaker’s language, on their phone, tablet or computer.

 

From DSC:
Up to 100 audience members in the room can follow along with the presentation in their own language! Wow!

Are you thinking what I’m thinking?! If this could also address learners and/or employees outside the room as well, this could be an incredibly powerful piece of a next generation, global learning platform! 

Automatic translation with subtitles — per the learner’s or employee’s primary language setting as established in their cloud-based learner profile. Though this posting is not about blockchain, the idea of a cloud-based learner profile reminds me of the following graphic I created in January 2017.

A couple of relevant quotes here:

A number of players and factors are changing the field. Georgia Institute of Technology calls it “at-scale” learning; others call it the “mega-university” — whatever you call it, this is the advent of the very large, 100,000-plus-student-scale online provider. Coursera, edX, Udacity and FutureLearn (U.K.) are among the largest providers. But individual universities such as Southern New Hampshire, Arizona State and Georgia Tech are approaching the “at-scale” mark as well. One could say that’s evidence of success in online learning. And without question it is.

But, with highly reputable programs at this scale and tuition rates at half or below the going rate for regional and state universities, the impact is rippling through higher ed. Georgia Tech’s top 10-ranked computer science master’s with a total expense of less than $10,000 has drawn more than 10,000 qualified majors. That has an impact on the enrollment at scores of online computer science master’s programs offered elsewhere. The overall online enrollment is up, but it is disproportionately centered in affordable scaled programs, draining students from the more expensive, smaller programs at individual universities. The dominoes fall as more and more high-quality at-scale programs proliferate.

— Ray Schroeder

 

 

Education goes omnichannel. In today’s connected world, consumers expect to have anything they want available at their fingertips, and education is no different. Workers expect to be able to learn on-demand, getting the skills and knowledge they need in that moment, to be able to apply it as soon as possible. Moving fluidly between working and learning, without having to take time off to go to – or back to – school will become non-negotiable.

Anant Agarwal

 

From DSC:
Is there major change/disruption ahead? Could be…for many, it can’t come soon enough.

 

 

Smart speakers hit critical mass in 2018 — from techcrunch.com by Sarah Perez

Excerpt (emphasis DSC):

We already know Alexa had a good Christmas — the app shot to the top of the App Store over the holidays, and the Alexa service even briefly crashed from all the new users. But Alexa, along with other smart speaker devices like Google Home, didn’t just have a good holiday — they had a great year, too. The smart speaker market reached critical mass in 2018, with around 41 percent of U.S. consumers now owning a voice-activated speaker, up from 21.5 percent in 2017.

 

In the U.S., there are now more than 100 million Alexa-enabled devices installed — a key milestone for Alexa to become a “critical mass platform,” the report noted.

 

 

On one hand XR-related technologies
show some promise and possibilities…

 

The AR Cloud will infuse meaning into every object in the real world — from venturebeat.com by Amir Bozorgzadeh

Excerpt:

Indeed, if you haven’t yet heard of the “AR Cloud”, it’s time to take serious notice. The term was coined by Ori Inbar, an AR entrepreneur and investor who founded AWE. It is, in his words, “a persistent 3D digital copy of the real world to enable sharing of AR experiences across multiple users and devices.”

 

Augmented reality invades the conference room — from zdnet.com by Ross Rubin
Spatial extends the core functionality of video and screen sharing apps to a new frontier.

 

 

The 5 most innovative augmented reality products of 2018 — from next.reality.news by Adario Strange

 

 

Augmented, virtual reality major opens at Shenandoah U. next fall — from edscoop.com by by Betsy Foresman

Excerpt:

“It’s not about how virtual reality functions. It’s about, ‘How does history function in virtual reality? How does biology function in virtual reality? How does psychology function with these new tools?’” he said.

The school hopes to prepare student for careers in a field with a market size projected to grow to $209.2 billion by 2022, according to Statista. Still at its advent, Whelan compared VR technology to the introduction of the personal computer.

 

VR is leading us into the next generation of sports media — from venturebeat.com by Mateusz Przepiorkowski

 

 

Accredited surgery instruction now available in VR — from zdnet.com by Greg Nichols
The medical establishment has embraced VR training as a cost-effective, immersive alternative to classroom time.

 

Toyota is using Microsoft’s HoloLens to build cars faster — from cnn.comby Rachel Metz

From DSC:
But even in that posting the message is mixed…some pros…some cons. Some things going well for XR-related techs…but for other things, things are not going very well.

 

 

…but on the other hand,
some things don’t look so good…

 

Is the Current Generation of VR Already Dead? — from medium.com by Andreas Goeldi

Excerpt:

Four years later, things are starting to look decidedly bleak. Yes, there are about 5 million Gear VR units and 3 million Sony Playstation VR headsets in market, plus probably a few hundred thousand higher-end Oculus and HTC Vive systems. Yes, VR is still being demonstrated at countless conferences and events, and big corporations that want to seem innovative love to invest in a VR app or two. Yes, Facebook just cracked an important low-end price point with its $200 Oculus Go headset, theoretically making VR affordable for mainstream consumers. Plus, there’s even more hype about Augmented Reality, which in a way could be a gateway drug to VR.

But it’s hard to ignore a growing feeling that VR is not developing as the industry hoped it would. So is that it again, we’ve seen this movie before, let’s all wrap it up and wait for the next wave of VR to come along about five years from now?

There are a few signs that are really worrying…

 

 

From DSC:
My take is that it’s too early to tell. We need to give things more time.

 

 

 

The WT2 in-ear translator will be available in January, real-time feedback soon — from wearable-technologies.com by Cathy Russey

Excerpt:

Shenzhen, China & Pasadena, CA-based startup Timekettle wants to solve the language barrier problem. So, the company developed WT2 translator – an in-ear translator for real-time, natural and hands-free communication. The company just announced they’ll be shipping the new translator in January, 2019.

 

 

 

The information below is from Heather Campbell at Chegg
(emphasis DSC)


 

Chegg Math Solver is an AI-driven tool to help the student understand math. It is more than just a calculator – it explains the approach to solving the problem. So, students won’t just copy the answer but understand and can solve similar problems at the same time. Most importantly,students can dig deeper into a problem and see why it’s solved that way. Chegg Math Solver.

In every subject, there are many key concepts and terms that are crucial for students to know and understand. Often it can be hard to determine what the most important concepts and terms are for a given subject, and even once you’ve identified them you still need to understand what they mean. To help you learn and understand these terms and concepts, we’ve provided thousands of definitions, written and compiled by Chegg experts. Chegg Definition.

 

 

 

 

 


From DSC:
I see this type of functionality as a piece of a next generation learning platform — a piece of the Living from the Living [Class] Room type of vision. Great work here by Chegg!

Likely, students will also be able to take pictures of their homework, submit it online, and have that image/problem analyzed for correctness and/or where things went wrong with it.

 

 


 

 

Alexa, get me the articles (voice interfaces in academia) — from blog.libux.co by Kelly Dagan

Excerpt:

Credit to Jill O’Neill, who has written an engaging consideration of applications, discussions, and potentials for voice-user interfaces in the scholarly realm. She details a few use case scenarios: finding recent, authoritative biographies of Jane Austen; finding if your closest library has an item on the shelf now (and whether it’s worth the drive based on traffic).

Coming from an undergraduate-focused (and library) perspective, I can think of a few more:

  • asking if there are any group study rooms available at 7 pm and making a booking
  • finding out if [X] is open now (Archives, the Cafe, the Library, etc.)
  • finding three books on the Red Brigades, seeing if they are available, and saving the locations
  • grabbing five research articles on stereotype threat, to read later

 

Also see:

 

 

 

Virtual digital assistants in the workplace: Still nascent, but developing — from cisco.com by Pat Brans
As workers get overwhelmed with daily tasks, they want virtual digital assistants in the workplace that can alleviate some of the burden.

Excerpts:

As life gets busier, knowledge workers are struggling with information overload.

They’re looking for a way out, and that way, experts say, will eventually involve virtual digital assistants (VDAs). Increasingly, workers need to complete myriad tasks, often seemingly simultaneously. And as the pace of business continues to drive ever faster, hands-free, intelligent technology that can speed administrative tasks holds obvious appeal.

So far, scenarios in which digital assistants in the workplace enhance productivity fall into three categories: scheduling, project management, and improved interfaces to enterprise applications. “Using digital assistants to perform scheduling has clear benefits,” Beccue said.

“Scheduling meetings and managing calendars takes a long time—many early adopters are able to quantify the savings they get when the scheduling is performed by a VDA. Likewise, when VDAs are used to track project status through daily standup meetings, project managers can easily measure the time saved.”

 

Perhaps the most important change we’ll see in future generations of VDA technology for workforce productivity will be the advent of general-purpose VDAs that help users with all tasks. These VDAs will be multi-channel (providing interfaces through mobile apps, messaging, telephone, and so on) and they will be bi-modal (enlisting text and voice).

 

 

 

 

A Space for Learning: A review of research on active learning spaces — from by Robert Talbert and Anat Mor-Avi

Abstract:
Active Learning Classrooms (ALCs) are learning spaces specially designed to optimize the practice of active learning and amplify its positive effects in learners from young children through university-level learners. As interest in and adoption of ALCs has increased rapidly over the last decade, the need for grounded research in their effects on learners and schools has grown proportionately. In this paper, we review the peer-reviewed published research on ALCs, dating back to the introduction of “studio” classrooms and the SCALE-UP program up to the present day. We investigate the literature and summarize findings on the effects of ALCs on learning outcomes, student engagement, and the behaviors and practices of instructors as well as the specific elements of ALC design that seem to contribute the most to these effects. We also look at the emerging cultural impact of ALCs on institutions of learning, and we examine the drawbacks of the published research as well as avenues for potential future research in this area.

 

1: Introduction
1.1: What is active learning, and what is an active learning classroom?
Active learning is defined broadly to include any pedagogical method that involves students actively working on learning tasks and reflecting on their work, apart from watching, listening, and taking notes (Bonwell & Eison, 1991). Active learning has taken hold as a normative instructional practice in K12 and higher education institutions worldwide. Recent studies, such as the 2014 meta-analysis linking active learning pedagogies with dramatically reduced failure rates in university-level STEM courses (Freeman et al., 2014) have established that active learning drives increased student learning and engagement across disciplines, grade levels, and demographics.

As schools, colleges, and universities increasingly seek to implement active learning, concerns about the learning spaces used for active learning have naturally arisen. Attempts to implement active learning pedagogies in spaces that are not attuned to the particular needs of active learning — for example, large lecture halls with fixed seating — have resulted in suboptimal results and often frustration among instructors and students alike. In an effort to link architectural design to best practices in active learning pedagogy, numerous instructors, school leaders, and architects have explored how learning spaces can be differently designed to support active learning and amplify its positive effects on student learning. The result is a category of learning spaces known as Active Learning Classrooms (ALCs).

While there is no universally accepted definition of an ALC, the spaces often described by this term have several common characteristics:

  • ALCs are classrooms, that is, formal spaces in which learners convene for educational activities. We do not include less-formal learning spaces such as faculty offices, library study spaces, or “in-between” spaces located in hallways or foyers.
  • ALCs include deliberate architectural and design attributes that are specifically intended to promote active learning. These typically include moveable furniture that can be reconfigured into a variety of different setups with ease, seating that places students in small groups, plentiful horizontal and/or vertical writing surfaces such as whiteboards, and easy access to learning
    technologies (including technological infrastructure such as power outlets).
  • In particular, most ALCs have a “polycentric” or “acentric” design in which there is no clearly-defined front of the room by default. Rather, the instructor has a station which is either
    movable or located in an inconspicuous location so as not to attract attention; or perhaps there is no specific location for the instructor.
  • Finally, ALCs typically provide easy access to digital and analog tools for learning , such as multiple digital projectors, tablet or laptop computers, wall-mounted and personal whiteboards, or classroom response systems.

2.1: Research questions
The main question that this study intends to investigate is: What are the effects of the use of ALCs on student learning, faculty teaching, and institutional cultures? Within this broad overall question, we will focus on four research questions:

  1. What effects do ALCs have on measurable metrics of student academic achievement? Included in such metrics are measures such as exam scores, course grades, and learning gains on pre/post-test measures, along with data on the acquisition of “21st Century Skills”, which we will define using a framework (OCDE, 2009) which groups “21st Century Skills” into skills pertaining to information, communication, and ethical/social impact.
  2. What effects do ALCs have on student engagement? Specifically, we examine results pertaining to affective, behavioral, and cognitive elements of the idea of “engagement” as well as results that cut across these categories.
  3. What effect do ALCs have on the pedagogical practices and behaviors of instructors? In addition to their effects on students, we are also interested the effects of ALCs on the instructors who use them. Specifically, we are interested in how ALCs affect instructor attitudes toward and implementations of active learning, how ALCs influence faculty adoption of active learning pedagogies, and how the use of ALCs affects instructors’ general and environmental behavior.
  4. What specific design elements of ALCs contribute significantly to the above effects? Finally, we seek to identify the critical elements of ALCs that contribute the most to their effects on student learning and instructor performance, including affordances and elements of design, architecture, and technology integration.

 

Active Learning Classrooms (ALCs)

 

 

The common denominator in the larger cultural effects of ALCs and active learning on students and instructors is the notion of connectedness, a concept we have already introduced in discussions of specific ALC design elements. By being freer to move and have physical and visual contact with each other in a class meeting, students feel more connected to each other and more connected to their instructor. By having an architectural design that facilitates not only movement but choice and agency — for example, through the use of polycentric layouts and reconfigurable furniture — the line between instructor and students is erased, turning the ALC into a vessel in which an authentic community of learners can take form.

 

 

 

 

Reflections on “Are ‘smart’ classrooms the future?” [Johnston]

Are ‘smart’ classrooms the future? — from campustechnology.com by Julie Johnston
Indiana University explores that question by bringing together tech partners and university leaders to share ideas on how to design classrooms that make better use of faculty and student time.

Excerpt:

To achieve these goals, we are investigating smart solutions that will:

  • Untether instructors from the room’s podium, allowing them control from anywhere in the room;
  • Streamline the start of class, including biometric login to the room’s technology, behind-the-scenes routing of course content to room displays, control of lights and automatic attendance taking;
  • Offer whiteboards that can be captured, routed to different displays in the room and saved for future viewing and editing;
  • Provide small-group collaboration displays and the ability to easily route content to and from these displays; and
  • Deliver these features through a simple, user-friendly and reliable room/technology interface.

Activities included collaborative brainstorming focusing on these questions:

  • What else can we do to create the classroom of the future?
  • What current technology exists to solve these problems?
  • What could be developed that doesn’t yet exist?
  • What’s next?

 

 

 

From DSC:
Though many peoples’ — including faculty members’ — eyes gloss over when we start talking about learning spaces and smart classrooms, it’s still an important topic. Personally, I’d rather be learning in an engaging, exciting learning environment that’s outfitted with a variety of tools (physically as well as digitally and virtually-based) that make sense for that community of learners. Also, faculty members have very limited time to get across campus and into the classroom and get things setup…the more things that can be automated in those setup situations the better!

I’ve long posted items re: machine-to-machine communications, voice recognition/voice-enabled interfaces, artificial intelligence, bots, algorithms, a variety of vendors and their products including Amazon’s Alexa / Apple’s Siri / Microsoft’s Cortana / and Google’s Home or Google Assistant, learning spaces, and smart classrooms, as I do think those things are components of our future learning ecosystems.

 

 

 

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