When the Animated Bunny in the TV Show Listens for Kids’ Answers — and Answers Back — from edsurge.com by Rebecca Koenig

Excerpt:

Yet when this rabbit asks the audience, say, how to make a substance in a bottle less goopy, she’s actually listening for their answers. Or rather, an artificially intelligent tool is listening. And based on what it hears from a viewer, it tailors how the rabbit replies.

“Elinor can understand the child’s response and then make a contingent response to that,” says Mark Warschauer, professor of education at the University of California at Irvine and director of its Digital Learning Lab.

AI is coming to early childhood education. Researchers like Warschauer are studying whether and how conversational agent technology—the kind that powers smart speakers such as Alexa and Siri—can enhance the learning benefits young kids receive from hearing stories read aloud and from watching videos.

From DSC:
Looking at the above excerpt…what does this mean for elearning developers, learning engineers, learning experience designers, instructional designers, trainers, and more? It seems that, for such folks, learning how to use several new tools is showing up on the horizon.

 

8 Higher Education IT Trends to Watch in 2021 [Stone]

8 Higher Education IT Trends to Watch in 2021 — from edtechmagazine.com by Adam Stone
Keep your eye on these trends as higher education prepares for a post-pandemic future.

Excerpt:

1. Get Used to More Advanced Learning Management Systems
At Virginia Tech, the Canvas learning management system (LMS) was critical for coordinating synchronous and asynchronous learning. Such systems will only become more sophisticated moving forward, says Randy Marchany, the university’s IT security officer. “With COVID, instructors have become more video savvy,” he says. “We’re all getting smarter about how we use these tools.”

2. A Rise in Sophisticated Videoconferencing Platforms
Even after the pandemic, educators might continue lecturing over Zoom and other videoconferencing platforms. However, they’ll be doing it in more sophisticated ways. “People will be making these experiences more collaborative, more authentic — with much richer interactions and conversations,” Grajek says. “We are all becoming more experienced consumers, and we will see a lot of innovation in this area.”

From DSC:
Yet another step closer…

Yet another step closer to the Learning from the Living Class Room vision

 

Building a Learner-Centered Ecosystem -- from the Strada Education Network

Strada Institute identified five key pillars these lifelong learners will need from an education and training system designed for them:

  1. It has to be easy to navigate.
  2. Supports are needed to help learners balance their lives.
  3. Targeted education should lead to a job.
  4. Hiring practices must be transparent and fair.
  5. Students must be able to earn while learning.

Also see:

Are we ready for this? — from stradaeducation.org by Andrew Pelesh
Preparing the Education-Workforce System for the 100-Year Career

 

Microsoft Education offers a free tutoring service to help students with their math problems — from educatorstechnology.com

Excerpt:

In today’s post I want to bring to your attention this interesting math resource from Microsoft Education called Tutoring Experts. As its name indicates, Tutoring Experts allows students to seek help with their math problems from tutors that are available 24/7.

Also see:

Get instant math help from expert tutors.

From DSC:
One wonders if there aren’t some opportunities here for more online-based tutoring services. Perhaps graduates from schools of education will move more towards this type of thing…

Perhaps the online-based materials in the future will have a question mark “?” icon that instantly connects to that service’s teachers, professors, trainers, pastors, and/or other SMEs. Or perhaps this type of thing is already there…I’m not sure.

 

Could AI-based techs be used to develop a “table of contents” for the key points within lectures, lessons, training sessions, sermons, & podcasts? [Christian]

From DSC:
As we move into 2021, the blistering pace of emerging technologies will likely continue. Technologies such as:

  • Artificial Intelligence (AI) — including technologies related to voice recognition
  • Blockchain
  • Augment Reality (AR)/Mixed Reality (MR)/Virtual Reality (VR) and/or other forms of Extended Reality (XR)
  • Robotics
  • Machine-to-Machine Communications (M2M) / The Internet of Things (IoT)
  • Drones
  • …and other things will likely make their way into how we do many things (for better or for worse).

Along the positive lines of this topic, I’ve been reflecting upon how we might be able to use AI in our learning experiences.

For example, when teaching in face-to-face-based classrooms — and when a lecture recording app like Panopto is being used — could teachers/professors/trainers audibly “insert” main points along the way? Similar to something like we do with Siri, Alexa, and other personal assistants (“Heh Siri, _____ or “Alexa, _____).

Like an audible version of HTML -- using the spoken word to insert the main points of a presentation or lecture

(Image purchased from iStockphoto)

.

Pretend a lecture, lesson, or a training session is moving right along. Then the professor, teacher, or trainer says:

  • “Heh Smart Classroom, Begin Main Point.”
  • Then speaks one of the main points.
  • Then says, “Heh Smart Classroom, End Main Point.”

Like a verbal version of an HTML tag.

After the recording is done, the AI could locate and call out those “main points” — and create a table of contents for that lecture, lesson, training session, or presentation.

(Alternatively, one could insert a chime/bell/some other sound that the AI scans through later to build the table of contents.)

In the digital realm — say when recording something via Zoom, Cisco Webex, Teams, or another application — the same thing could apply. 

Wouldn’t this be great for quickly scanning podcasts for the main points? Or for quickly scanning presentations and webinars for the main points?

Anyway, interesting times lie ahead!

 

 

The Year TV Leaped Into The Future [Roettgers]

The Year TV Leaped Into The Future [Roettgers]

The Year TV Leaped Into The Future — from protocol.com by Janko Roettgers

The lockdowns this year have transformed our homes into offices, schools, concert halls, movie theaters and gyms. Our homes are working harder for us, but so is our technology. The device that is working the hardest is perhaps the TV—becoming our lifeline to a far more virtual world.

Addendums:

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses — from edsurge.com by Dhawal Shah

Excerpt:

This was the year that more people learned what a MOOC is.

As millions suddenly found themselves with free time on their hands during the pandemic, many turned to online courses—especially, to free courses known as MOOCs, or Massive Open Online Courses. This phenomenon was compounded by media worldwide compiling lists of “free things to do during lockdown,” which tended to include MOOCs.

Within two months, Class Central had received over 10 million visits and sent over six million clicks to MOOC providers. These learners also turned out to be more engaged than usual. In April 2020, MOOC providers Coursera, edX and FutureLearn attracted as many new users in a single month as they did in the entirety of 2019.

.

From DSC:
The pieces continue to come together…

Learning from the living class room

...team-based content creation and delivery will dominate in the future (at least for the masses). It will offer engaging, personalized learning and the AI-based systems will be constantly scanning for the required/sought-after skills and competencies. The systems will then present a listing of items that will help people obtain those skills and competencies.

#AI #LearningProfiles #Cloud #LearningFromTheLivingClassRoom #LearningEcosystems #LearningSpaces #21stCentury #24x7x365 #Reinvent #Surviving #StayingRelevant #LifeLongLearning and many more tags/categories are applicable here.

 

Teaching with Amazon Alexa — from Sylvia Martinez

Excerpt:

Alexa is a voice-activated, cloud-based virtual assistant, similar to Siri on Apple devices, or Google Assistant. Alexa is an umbrella name for the cloud-based functionality that responds to verbal commands. Alexa uses artificial intelligence to answer questions or control smart devices, and has a range of “skills” — small programs that you can add to increase Alexa’s capabilities.

Many teachers are experimenting with using smart devices like Alexa in the classroom. Like most other Amazon features and products, Alexa is primarily designed for home use, anticipating that users will be household members. So in thinking about Alexa in a classroom, keeping this in mind will help determine the best educational uses.

Alexa is most often accessed in three ways…

 

Report: There’s More to Come for AI in Ed — from thejournal.com by Dian Schaffhauser

Excerpts:

The group came up with dozens of “opportunities” for AI in education, from extending what teachers can do to better understanding human learning:

  • Using virtual instructors to free up “personalization time” for classroom teachers;
  • Offloading the “cognitive load” of teaching;
  • Providing “job aids” for teachers;
  • Identifying the links between courses, credentials, degrees and skills;
  • “Revolutionizing” testing and assessment;
  • Creating new kinds of “systems of support”;
  • Helping with development of “teaching expertise”; and
  • Better understanding human learning through “modeling and building interfaces” in AI.

But contributors also offered just as many barriers to success:

  • Differences in the way teachers teach would require “different job aids”;
  • Teachers would fear losing their jobs;
  • Data privacy concerns;
  • Bias worries;
  • Dealing with unrealistic expectations and fears about AI pushed in “popular culture”;
  • Lack of diversity in gender, ethnicity and culture in AI projects; and
  • Smart use of data would require more teacher training.
 

The Dice Q3 Tech Job Report Tech Hiring and COVID-19: What You Need to Know

The Dice Q3 Tech Job Report: Tech Hiring and COVID-19: What You Need to Know — from techhub.dice.com
The report, issued quarterly by Dice, provides exclusive statistics and analysis on the tech hiring landscape, including top cities and states, top employers and the most sought-after skills and occupations.

From DSC:
One can quickly see how valuable this information would be as a data feed into an AI-based, next-generation learning platform.

The platform would connect the marketable skills with the courses, websites, blogs, RSS feeds/streams of content, etc. that would help a learner quickly and affordably build such in-demand skills. Given the shortening half-lives of many kinds of information, such a service is needed desperately…especially now with the impact of the Coronavirus.

Also relevant: See how ISTE built its upcoming virtual event!

 

Temperament-Inclusive Pedagogy: Helping Introverted and Extraverted Students Thrive in a Changing Educational Landscape — from onlinelearningconsortium.org by Mary R. Fry

Excerpt (emphasis DSC):

So how do we take these different approaches to learning into account and foster a classroom environment that is more inclusive of the needs of both extraverts and introverts? Let’s first distinguish between how extraverts and introverts most prefer to learn, and then discuss ways to meet the needs of both. Extraverts tend to learn through active and social engagement with the material (group work, interactive learning experiences, performing and discussing). Verbalizing typically helps extraverts to think through their ideas and to foster new ones. They often think quickly on their feet and welcome working in large groups. It can be challenging for extraverts to generate ideas in isolation (talking through ideas is often needed) and thus working on solitary projects and writing can be challenging.

In contrast, introverts thrive with solitary/independent work and typically need this time to sort through what they are learning before they can formulate their thoughts and articulate their perspectives. Introverted learners often dislike group work (or at least the group sizes and structures that are often used in the classroom (more on this in a moment)) and find their voice drowned out in synchronous discussions as they don’t typically think as fast as their extroverted counterparts and don’t often speak until they feel they have something carefully thought out to share. Introverted learners are often quite content, and can remain attentive, through longer lectures and presentations and prefer engaging with the material in a more interactive way only after a pause or break.

From DSC:
Could/would a next-generation learning platform that has some Artificial Intelligence (AI) features baked into it — working in conjunction with a cloud-based learner profile — be of assistance here?

That is, maybe a learner could self-select the type of learning that they are: introverted or extroverted. Or perhaps they could use a sliding scaled to mix learning activities up to a certain degree. Or perhaps if one wasn’t sure of their preferences, they could ask the AI-backed system to scan for how much time they spent doing learning activities X, Y, and Z versus learning activities A, B, and C…then AI could offer up activities that meet a learner’s preferences.

(By the way, I love the idea of the “think-ink-pair-share” — to address both extroverted and introverted learners. This can be done digitally/virtually as well as in a face-to-face setting.)

All of this would further assist in helping build an enjoyment of learning. And wouldn’t that be nice? Now that we all need to learn for 40, 50, 60, 70, or even 80 years of our lives?

The 60-Year Curriculum: A Strategic Response to a Crisis

 

 

From DSC:
Along these lines…

Sometimes, I think we need to be very careful with Artificial Intelligence (#AI) — which elements of it and which applications of it that we use in our society and which we don’t move forward with. But in the case of cloud-based learning profiles (some might say competency profiles), AI makes sense. Algorithms could make sense. Data mining could make sense.

A cloud-based learning profile might not make sense always to us — as it could be very large indeed. But AI-based algorithms could assist with finding appropriate matches between jobs, competencies, passions, skills, and candidates.

Such services will likely be part of a next-gen learning platform.

 

[Re: online-based learning] The Ford Model T from 1910 didn’t start out looking like a Maserati Gran Turismo from 2021! [Christian]

From DSC:
Per Wikipedia, this is a 1910 Model T that was photographed in Salt Lake City:

The Ford Model T didn't start out looking like a Maserati from 2021!

 

This is what online/virtual learning looks like further down the road. Our journey has just begun.

From DSC:
The Ford Model T didn’t start out looking like a Maserati Gran Turismo from 2021! Inventions take time to develop…to be improved…for new and further innovations and experiments to take place.

Thinking of this in terms of online-based learning, please don’t think we’ve reached the end of the road for online-based learning. 

The truth is, we’ve barely begun our journey.

 


Two last thoughts here


1 ) It took *teams* of people to get us to the point of producing a Maserati like this. It will take *teams* of people to produce the Maserati of online-based learning.

2) In terms of online-based learning, it’s hard to say how close to the Maserati that we have come because I/we don’t know how far things will go. But this I do know: We have come a looooonnnnnggggg ways from the late 1990s! If that’s what happened in the last 20 years — with many denying the value of online-based learning — what might the next 5, 10, or 20 years look like when further interest, needs, investments, etc. are added? Then add to all of that the momentum from emerging technologies like 5G, Augmented Reality, Mixed Reality, Virtual Reality, Artificial Intelligence, bots, algorithms, and more!


From DSC:
To drive the point home, here’s an addendum on late 9/29/20:

Mercedes-Benz Shares Video of Avatar Electric Car Prototype

 

DC: You want to talk about learning ecosystems?!!? Check out the scopes included in this landscape from HolonIQ!

You want to talk about learning ecosystems?!!? Check this landscape out from HolonIQ!

Also see:

Education in 2030 -- a $10T market -- from HolonIQ.com

From DSC:
If this isn’t mind-blowing, I don’t know what is! Some serious morphing lies ahead of us!

 

Today’s awkward Zoom classes could bring a new era of higher education — from edsurge.com by Debra Spar

Excerpt:

Indeed, the forced march to Zoom has also forced colleges and universities to wrestle at last with the incipient promise of educational technologies; with the power that was evident, if not yet realized, in the early MOOCs. Much of that power has to do with scale–the ability to take a single course, even a single lecture, and share it across a vast universe of learners. But some also comes from the strange intimacy of the small screen, and from the possibilities of collapsing both time and space.

Office hours, for instance, migrate easily. Bringing in guest speakers works remarkably well, allowing faculty to introduce a wide range of voices into their classroom conversations. On the screen, everyone can see and hear and participate. 

 

Learning from the Living [Class] Room

 

From DSC:
Yet another example of the changes occurring in the learning ecosystems out there.

COVID-19 Fuels Big Enrollment Increases in Virtual Schools — from edweek.org by Mark Lieberman

Excerpt:

Florida Virtual School’s enrollment is up 54 percent year over year for its individual online course offerings and 64 percent for full-time programs. Public schools’ online programs managed by the for-profit provider K12 Inc. have grown from 122,000 enrollments in fall 2019 to 170,000 a year later. Applications to Connections Academy, a virtual school provider owned by Pearson, are up 61 percent.

The Pennsylvania Cyber Charter School filled up months before it usually starts receiving the bulk of new applicants. An Oklahoma virtual charter school earlier this summer was enrolling 1,000 students a day. Enrollment in virtual schools is also up in ConnecticutOhio, and Wisconsin.

 
© 2024 | Daniel Christian