Personalized Learning Using AI — from datafloq.com by Dmitry Baraishuk

Excerpt:

Process of Implementing Personalized Learning Using AI

  • The system tested every learner using short quizzes and games. Then AI adapted the learning path to each learner’s knowledge of a topic based on the test results.
  • If a pilot struggled with a certain topic, the AI LMS repeated it by presenting the information in a new way.
  • After completing a section, every pilot was retested and progressed to the next module.

Personalized learning with AI encompasses all the core aspects of online training:

  • personalized learning path;
  • relevant content based on knowledge level, skills, interests, and goals;
  • automated knowledge checks;
  • prediction of knowledge gaps;
  • proactive learners’ support;
  • tutoring, etc.
 

There’s a New Wave of AI Research Coming to Transform Education — from edsurge.com by Nadia Tamez-Robledo

Preparing for Students’ Second Act
With a focus on adult learners, the AI Institute for Adult Learning and Online Education, or ALOE, will look to improve online education for the more than 100 million American workers who will need to “reskill” over the next 10 years.

It will also learn from the massive amounts of data generated by online students that isn’t accessible in traditional in-person classes.

 

What doors does this type of real-time translation feature open up for learning? [Christian]

From DSC:
For that matter, what does it open up for #JusticeTech? #Legaltech? #A2J? #Telehealth?

 

Learning from the living class room

 

Google CEO Still Insists AI Revolution Bigger Than Invention of Fire — from gizmodo.com by Matt Novak
Pichai suggests the internet and electricity are also small potatoes compared to AI.

Excerpt:

The artificial intelligence revolution is poised to be more “profound” than the invention of electricity, the internet, and even fire, according to Google CEO Sundar Pichai, who made the comments to BBC media editor Amol Rajan in a podcast interview that first went live on Sunday.

“The progress in artificial intelligence, we are still in very early stages, but I viewed it as the most profound technology that humanity will ever develop and work on, and we have to make sure we do it in a way that we can harness it to society’s benefit,” Pichai said.

“But I expect it to play a foundational role pretty much across every aspect of our lives. You know, be it health care, be it education, be it how we manufacture things and how we consume information. 

 

Learning technology lessons from the front lines — from chieflearningofficer.com by Neda Schlictman
Deloitte’s accelerated rollout of its global LXP during the initial onslaught of the pandemic yielded many lessons for the organization. Following are insights for those who are seeking what’s next for their learning strategies.

Excerpt (emphasis DSC):

More than 330,000 people at Deloitte, across 170 countries, have access to Cura, which aggregates learning content from both internal and external sources and personalizes learning based on the user’s defined skills and interests. Cura enables individual discovery of learning but also allows users to follow prescribed pathways as well as the opportunity to create content.

A cloud-based learner profile may definitely be part of our future learning ecosystems!

 

AI in education: Features already adopted by companies, universities, and schools — from belitsoft.com by Dmitry Baraishuk

Excerpt:

AI use cases in education include such kinds of applications as: Artificial Intelligence in training, learning and development, AI in higher education and Artificial Intelligence in K-12 education. We’ve gathered and outlined real-life examples of AI in education for each of these three application areas. If you’re an L&D or HR pro, you will find insightful the section “AI in talent management and in Learning and development.” College and university leaders will discover helpful tools to significantly improve their educational process in the section “AI in Higher Education.” For school leaders, we’ve prepared the section “Artificial intelligence in K-12 education.”

Screenshot of a software app showing what an interface might look like for creating a personalized learning journey for someone. You can select from industries, roles, employees, and more.

This screenshot of an app shows what type of skills-related information could be earned, tracked, gathered and displayed.

Addendum on 4/23/21:

 

GPT-3: We’re at the very beginning of a new app ecosystem — from venturebeat.com by Dattaraj Rao

From DSC: NLP=Natural Language Processing (i.e., think voice-driven interfaces/interactivity).

Excerpt:

Despite the hype, questions persist as to whether GPT-3 will be the bedrock upon which an NLP application ecosystem will rest or if newer, stronger NLP models with knock it off its throne. As enterprises begin to imagine and engineer NLP applications, here’s what they should know about GPT-3 and its potential ecosystem.

 

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.
 
© 2021 | Daniel Christian