Holograms? Check! Now what? — from blog.webex.com by Elizabeth Bieniek

Excerpt (emphasis DSC):

Two years ago, I wrote about the Future of Meetings in 2030 and hinted at an effort my team was building to make this a reality. Now, we have publicly unveiled Webex Hologram and brought the reality of a real-time, end-to-end holographic meeting solution to life.

With Webex Hologram, you can feel co-located with a colleague who is thousands of miles away. You can share real objects in incredible multi-dimensional detail and collaborate on 3D content to show perspective, share, and approve design changes in real-time, all from the comfort of your home workspace.

As the hype dies down, the focus on entirely virtual experiences in fanciful environments will abate and a resurgence in focus on augmented experiences—interjecting virtual content into the physical world around you for an enhanced experience that blends the best of physical and virtual—will emerge.

The ability to have curated information at one’s fingertips, still holds an incredible value prop that has yet to be realized. Applying AI to predict, find, and present this type of augmented information in both 2D and 3D formats will become incredibly useful. 

From DSC:
As I think of some of the categories that this posting about establishing a new kind of co-presence relates to, there are many relevant ones:

  • 21st century
  • 24x7x365
  • 3D
  • Audio/Visual (A/V)
  • Artificial Intelligence (AI)
  • Cloud-based
  • Collaboration/web-based collaboration
  • Intelligent tutoring
  • Law schools, legal, government
  • Learning, learning agents, learning ecosystems, Learning from the Living [Class] Room, learning spaces/hubs/pods
  • Libraries/librarians
  • K-12, higher education, corporate training
  • Metaverse
  • Online learning
  • Telelegal, telemedicine
  • Videoconferencing
  • Virtual courts, virtual tutoring, virtual field trips
  • Web3
 

Technology We Need: Documenting the complete Learner Record — from gettingsmart.com by Nate McClennen and Rebecca Midles

Key Points

  • Most innovative schools and a number of states have built Graduate Profiles/Learner Profiles and a handful have created K12 competency progressions that articulate pathways towards meeting the profile.
  • These learning organizations are using a learning management system (LMS) that does not accommodate comprehensive Learner Records, does not capture or report transparent growth to learners or their families and does not capture out-of-course learning experiences.
  • We issue a challenge to those building and creating solutions.

From DSC:
The above posting reminds me of the following graphic:


 

Five Building Blocks in the New Architecture of High Schools — from gettingsmart.com by Tom Vander Ark

Key Points

  • Schools personalizing learning and moving to mastery often use five linked learner experience systems to promote growth on learning goals.
  • Each system has unique learner experiences, feedback protocols, supports and staffing strategies.
  • These systems work independently and together to promote learner-centered growth toward shared outcomes.

Schools personalizing learning and moving to mastery or competency-based learning models often use five linked learner experience systems to promote growth on learning goals: skill-building, projects, immersion, advisory, and out-of-school learning. Each system has unique learner experiences, feedback protocols, supports and staffing strategies. These systems work independently and together to promote learner-centered growth toward shared outcomes (i.e., learner profile or portrait of a graduate).

 
 

Resource via @ernperez
at this article/page.

From DSC:

Cloud-based learner profiles are a likely element of our future learning ecosystems

 

14 Predictions for Higher Education in 2022 [Schaffhauser]

14 Predictions for Higher Education in 2022

14 Predictions for Higher Education in 2022 — from campustechnology.com by Dian Schaffhauser

Excerpt:

Ask people working in higher education what they expect will happen in the new year, and the outlook is filled with visions that build on what we’ve been experiencing on college and university campuses for the last two years: a major focus on learning formats; continued exploitation of new technology; and the use of new digital models that move users “beyond Zoom.” Here we present the collective predictions of 14 IT leaders, instructional folks and a student about what they anticipate seeing in 2022. As one put it, “Let’s go, 2022! We have work to do!”

From DSC:
I’d like to thank Dian Schaffhauser, Rhea Kelly, and Mary Grush for letting me contribute some thoughts to the various conversations that Campus Technology Magazine hosts and/or initiates. I inserted some reflections into the above article and I hope that you’ll take a moment to read my and others’ thoughts out there.

 
 
 

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.

 
© 2024 | Daniel Christian