Artificial Virtual Assistants to grow in usage -- Gartner and Chatbots.org

 

From DSC:
Again, though this may be business/corporate-related news for now, learning-based apps may not be too far behind these sorts of innovations.

A hugely powerful vision: A potent addition to our learning ecosystems of the future

 

Daniel Christian:
A Vision of Our Future Learning Ecosystems


In the near future, as the computer, the television, the telephone (and more) continues to converge, we will most likely enjoy even more powerful capabilities to conveniently create and share our content as well as participate in a global learning ecosystem — whether that be from within our homes and/or from within our schools, colleges, universities and businesses throughout the world.

We will be teachers and students at the same time — even within the same hour — with online-based learning exchanges taking place all over the virtual and physical world.  Subject Matter Experts (SME’s) — in the form of online-based tutors, instructors, teachers, and professors — will be available on demand. Even more powerful/accurate/helpful learning engines will be involved behind the scenes in delivering up personalized, customized learning — available 24x7x365.  Cloud-based learner profiles may enter the equation as well.

The chances for creativity,  innovation, and entrepreneurship that are coming will be mind-blowing! What employers will be looking for — and where they can look for it — may change as well.

What we know today as the “television” will most likely play a significant role in this learning ecosystem of the future. But it won’t be like the TV we’ve come to know. It will be much more interactive and will be aware of who is using it — and what that person is interested in learning about. Technologies/applications like Apple’s AirPlay will become more standard, allowing a person to move from device to device without missing a  beat. Transmedia storytellers will thrive in this environment!

Much of the professionally done content will be created by teams of specialists, including the publishers of educational content, and the in-house teams of specialists within colleges, universities, and corporations around the globe. Perhaps consortiums of colleges/universities will each contribute some of the content — more readily accepting previous coursework that was delivered via their consortium’s membership.

An additional thought regarding higher education and K-12 and their Smart Classrooms/Spaces:
For input devices…
The “chalkboards” of the future may be transparent, or they may be on top of a drawing board-sized table or they may be tablet-based. But whatever form they take and whatever is displayed upon them, the ability to annotate will be there; with the resulting graphics saved and instantly distributed. (Eventually, we may get to voice-controlled Smart Classrooms, but we have a ways to go in that area…)

Below are some of the graphics that capture a bit of what I’m seeing in my mind…and in our futures.

Alternatively available as a PowerPoint Presentation (audio forthcoming in a future version)

 



 

 

 

 

 

 

 

 

 

 

 

 

— from Daniel S. Christian | April 2011

See also:

Addendum on 4-14-11:

 

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There's no time for baby steps -- Wireless Generation

Also see their information on Burst — for early literacy

and their estimate product launch dates:

 

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DreamBox Learning CEO to speak on adaptive learning at Arizona State University Education Innovation Summit – from

DreamBox Learning (http://www.dreambox.com), the leading adaptive learning company, today announced that its President and Chief Executive Officer, Jessie Woolley-Wilson, will speak at the Arizona State (ASU) Education Innovation Summit about the positive impact of intelligent adaptive technology in the classroom. The panel session — Is Farmville the Future of Learning?  Games, Social Platforms, Adaptive Technology – will be held on Wednesday, April 6 at 1:15 p.m. at SkySong, the ASU Innovation Center in Scottsdale. The full Education Innovation Summit runs from April 5-7.

“The ASU Education Innovation Summit provides a platform for education and technology trailblazers to come together in a think tank environment to share ideas about how to ensure that our kids, teachers and school administrators have the critical tools to achieve academic greatness,” said Jessie Woolley-Wilson, President and CEO of DreamBox Learning. “I’m very excited to join respected industry colleagues to discuss how intelligent adaptive learning technology, social platforms, and gaming principles are collectively having a transformative impact on our education system and future generations of learners.”

Ms. Woolley-Wilson will share insights on the evolving adaptive learning sector as well as showcase how DreamBox Learning’s intelligent adaptive learning platform is leading the transformation, helping kids at any skill level achieve math proficiency.

Zite.com -- your own personalized magazine

 

From DSC:
Interesting if this same concept could be applied towards developing a personalized digital textbook that a student could build over time…and be assessed up what they came up with. Also the student could take the personalized textbook with them. Cool.

 

Also see:

 

4/1/11 addendums:

From DSC:
In my mind, this area of intelligent systems and agents is one of the most important areas to watch in the years ahead.  Such efforts should help us develop sophisticated systems that can help deliver personalized, customized education at the K-12 and higher ed levels…and perhaps will be relevant in the L&D space as well.

The innovations that come from this area may make hybrid-based — as well as  100% online-based learning — incredibly powerful!

If someone can develop such systems and make them available at far cheaper prices than exist today, a quality “Walmart of Education” will truly have been built.


 IADIS International Conference: Intelligent Systems and Agents - in Rome, July 24-26, 2011

 

Per the Call for Papers section, the topics for this conference include, but are not limited to:

 

Area 1 – Intelligent Systems  

– Algorithms

– Artificial Intelligence

– Automation Systems and Control

– Bioinformatics

– Computational Intelligence

– Expert Systems

– Fuzzy Technologies and Systems

– Game and Decision Theories

– Intelligent Control Systems

– Intelligent Internet Systems

– Intelligent Software Systems

– Intelligent Systems

– Machine Learning

– Neural Networks

– Neurocomputers

– Optimization

– Parallel Computation

– Pattern Recognition

– Robotics and Autonomous Robots

– Signal Processing

– Systems Modelling

– Web Mining

 

 

 

 

Area 2 – Agents  

– Adaptive Agent Systems

– Agent Applications

– Agent Communication

– Agent Development

– Agent middleware

– Agent Models and Architectures

– Agent Ontologies

– Agent Oriented Systems and Engineering

– Agent Programming, Languages and Environments

– Agent Systems

– Agent Technologies

– Agent Theories

– Agent Trends

– Agents Analysis and Design

– Agents and Learning

– Agents and Ubiquitous Computing

– Agents in Networks

– Agents Protocols and Standards

– Artificial Systems

– Computational Complexity

– eCommerce and Agents

– Embodied Agents

– Mobile Agents

– Multi-Agent Systems

– Negotiation Strategies

– Performance Issues

– Security, Privacy and Trust

– Semantic Grids

– Simulation

– Web Agents

 

 

MBA Curriculum Changes: Wharton, Yale, and Stanford Lead the Pack — from knewton.com by Christina Yu

Excerpt (citing article from a  U.S. News article):

“Rather than consider pre-digested summaries of company situations, students tackle ‘raw cases’ packed with original data. Instead of being presented with an income statement, for example, they must mine the considerably bulkier annual filing to the Securities and Exchange Commission for data. The raw cases ‘push us to understand,’ says second-year Yale student Jason Hill. ‘They purposely put in more material than you could ever look at, but you have to learn where to look.’” (emphasis DSC)

From DSC:
I found this to be a good, interesting post. I just had a couple of thoughts that I wanted to throw out there re: it.

In looking at trends from an 80,000-foot level, I’d vote for MBA programs integrating much more of the tech-know-how — and/or appreciation of what technologies can bring to the table — as well as teaching grad students about some of the tools/technologies that are emerging these days (and I’d bet that the leaders/schools mentioned in this article are already doing this) .

I remember an instructor years ago — at SFSU’s MSP Program — saying that bots and agents will be the key to making decisions in the future, as there will be too much information for a person to sift through. The streams of content need to be tapped — but in efficient ways. So perhaps the logical step here is for MBA students to learn what bots/agents are, how to use them, and what their applications might be in making business/strategic decisions.

The most successful organizations of the future will be well-versed in technologies and what the applications/benefits of these technologies are. My bet? If you don’t have a technologist at the power table of your organization, the outlook doesn’t look very bright for your organization in terms of surviving and thriving in the future. Organizations will also need to be willing to take risks and move forward without having a full cost-benefit analysis done — as many times these don’t work well or are not even possible when implementing tech-based endeavors/visions.

Also relevant here:

 

The connected life at home -- from Cisco

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From DSC:

How will these types of technologies affect what we can do with K-12 education/higher education/workplace training and development? I’d say they will open up a world of new applications and opportunities for those who are ready to innovate; and these types of technologies will move the “Forthcoming Walmart of Education” along.

Above item from:

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Computer ties human as they square off on ‘Jeopardy!’ — from CNN.com

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IBM's Watson computer is competing against former champs Ken Jennings, left, and Brad Rutter on "Jeopardy!" this week.

.From DSC:
To be clear, I celebrate what the LORD has created and given to us in our amazingly-complex minds! I do not subscribe to the idea that robots are better than humans or that technologies are to be glorified and that technologies will save the world — not at all. (In fact, I have some concerns about the havoc that could easily occur if certain technologies wound up in the wrong hands — with those who have no fear of the LORD and who have massive amounts of pride…with hearts of stone.)

Getting back to my point…
The phenomenon that Christensen, Horn, and Johnson describe in Disrupting Class continues to play out in higher education/K-12. The innovations are mainly happening outside the face-to-face T&L environments.

Also see:

Elementary, my dear Watson: Jeopardy computer offers insight into human cognition — from Sentient Developments by George Dvorsky

Also see:

  1. Massive parallelism:
    Exploit massive parallelism in the consideration of multiple interpretations and hypotheses.
  2. Many experts:
    Facilitate the integration, application and con-textual evaluation of a wide range of loosely coupled probabilistic question and content analytics.
  3. Pervasive confidence estimation:
    No single component commits to an answer; all components produce features and associated confidences, scoring different question and contentinterpretations. An underlying confidence processing substratelearns how to stack and combine the scores.
  4. Integrate shallow and deep knowledge:
    Balance the use of strict semantics and shallow semantics, leveraging many loosely formed ontologies.

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IBM's Watson -- incredible AI!

Semantic technologies and learning — from Steve Wheeler

Excerpt:

The January special issue of Interactive Learning Environments is out right now. Our guest editors have done a great job drawing together 5 excellent papers under the banner of ‘Semantic Technologies for Multimedia Enhanced Learning Environments’ and for Learning with ‘e’s readers, here is the editorial in full, with excellent summaries of all the papers by our special issue editors Marco Bertini, Vladan Devedzic, Dragan Gasevic and Carlo Torniai…

This special issue solicited papers focused on the use of semantic technologies in multimedia-enhanced learning environments. In this call, we were especially interested in publishing research reports and lessons learned in the following research tasks:

  • Ontologies and semantic annotations for multimedia learning objects.
  • Collaborative tagging and folksonomies for multimedia learning objects.
  • Semantic social networking in multimedia-based learning environments.
  • Semantic technologies for enabling pedagogical theories in multimedia-enhanced learning environments.
  • Semantic-enhanced learning designs in multimedia-enhanced learning.
  • Semantic technologies for personalization and adaptation of multimedia-enhanced learning.
  • Semantic-rich service-oriented architectures for multimedia learning environments.
  • Semantic multimedia content for (collaborative) mobile learning.

IEEE Transactions on Learning Technologies TLT is a scholarly archival journal published quarterly using a delayed open access publication model.

IEEE Transactions on Learning Technologies (TLT) is an archival journal published quarterly. TLT covers research on such topics as Innovative online learning systems, Intelligent tutors, Educational software applications and games, and Simulation systems for education and training.

The Web revolution, the popularity of on-line learning, and the broad availability of computers in schools, colleges, universities, workplaces and in other social settings has caused a qualitative change in the field of learning technologies. Both the variety and the complexity of e-learning tools have increased dramatically over the last 10 years. A number of new conferences emerged to provide a forum for researchers and practitioners in the field of learning technologies to discuss their work. Yet, there are very few journals, which embrace the field as a whole and provide a space to publish archival quality papers. The goal of IEEE Transactions on Learning Technologies (TLT) is to bridge this gap.TLT covers all advances in learning technologies, including but not limited to the following topics:

  • Innovative online learning systems
  • Intelligent tutors
  • Educational software applications and games
  • Simulation systems for education and training
  • Collaborative learning tools
  • Devices and interfaces for learning
  • Interactive techniques for learning
  • Personalized and adaptive learning systems
  • Tools for formative and summative assessment
  • Ontologies for learning systems
  • Standards and web services that support learning
  • Authoring tools for learning materials
  • Computer support for peer tutoring
  • Learning via discovery, field, and lab work
  • Learning with mobile devices
  • Social learning techniques
  • Social networks and infrastructures for learning and knowledge sharing
  • Creation and management of learning objects

IEEE Transactions on Learning Technologies
The IEEE Transactions on Learning Technologies will publish archival research papers and critical survey papers. Topics within the scope include technology advances in online learning systems; intelligent tutors; educational software applications and games; simulation systems for education and training; collaborative learning tools, devices and interfaces for learning; interactive techniques for learning; tools for formative and summative assessment; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring and learning via discovery or project work or field or lab work; and creation and management of learning objects. A paper must either describe original research or offer a critical review of the state of the art in a particular area. Papers concerned with evaluation of technology are only appropriate if the technology itself is novel or if significant technical insights are provided. In order to best serve the community, the TLT will be published online, using a delayed open-access policy under which paying subscribers and per-article purchasers have access to newly published content, and then 12 months after the publication of each issue, all readers will have access to the content, free of charge.

Commentary: Universities on the brink — from Forbes.com by Louis E. Lataif
The ever-increasing cost of education is not sustainable.

From DSC:
Regular readers of this Learning Ecosystems blog can point to numerous postings that illustrate that those of us in higher education are in a game-changing environment. Alternative methods of acquiring an education are springing up more frequently now — disruption is here. The status quo is a dangerous path to be on.

If…

  • learning engines hooked into web-based learner profiles occurs — ushering in an era of unprecedented customization/personalization of learning on demand…
  • web-based educations cost a small fraction of what you have to pay elsewhere…
  • the rates of tuition increases continue in colleges and universities across the land…
  • the Internet brings the level of disruption to higher education that it has brought to other industries…

…then what are our plans for remaining relevant and accessible? How are we planning to deal with these trends? What is our response(s)? What is our vision?

© 2025 | Daniel Christian