Behavior Learning Engine from netuitive.com
.


Along these lines, check out:
‘Jeopardy’ champs take on IBM’s Watson

“This is huge; this isn’t just about answering questions,” says computational linguistics expert George Luger of the University of New Mexico in Albuquerque, who was not part of IBM’s team. “Everything before this was just a run-up to computers as true personal assistants.”


10 ways technology supports 21st century learners in being self directed — from the Innovative Educator

  1. Personal Learning Networks
  2. Tweet to Connect with Experts
  3. Skype an Expert
  4. Free Online Educational Resources
  5. Online Learning
  6. Authentic Publishing
  7. Use YouTube and iTunes to Learn Anything
  8. Passion (or talent) Profiles
  9. Develop Authentic Learning Portfolios
  10. Empower Students to Assess and Learn Themselves

Smartphones as Cognitive Prosthetics — from insidedigitalmedia.com by Phil Leigh

From DSC:
Watch the Digimarc Discover video below — then think about how this might apply to anytime, anywhere learning!!! Wow!

Enable your phone to see and hear with Digimarc Discover; recognize all forms of media in your surroundings to enrich and simplify your life..

Digimarc Discover

2011 Market Trends: Brain Candy — from sparxoo.com by Ethan Lyon

Innovative companies are leveraging augmented reality to teach astronomy, combining food with learning, developing adaptive algorithms that understand individual learning preferences and expanding upon Mrs. Frizzle’s Magic Schoolbus. New education initiatives are helping children, high-schoolers, college students and graduates learn in ways that are most conducive their individual learning patterns. It’s about injecting creativity into education, whether manifested in technology or more traditional, person-to-person environments.

Georgia Tech Center to explore 21st century universities — from CampusTechnology.com by Dian Schaffhauser

The Georgia Institute of Technology is setting up a new center specifically to serve as a living laboratory for testing new forms of education. Driven by the growth of social networking, online learning, and other developments, the Center for 21st Century Universities will enable faculty at the Atlanta institution to experiment with new approaches to curriculum and its delivery. According to former College of Computing Dean Rich DeMillo, who will lead the center, it will also work with national and international groups involved in higher education reform. The first item on the center’s agenda is to develop a seed grant program for promising early proposals.

ALA 2011: Adaptive and Learning Agents Workshop held at AAMAS 2011 — from Intelligent Systems

Adaptive and Learning Agents, particularly those in a multi-agent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology.

The Ultimate Study Guide: Wolfram Alpha Launches “Course Assistant” Apps — from ReadWriteWeb by Audrey Watters

The computational knowledge engine Wolfram|Alpha is launching the first three of a series of new “course assistant” apps today. These apps, available for iPhone, iPod Touch, and iPad, are designed to take advantage of the Wolfram|Alpha technology in the service of supporting some of the most popular courses in high school and college.

The idea is to be able to quickly access the pertinent capabilities of Wolfram|Alpha relevant for specific subject areas. Currently, these subject areas are Algebra, Calculus, and Music Theory. But the company says it plans to add apps for other subjects – “for every major course, from elementary school to graduate school,” – including those fields outside math and science.

From DSC:
Notice the term engine (in bold maroon above).
This is the type of sophisticated programming that will increasingly be baked into future learning products — as the software seeks to learn more about each learner while providing each learner with a more customized learning experience…pushing them, but aiming to encourage — not discourage — them. I can see an opt-in program where each of us can build a cloud/web-based learner profile — and allow such an engine to be “fed” that data.



Is the Google-fication of education underway? — from cnnmoney.com by Scott Olster (emphasis below from DSC)
Among tablets and 3D TVs at CES, one-size-fits-all learning is facing a digital death knell.

Excerpt:

Similar to the way that Google collects data based on its users’ search patterns, Knewton collects data from every student that has taken one of its courses and uses it to improve its courses. Eduational content that achieves better student results will then be ranked higher in the system and be used more often. Ideally, the system becomes smarter and better over time.

“It’s like a giant recommendation engine on steroids,” says Ferreira.

The data that the company collects could potentially prove useful to educational researchers.

“We’re still trying to map out the way people learn. Collecting more data rather than looking at course grades is a welcome change,” says Miller.


Towards a new-digital learning ecosystem based on autonomic Web services — from IEEEXplore Digital Library (emphasis below from DSC)

Abstract
With the latest advances in information and communication technologies, learners can now engage in continuous and rich learning-sessions that characterize today’s digital learning ecosystems. In these ecosystems, learning resources are pervasive and dynamic. A key challenge is to develop a scalable learning system that addresses the inherent complexity of learning sessions and cater for the specific needs and requirements of individual learners. In this paper, we adopt autonomic Web services to capture disparate learning resources and build an autonomic digital learning ecosystem that reconfigures itself in response to changes in the environment such as learners’ profiles, resource availabilities, and type of instructional material. The use of autonomic Web services permits to abstract the learning resources into distributed and uniformly structured objects and to record learners’ attributes into a packaged profile. These Web services sense the learning context and coach learners in their pursuit of constructive instructional sessions. A service-oriented architecture is proposed to connect learning resources, learners’ profiles, and contextual indicators. A prototype is, also, illustrated in the paper to show the feasibility of the proposed solutions.

Also see:

Test-prep company Knewton takes online courses to next level: university — from VentureBeat.com by Matt Bowman

.

Knewton, a company that provides personalized help to boost scores on tests such as the GMAT, is taking online education to the next level: It will now power actual university math programs for Arizona State University (ASU) students.

The announcement marks a shift for the New York based startup company, which to date had only provided test-prep programs. ASU’s decision to use online, instructorless remedial education raises the question of just how much new technologies could disrupt the traditional university model.

ASU students who score below a certain threshold on the math portions of a preliminary assessment will be required to use the Knewton-powered adaptive-learning program. The web-based program will generate homework assignments based on each student’s individual proficiency levels and learning styles, and adapts as students score better in a certain type of problem. Based on the data from the online program, ASU will also provide virtual and in-person tutoring. Once students demonstrate college readiness in mathematics, they will advance into ASU instructor-led math courses. The university hopes this will boost retention and graduation rates.

The world is my school: Welcome to the era of personalized learning — from the January/February issue of The Futurist by Maria H. Andersen — with special thanks to Paul Simbeck Hampson for this item

“Future learning will become both more social and more personal, says an educational technology expert.”

eLearning predictions for 2011 and beyond — from Web Courseworks.com by Jon Aleckson

Excerpts:

This summer I attended the 2010 Distance Teaching and Learning Conference in Madison, Wisconsin. Some very interesting topics came up in the facilitated Think Tanks, and I wanted to share some of the predictions that were developed from these active group discussions regarding where eLearning will go in the next ten years.

Below you will find a table that summarizes the different opportunities and challenges that were predicted to arise in the next ten years by the participants in the conference Think Tanks and by [Jon Aleckson].

Opportunities Challenges
Learner
  1. Bridging informal and formal education
  2. Movement between schools to obtain courses needed for custom degrees
  3. Increase in shared knowledge among students and learners
  4. Networking and learning from each other
  5. Resumes will include informal and formal learning experiences acquired via the Internet
  1. Developing standards to gauge education and competency from multiple sources
  2. Providing an authoritative, reliable source for information (e.g. not just Wikipedia)
  3. Physical and psychological distance from other learners and instructors.
  4. Quality measures for informal and formal professional development attained on the Internet.
K-12 Instruction
  1. Reducing barriers to funding, certification, credit and accreditation
  2. Increase access to quality education for all students
  3. Open “course” concept to new blends of delivery and teaching
  4. Providing for more game-based learning experiences and techniques for a variety of learning styles
  5. Using new technology in the classroom
  1. Defining online and blended education
  2. Development of technical infrastructure, internet access and equipment
  3. Maintaining the custodial function of school
  4. Acquiring funding for bold Internet delivered experiences for the classroom
  5. Allowing use of new technology in the classroom
Corporate Training
  1. Just-in-time learning
  2. Greater access to information
  3. Peer coaching
  4. Cloud training
  5. Ability to reach those previously unreachable
  1. Intellectual property rights
  2. Resistance to using open content
  3. Peer review of resources
  4. Unknown impact of open universities
  5. Technical challenges related to size of offerings and rapidly changing technology
Content
  1. Tools allowing for easier collaboration and interaction
  2. Richer media experience (videos and simulations)
  3. Content repositories & Learning Object distribution and searchability
  4. Movement away from static textbooks as primary resource
  1. Growing tension between standard core content and differentiation of content
  2. Where will content for curriculum come from?
  3. What part will student-generated content play?
  4. More copyright issues
Learning Environment
  1. Customized learning spaces, i.e. personal learning environments (PLEs)
  2. Customization of content presentation and access
  3. eReaders and eBooks providing better and more interactive content (just in time)
  4. Changing paradigm of “bounded courses” to unbounded courses where learning is a continuous process that can occur anywhere and at any time
  1. Determining fit and purpose of new tools and pedagogical approaches
  2. Standards for smart phones/mobile apps
  3. Issues with accreditation, privacy and copyrights
  4. Universal access to technology, equipment, and the internet
Faculty
  1. More involvement and collaboration with online and distance learning initiatives
  2. More part-time faculty teaching for several institutions
  3. Faculty practices and entrepreneurs
  4. Changing role of faculty and PD instructors
  1. What will the primary role of faculty be?
  2. Faculty segmentation into master teachers, mentors, researchers, tutors, etc.
  3. Changing of promotion and tenure to accommodate different roles
  4. Changing pay structure
Administration
&
Management
  1. Continued growth of open education with some program stabilization
  2. Improved learner focus
  3. Increased blending/blurring of traditional on-campus with online options
  4. More collaboration with other administrators to influence policy makers
  1. Managing and maintaining growth
  2. How to blend on and off campus learner programs
  3. Regulatory and accreditation issues
  4. Student accountability issues (plagiarism/doctoring)
  5. Improving faculty/ instructor readiness
International Perspectives
  1. Providing access to education even to remote, rural, and developing areas
  2. Promote intercultural mixing and diversity through education
  3. Improving educational access in segregated societies
  4. Sharing resources and co-producing content to reduce cost
  5. Serve new growing customer groups
  6. Informal learning, sharing own learning with others via internet (e.g. blogs, wiki)
  1. Technological infrastructure of societies
  2. Understanding of different people and places
  3. Eliminating the “we and they” thinking
  4. Illiterate audiences
  5. International/cultural conflicts
  6. Developing culturally aware curricula
  7. Differences in cost of education and fees
  8. Selecting suitable types of content delivery
  9. Refiguring content for different learner communities

Top 10 Ed Tech predictions for 2011– from ZDNet.com by Christopher Dawson; featuring insights from Adam Garry, Dell’s manager of global professional learning

  • “1:1 should be a learning initiative instead of a tech initiative”
  • Personalized learning instead of differentiated instruction
  • Product-based assessments
  • Increased focus on conceptual learning
  • The evolution of 1:1 – Different access models

Table of Contents

Executive Summary
Introduction
Building a Knowledge-Based Society
The Needs of a Knowledge-Based Society
Case Study: Finland
Vision of Education for the 21st Century
Case Study: Singapore
How Would the System Function?
Case Study: China
Shifting Roles
Conclusion
Appendix A – Measuring 21st Century Skills
Numeracy and Mathematics
Reading Literacy
Creativity
ICT/Technological Literacy
Digital Literacy
Appendix B – Consultations & Acknowledgments
Appendix C – PTC Members & Staff
Bibliography

Some quotes:

From Learning Information to Learning to Learn:
The system must place greater emphasis on the learning of skills over the learning of content.

From Data to Discovery:
Content will have to evolve constantly, not only to remain relevant but so students are ready to deal with how rapidly information changes in a knowledge-based society.

From One Size Fits All to Tailored Learning:
As students progress they will increasingly access and engage with their own content, at their own pace of learning and take an increasing role in charting a path best suited to those talents, interests and abilities.

From Testing to Assess to Assessing to Learn:
Technology allows educators and students to assess progress more regularly than with traditional classroom assessments and to identify and address each student’s challenges as they arise. This is in contrast to tests and exams that measure what a student learned at the end of an instructional unit by which time it is often too late to address shortcomings.

From Classroom Learning to Lifelong Learning:
Lifelong learning can be encouraged by incorporating aspects of a student’s life outside of school into their education.

How would the system function?

  • A Blended System:
    The system would have a mixture of face-to-face classroom and online learning. It would also incorporate the immense range of learning opportunities outside the classroom. Some students would prefer a heavier emphasis on classroom learning while others may prefer the options of online learning. There has already been a strong uptake of online learning in BC.
  • Access to Learning Objects and Teaching Tools:
    Technology allows for better access to learning objects, teaching tools, and information. This is important for students, parents and teachers to collaborate in creating an individualised learning path that incorporates the information they need to know in more customised ways.
  • Open Access to Information Systems:
    Students need to be able to access information. Unfettered (but not unguided) access will allow them to learn and to teach themselves as they go forward. Furthermore, access to information will allow students to make informed decisions about their interests and understand the implications of new information for potential career decisions.
  • Constant Feedback and Assessment:
    While the system will be more flexible, there is a need for assessment based standards that will be higher in the future than they are today. Technology can provide new options for assessment and improving learning outcomes. In particular it allows for timely assessment so that students, parents and teachers can be informed during, not after, learning and in ways that allow for correction and celebration.

Flipboard.com

.

“Flipboard, named the iPad app of the year by Apple, displays information, pictures, updates, blurbs and videos from your Twitter and Facebook accounts in a beautifully designed, magazine-like format that you can flip through with the swipe of a finger.”

— from 10 Popular iPad Apps for 2011 [thestreet.com by Olivia Oran]

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