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The Coming Golden Age of Open Educational Simulations — from Mike Caulfield

From DSC:
Thanks Mike for sharing this information, these lessons and reflections. Although your posting stopped me in my tracks, it was good to reflect upon. It made me wonder about such things as…

  • If we could get a billion from the fortunes that Gates, Buffett, and other billionaires are donating, could we create open learning objects/courses and make them available worldwide? Or would that not work?
  • Were you all ahead of your time?
  • Where does this leave us? That is, is it a wise goal to create interactive, professionally-done, engaging, multimedia-based applications? If so, under what conditions?
  • If we pursue this goal, who and how should we do it?
  • If open source models are followed, should we move towards the use of consortiums to create the learning objects? i.e. to spread out the development costs?
  • What would you say to instructional designers if they are following similar endeavors/efforts? How can one know all of the context that speaks to each individual taking the course?
  • Will “The Reusability Paradox” be a show-stopper for us?
  • What should our strategy and vision be?
  • Or did I miss the whole point here?!

Online Learning: An opportunity to transform public education in Georgia — from talkgwinnett.net by Michael Horn [via Ray Schroeder]

From DSC:
Below are some excerpts that caught my eye:

Nationwide, online learning is booming. A decade ago, fewer than 50,000 K-12 students took an online course; today more than 3 million students do, and the growth of online learning is accelerating. Twenty-seven percent of high school students report taking at least one online course in 2009.

Increasingly, students are enrolling in blended or hybrid arrangements, where they learn at least in part at a supervised brick-and-mortar location away from home and at least in part through online delivery.

Change in education is gradual, yet happening much faster than one might expect.

The final direction is still unknown, but one hypothesis is that there will be, broadly speaking, three different roles for teachers of the future:

  • Master teachers who are content experts and can answer content-specific questions.
  • Coaches whose job it is to mentor and motivate students to stay on task and work with them to find solutions for their individual problems when they are stuck.
  • Case workers who work with children who have problems nonacademic in nature.

Expect many teachers to spend less day-to-day time on lesson planning, delivering one-size-fits-none lectures and classroom management.

Teachers already in online environments are reporting that, by and large, they get to know each student far better than they ever did or could in a traditional classroom environment.

Elliott Masie launches LearningTalks – Free Video Talks on Learning

We are pleased to announce the launch of LearningTalks – a series of short, free, video interviews on learning.  This project of The MASIE Center is modeled after the valuable TED Talks, and begins with the release of over 40 segments from Learning 2010. There are interviews with Apolo Ohno, Marshall Goldsmith, Learning Leaders from JCPenny, Yum! Brands, CNN and Peace Corps and many more.

These 3 to 9 minute learning segments are now live at:
LearningTalks – http://www.learningtalks.com

.

Learning Talks from Elliot Masie

The Pivot to Digital Learning: 40 Predictions — from Tom Vander Ark, Partner, Revolution Learning — via EdNet Insights

From DSC:
That posting includes predictions for changes that we’ll see in the next 1, 5 and 10 years…with some excerpts below:

3. Lingering budget woes will cause several districts and charter networks, particularly in California, to flip to a blended model, with a shift to online or computer-based instruction for a portion of the day to boost learning and operating productivity.

9. The instant feedback from content-embedded assessment, especially learning games, simulations, virtual environments, and MMOs (massively multiplayer online games), will be widely used in formal and informal learning and will build persistence and time on task.

10. Adaptive content will result in more time on task (in some cases, two times the productive learning time over the course of a year), and better targeted learning experiences will boost achievement, particularly among low-income and minority students.

11. Comprehensive learner profiles will gather keystroke data from learning platforms, content-embedded applications, as well as after-school, summer school, tutoring, and test prep providers. Students and families will manage privacy using Facebook-like profiles.

12. Most learning platforms will feature a smart recommendation engine, like iTunes Genius, that will build recommended learning playlists for students.

18. All U.S. students will have access to online courses for Advanced Placement, high-level STEM courses, and any foreign language (this should happen next year, but it will take us five years to get out of our own way).

23. Second-generation online learning will replace courseware with adaptive components in a digital content library (objects, lessons, units, and sequences).

27. Most high school students will do most of their learning online and will attend a blended school.

28. More than one-third of all learning professionals will be in roles that do not exist today; more than 10% will be in organizations that do not exist today.

29. The higher ed funding bubble will burst, and free and low-cost higher education alternatives will displace a significant portion of third tier higher education (emphasis DSC).

37. There will be several DIY High options—online high schools with an engaging and intuitive merit badge sequence that will allow students to take ownership of and direct their own learning. They will still benefit from adult assessment, guidance, and mentorship but in a more student-directed fashion.

Global Education Conference -- free, online, begins 11/15

From DSC:
Below are some notes and reflections after reading Visions 2020.2:  Student Views on Transforming Education and Training Through Advanced Technologies — by the U.S. Department of Commerce, U.S. Department of Education, and NetDay

Basic Themes

  • Digital Devices
  • Access to Computers and the Internet
  • Intelligent Tutor/Helper
  • Ways to Learn and Complete School Work Using Technology

Several recurring words jumped off the page at me, including:

  • Voice activation
  • A rugged, mobile, lightweight, all-convergent communications and entertainment device
  • Online classes
  • Interactive textbooks
  • Educational games
  • 3D virtual history enactments — take me there / time machine
  • Intelligent tutors
  • Wireless
  • 24x7x365 access
  • Easy to use
  • Digital platforms for collaborating and working with others on schoolwork/homework
  • Personalized, optimized learning for each student
  • Immersive environments
  • Augmented reality
  • Interactive
  • Multimedia
  • Virtual
  • Simulations
  • Digital diagnostics (i.e. analytics)
  • Wireless videoconferencing

Here are some quotes:

Math and reading were often cited specifically as subjects that might benefit from the use of learning technologies. (p. 5)

No concept drew greater interest from the student responders than some sort of an intelligent tutor/helper. Math was the most often mentioned subject for which tutoring help was needed. Many students desired such a tutor or helper for use in school and at home. (p. 17)

…tools, tutors, and other specialists to make it possible to continuously adjust the pace, nature and style of the learning process. (p.27)

So many automated processes have been built in for them: inquiry style, learning style, personalized activity selection, multimedia preferences, physical requirements, and favorite hardware devices. If the student is in research mode, natural dialogue inquiry and social filtering tools configure a working environment for asking questions and validating hypotheses. If students like rich multimedia and are working in astronomy, they automatically are connected to the Sky Server which accesses all the telescopic pictures of the stars, introduces an on-line expert talking about the individual constellations, and pulls up a chatting environment with other students who are looking at the same environment. (p.28)

— Randy Hinrichs | Research Manager for Learning Science and Technology | Microsoft Research Group

From DSC:
As I was thinking about the section on the intelligent tutor/helper…I thought, “You know…this isn’t just for educators. Pastors and youth group leaders out there should take note of what students were asking for here.”

  • Help, I need somebody
  • Help me with ____
  • Many students expressed interest in an “answer machine,” through which a student could pose a specific question and the machine would respond with an answer. <– I thought of online, Christian-based mentors here, available 24x7x365 to help folks along with their spiritual journeys


I posted this a while back on my archived website, but I was looking at the topic of augmented reality again, and wanted to post this (quasi) “oldie but goodie”! (As if something posted in the last year or two can now be old…man o’ man…)

Augmented Reality - The Future of Education ( Ara Pacis ) - HD version

Emerging Interactive Ed. Tech: Classmate Assist and Wayang Outpost – Sensors, AI, and Context Awareness for Learning -and Teaching — by Lynn Marentette (emphasis below from DSC)

I’ve been following developments in intelligent tutoring systems for a while, and find it interesting to see how researchers are combining artificial intelligence, learning theory, affective computing, and sensor networks to create applications that might prove to be useful and effective.

The advantage of using intelligent tutoring applications in some cases is that it provides students with additional support and feedback the moment it is needed, something that is difficult for teachers to provide to students in large classrooms. With the increase in use of smartphones and other mobile devices such as the iPad, there is a good chance that this sort of technology will be used to support learning anywhere, anytime.

Although most intelligent tutoring systems are geared for 1-1 computing, I think there are some components that could be tweaked and then transfered to create intelligent “tutoring” systems for collaborative learning. Students like game-based learning, and what could be more fun than playing AND learning with a partner or group of peers? (I plan to revisit the research in this area in an upcoming post.)

Below I’ve highlighted two “intelligent” tutoring systems that incorporate the use of sensors in one form or another to generate information about student learning in a way that simulates what good teachers do every day. The ClassroomAssist application was developed by researchers at Intel, in collaboration with several universities. The Wayang Outpost application was developed by researchers at UMASS, and is aligned with the principles of Universal Design for Learning.

The thinking LMS — from InsideHigherEd.com by — Steve Kolowich

If Facebook can use analytics to revolutionize advertising in the Web era, McQuaig suggested, colleges can use the same principles to revolutionize online learning.

The trick, she said, is individualization. Facebook lets users customize their experiences with the site by creating profiles and curating the flow of information coming through their “news feeds.” In the same motion, the users volunteer loads of information about themselves.

Unlike analog forms of student profiling — such as surveys, which are only as effective as the students’ ability to diagnose their own learning needs — Phoenix’s Learning Genome Project will be designed to infer details about students from how they behave in the online classroom, McQuaig said. If students grasp content more quickly when they learn it from a video than when they have to read a text, the system will feed them more videos. If a student is bad at interpreting graphs, the system will recognize that and present information accordingly — or connect the student with another Phoenix student who is better at graph-reading. The idea is to take the model of personal attention now only possible in the smallest classrooms and with the most responsive professors, make it even more perceptive and precise, and scale it to the largest student body in higher education.

“[Each student] comes to us with a set of learning modality preferences,” McQuaig said. The online learning platform Phoenix wants to build, she said, “reject[s] the one-size-fits-all model of presenting content online.” In the age of online education and the personal Web, the standardized curriculum is marked for extinction, McQuaig said; data analytics are going to kill it.

© 2025 | Daniel Christian