eLearning Predictions 2015
JANUARY 14, 2015
The arrival of a new year means we have new eLearning predictions to reveal! In Before we unpack all five of our latest industry predictions, I want to take a moment to recap our past eLearning predictions from 2013 and 2014. What all that said, here are our eLearning predictions for 2015. Those are our eLearning predictions for 2015. Points of access change.
3 ELearning Predictions for 2016
JANUARY 26, 2016
Every year I like to venture into predictions of the elearning industry given the recent trends and technology that hit the scene. always find it interesting to look back a year later to see how these predictions came out. By way of example you can see my review of my 2015 elearning industry predictions here where I figure I was correct on about 1.5 out of 3. elearning
Top 10 eLearning Predictions 2011 #LCBQ
FEBRUARY 22, 2011
This month's LCBQ is What are your Predictions and Plans for 2011? Some Mobile Learning Predictions for 2011 Mobile learning will get its own identity. 10 Predictions for 2011: Trends that Will Reshape the Training Industry Total spending for training services will increase by an estimated 7-9%. My Predictions So with all of that as a lead up. Learning apps. Rovy F.
eLearning Predictions for 2011 and Beyond
DECEMBER 23, 2010
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. Open universities in Asia, for example, have over a ½ million students enrolled. 2011 distance education eLearning future mobile learning predictions
Workbook: Gamification and Your Enterprise Learning Strategy
within a classroom: examples that we’re all familiar with include flight simulators, or survival. predicted that by 2015, 40 percent of Global 1000 organizationsiii will use gamifi cation. Example 1: Toys”R”Us Canada identified rolling out their Omnichannel strategy to drive revenue by creating a seamless customer experience across all channels. Introduction.3 Conclusion.16
Top 9 e-Learning Predictions for 2014
JANUARY 18, 2014
We started 2013 with our observations and predictions on HTML5 in the context of e-learning. Here are our predictions for 2014: More tools adopting Tin Can API. Knewton Technology and Civitas Learning Platform were some interesting examples. We started the year with our predictions on ‘ Big Data in e-Learning ’. What are your eLearning predictions for 2014? HTML5.
Internet Time Alliance Predictions for 2013
JANUARY 7, 2013
The Principals of the Internet Time Alliance decided to take a collective look ahead to the new year, and share our predictions. Further, we’ll see more examples of the notion of a ‘performance ecosystem’ of resources aligned around individual needs and responsibilities, instead of organized around the providing silos. PredictionsClark Quinn. Harold Jarche. Jane Hart.
Top 10 eLearning Predictions for 2010
JANUARY 18, 2010
Before I start with any of my actual predictions, let me throw in an overall prediction that the year is going to start off slow for most people, but by the end of the year, we will all be thinking: “Wow, 2010 was a crazy year!” Some of my predictions are home runs and, well, sometimes I get things wrong. For example, Harold Jarche tells us 2010: Year of the CM.
ITA Predictions 2013
JANUARY 7, 2013
The Principals of the Internet Time Alliance decided to take a collective look ahead to the new year, and share our predictions. Further, we’ll see more examples of the notion of a ‘performance ecosystem’ of resources aligned around individual needs and responsibilities, instead of organized around the providing silos. We’ll also see more interactive and engaging examples of experience design, and yet such innovative approaches will continue to be reserved for the foresightful, while most will continue in the hidebound status quo. Clark Quinn. Harold Jarche. Jane Hart.
There’s Nothing Like Predicting your Learners’ Needs
MAY 18, 2016
Predictive learning is a system of machine-based learning that estimates changes in the environment, makes these changes in the virtual environment of the learning program, and allows employees to learn how to deal with the different environments. Predictive learning’s opposite is representational learning, showing things the way they actually area. Why did it happen? Learning trend
Year End Musings, Reflections, Predictions and Thoughts: Part Two
JANUARY 4, 2012
For an example of one such project, see Trickle Down Education: Taking Graduate Level Work to Sixth Graders. Out and About predictionThe Great Flood (Metaphor). In Bloomsburg, the year 2011 will always be known as the year of the big flood until, of course, we have another big flood. But this year’s flood was bad, the water covered over 25% of the town of Bloomsburg, houses were lost and people were wiped out. They lost everything. The university was closed for a week due to the flooding of the town. It was and continues to be very sad. It was a tremendous sight.
Internet Time Alliance Predictions for 2013
JANUARY 7, 2013
Further, we’ll see more examples of the notion of a ‘performance ecosystem’ of resources aligned around individual needs and responsibilities, instead of organized around the providing silos. Here is what the Principals of the Internet Time Alliance see ahead in 2013: Harold Jarche. People who know nothing about connectivism or collaborative learning will profit from MOOC’s. Clark Quinn.
The New Moto X gives us a Glimpse into the future of Mobile and Predictive Computing
AUGUST 9, 2013
Predictive Computing. I for one believe that it’s time for us humans to stop having to adhere to our technology and have our technology cater to us. feel that we are now ready for truly smarter phones that can begin anticipating our needs based on where we are and what time of day it is for example. Mobile Learning featured mLearning mobile Predictive Computing Thoughts?
Enterprise mLearning Predictions for 2011
JANUARY 2, 2011
It is time once again to ponder the research, extrapolate on recent experience, and attempt to read the tea leaves so we can predict the future of enterprise mobile learning in 2011. After such an exciting and rewarding 2010, my predictions for the coming year seem broader and more varied given the fast changing dynamics of the marketplace and accelerated adoption of mobile learning by organizations of all sizes. 1. examples the industry has waited for over the past many years. mLearning Engagements Expand. Device Diversity is the “New Normal”. Pad/Tablet Use Explodes !
Top 10 LMS Forecasts for 2015
JANUARY 5, 2015
An Example is in order: You use PayPal. To get a sense of what is doable, check out Zapier (just to see examples of what various integrations can do). I’m a big fan of them and I use the product. Video conversion will continue to grow, this means that when you upload your video, behind the scenes the video is being converted to its highest quality possible (at least from the vendor perspective) – there are vendors out there doing it today (but for the most part, not mentioning it). . #10 Predictive Analysis or LMS AI (Artificial Intelligence). Calculations.
eLearning Predictions Further Thoughts
JANUARY 27, 2010
I recently posted my Top 10 eLearning Predictions for 2010 and did a presentation on the topic. This goes along with the prediction that employees will increasingly hack work so that they can get access to information and people they need to reach. Fast and Okay Rather Than Slow and Good One of the predictions I made was that we would be creating more, lower cost learning solutions. But it’s amazing that WebEx doesn’t have avatars for participants or any sense of space. I’ve given up on my predictions of a 2.5D There were only a few people who answered that they had.
15 Top Learning, Technology & Media Links: Weekly Digest –10
JANUARY 25, 2011
The past weeks have seen a flurry of Web activity – bloggers making predictions for the coming months; retrospections on the year gone by; new product releases; top lists, summary posts being pulled up, and more. Many analysts are predicting 2011 will be the year of the tablet. Lists and discusses 6 predictions for eLearning in 2011. You can dig into our previous lists here.
eLearning Cyclops: My Big Question Response - Predictions for My.
FEBRUARY 9, 2011
My Big Question Response - Predictions for My 2011 #LCBQ. recently posted my 2011 predictions , but they are general predictions for e-learning and technology. So, here is my response to the Learning Circuits Big Question , which asks to be more focused on our challenges, plans and predictions. What I am predicting for my own challenges and plans for 2011 is not delving into new technology or mediums of delivering learning, but rather a blending of many approaches and technologies I have in my current learning toolkit. My 2011 Predictions. Pages.
Learning and Performance Improvement in 2013
The Peformance Improvement
JANUARY 11, 2013
The Internet Time Alliance principals have made predictions for 2013. Clark Quinn predicts that “…we’ll see more examples of the notion of a ‘performance ecosystem’ of resources aligned around individual needs and responsibilities, instead of organized around the providing silos.” But I don’t think there will be much overall gain in support of learning.
Experts to predict L&D Extinction Events at LT14
JANUARY 22, 2014
The predictions will be Tweeted live with the hashtag #L&DExtinction and uploaded onto YouTube after the exhibition. ‘We may not seriously believe that the end of the world is coming, but 2014 is nevertheless going to be year of upheaval for learning and talent professionals. Saffron Interactive (Stand 24) is recommending that everyone visit this year’s Learning Technologies Exhibition, as it may be their last chance to do so. According to researchers in York, the Viking apocalypse (also known as Ragnarok, or the Twilight of the Gods) is set to take place one month from today.
Internet Time Alliance Predictions for 2013
Performance Learning Productivity
JANUARY 7, 2013
The Principals of the Internet Time Alliance decided to take a collective look ahead to the new year, and share our predictions. Further, we’ll see more examples of the notion of a ‘performance ecosystem’ of resources aligned around individual needs and responsibilities, instead of organized around the providing silos. Jay Cross 2013 will be a great year. What’s not to like? itashar
Animation in Web Design and Examples and Nonexamples: This Week on #BLPLearn
FEBRUARY 19, 2015
If you look at the examples presented, you’ll see screen shots zoom and fade in. That’s just one example… what can you think of? Proven Ways to Use Examples and Nonexamples. suspect that the majority of the learning opportunities we create at BLP involve examples. Concept 2 followed by example. Concept 3 followed by example. Check back every Thursday.
Viplav Baxi Meanderings
DECEMBER 13, 2009
It’s again the new year and time to review some of the predictions I had made for 2008 and 2009. From my 2008 predictions: PLEs will be sharable - tools shall arrive on the web that shall allow entire learning experiences to be sliced and shared between users. predicted that this will pick up in 2009 and it did. From my 2009 predictions: Silverlight (more so) and Flex for learning development and tools will see a significant rise. See for examples the winners in gaming and simulations for this year’s BrandonHall Awards. Not much luck here in 2009.
2010 Predictions for Learning and Technology at eLearn Mag
JANUARY 9, 2010
Predictions for 2010 Check of the predications and add your own! Here is the long version of my 100 word prediction. This will be fueled by a number of breakthrough examples of real learning and productivity results from 3D virtual world learning implementations. Tags: prediction The annual predications for eLearn Magazine from a bunch of folks in the eLearning and learning and technology fields. This in spite of the fact that virtual worlds still seem to be in the “Trough of Disillusionment” in the technology Hype Cycle.
Ten Predictions for eLearning 2008
JANUARY 3, 2008
The Big Question this month are Predictions for Learning in 2008. Here are my predictions, but realistically they are more about trends in eLearning and eLearning Software. Prediction #1 => eLearning 2.0 - Increasing Pressure It's safe to predict that you'll be hearing more and more about eLearning 2.0 Prediction #2 => Virtual Classroom Tools - Meeting Tool + Second Life Lite A medium size Virtual Classroom / Meeting Tool will announce features in 2008 that are not 3D immersive, but that are more like Mii characters in a 2.5D during 2008. world.
Predictions for 2009
DECEMBER 30, 2008
Over at eLearn Magazine , Lisa Neal Gualtieri gets elearning predictions for 2009, and they’re reliably interesting. So there you have it, my optimistic predictions. Here’re mine: The ordinary: Mobile will emerge, not as a major upheaval, but quietly infiltrating our learning experiences. We’ll see more use of games (er, Immersive Learning Simulations) as a powerful learning opportunity, and tools to make it easier to develop. Social networking will become the ‘go to’ option to drive performance improvements. welcome your thoughts.
The Bold New World of Talent: Predictions for 2016
Learning on the Leading Edge
JANUARY 28, 2016
Our latest report, Bersin by Deloitte Predictions for 2016 , discusses ten predictions for the year ahead. These are only two examples of brand new, totally different, digital HR experiences which have enormous impact on the workforce. 2016 will bring dramatic changes in the world of Human Resources, Learning, Talent Management, and HR technology. Lots to do here. 8.
JANUARY 2, 2013
As 2013 begins, it seems an ideal time to reflect back on 2012, share some observations and predictions, and get blogging again. predict large organizations will increasingly utilize LCMSs for mobile content development and deployment and to provide on-demand performance support for employees. This is basically a how-to on doing L&D right with lots of examples. Uncategorized predictionsFor me, 2012 will go down as a year I basically went dark publicly. While I wrote a lot for my work, I think I posted here just 5 times. Oracle, SAP). Mobile, mobile, mobile.
Learning Technologies 2010 – Day 2 Recap
FEBRUARY 4, 2010
Some bits of what Josh shared in his presentation are available in this complimentary report titled Predictions for Corporate Learning and Training Management 2010 (registration required). He used Intel’s example to drive this point home. Source: Predictions for Corporate Learning & Training 2010 by Bersin. 2. Mobile Learning For Rapid Response by Dylan Stokes.
My humble and short eLearning predictions for 2009
JANUARY 6, 2009
My inspiring example: during imprisonment on Robben Island Nelson Mandela studied Bachelor of Laws from the University of London External Program. So let me give you my predictions for 2009. What will 2009 give us? Whatever we want it to give us, I imagine. And I imagine 2009 will give us: content, social media, educational policies and. mobile learning.
3 powerful ideas you should steal from marketing
AUGUST 5, 2013
The commercial has been featured in several publications as an example of highly effective, low-budget marketing. It’s a dry, predictable conveyor belt of dry, predictable information. ” I’m saying, “Treat your audience like they’re smart,” “Use a real person with a personality,” and “Don’t be so predictable.”
Predictions for Learning in 2008
The Learning Circuits
DECEMBER 31, 2007
The Big Question for January is: What are your Predictions for Learning in 2008? To help you get started, you might want to look back at the posts on last months big question and last year's predictions. Future Predictions. For example, Tony Karrer - My Aha Moments in 2007 is great. Happy New Year! As promised. December 2007 - What Did You Learn about Learning?
Consistency vs Variety in Online Assessments: is the balance important?
DECEMBER 19, 2012
Specifically, she wanted my opinion about whether predictability and variety were important facets in good assessment schemes for online courses. Yes – I vote for predictability and variety; however, there is more than one way to skin the cat. Let me give you a few examples: Scenario 1: Assignment 1: Due Sunday of Week 3. Assignment 2: Due Sunday of Week 6. Final Exam: Week 14.
eLearning Trends That Will Fizzle, Sizzle, or Simmer in 2014
FEBRUARY 3, 2014
We all enjoy reading the summaries of the past year – and seeing predictions for the new one. Experience API allows for tracking of all that stuff that has been so hard to track – use of social media, for example. There’s no question that mobile has NOT taken off as predicted. Our industry is notorious for chasing after trends. First, the sizzle.
LCB Question for December - Past Year, Present Challenges, Predictions
DECEMBER 4, 2006
What are your predictions for 2007? Find Lots of Examples of eLearning 2.0 But 2007 would seem to be a good time to find even more smart, small, starter examples of solutions that don't fit within classic eLearning, eReference type solutions. What are your predictions for 2007? First, let me say that before I predict anything, I always start with a couple of quotes that keep me grounded: A consistent pattern in our response to new technologies is we simultaneously overestimate the short-term impact and underestimate the long-term impact. It's all pure service.
ELearning Stats Show Industry Growth
JANUARY 25, 2015
Analysts are predicting that the trend will increase and this figure will reach 28% in the next couple of years. By way of example, Google has roughly 80,000 of their employees enrolled into Udacity’s HTML5 course. With every year comes new and exciting figures in the elearning field. Elearning use has shown gains in nearly every sector. billion come 2018. elearning
10 Types of Learners in ELearning
AUGUST 7, 2014
That is, the presentation of the material is always the same, so you know that the main points are being delivered in a predictable fashion. The infographic below (created by Shift ELearning ) gives an example of 10 different learners that are likely to encounter your training course. However, what is unpredictable is the audience. elearning
Design, Thinking, Learning, Feedforward, & Predictions
Big Dog, Little Dog
JANUARY 12, 2009
Your learners are more likely to remember something if the place or situation in which they are trying to recall the information bears some resemblance - color or smell, for example - to where they originally learned it. My Prediction. With all the predictions taking place, I might as well get on the bandwagon. The essence of strategy for design - Adaptive Path.
Lectora 12 update
JANUARY 25, 2015
Lectora 12 was released in December, 2014…and in a reflection of their commitment to the product, Trivantis has quickly released a patch to address some issues found with that most recent version (which ties nicely to one of our 2015 predictions that Trivantis will re-assert their product. I’m not sure I’ve ever seen Adobe respond that quickly…). If you’re fairly new to Lectora, or want to get a general insight to the capabilities, visit their demo page for variety of ‘How-To’ and other sample courses. patch.