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.
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.
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
The LMS Meets 2017: Top 15 Learning Tech Predictions
JANUARY 9, 2017
Hands down, our learning technology “predictions” list is our favorite post to develop each year. For example, Litmos acquired extended enterprise specialist View Central last year. For example, check out Zapier.com – it is a “broker” for hundreds of name-brand productized integrations that a learning/training business can snap together in countless variations. Fun times ahead.
Did My 2016 Predictions Come True?
DECEMBER 6, 2016
Earlier this year I made three elearning predictions. As a reminder, the three predictions I made in January were: Gamification Changes Articulate, Captivate, and/or iSpring. Prediction #1: Gamification Changes Articulate, Captivate, and/or iSpring. Prediction #2: Global Learning Management Industry Revenues Increase. My own will be coming out in January. Result: Wrong.
2016 LMS Market Trends, Observations and Predictions
JANUARY 12, 2016
Here are our top ten 2016 trends, observations and predictions for the LMS and broader learning technology market. . #10 Culture Shift Driving Epic Innovation in the LMS Market. The next nine LMS market trends, observations and predictions are in response to the culture shift. #9 – Four Main Types of LMS in 2016. The 2016 LMS market is not what you think. This is big news.
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.
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.
Which Association Learning Trends Predictions Came True in 2016?
DECEMBER 13, 2016
With just a couple of weeks to the end of the year and a huge variety of association learning solutions being showcased this week at ASAE Technology Conference 2016 , it’s a good time to look back at the association learning trends that were predicted for 2016 and see which of these are still relevant. The post Which Association Learning Trends Predictions Came True in 2016?
Did My 2015 Predictions Come True?
JANUARY 18, 2016
Now that a year has gone by I was curious if any of these predictions came true. Here you can read more about the predictions I made and some additional context. The predictions were: MOOCs Forced to Grow Up. Prediction #1: MOOCs Forced to Grow Up. For example, in August of 2015 Coursera secured more investments from another round of funding. So, was I right?
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.
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?
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.
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 !
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
How Gagné’s Nine Events of Instruction Can Make Your Online Courses Better
DECEMBER 28, 2016
For example: Start off with attention-grabbing graphics or video clips featuring interactive scenarios about the subject matter, which will require your students to focus and engage with your content. 2. For example: Establish your standard criteria for in-class performance in layman’s terms that your eLearner can easily grasp. Gain Learners’ Attention. Conclusion.
The CLO’s Guide to AI
FEBRUARY 23, 2017
What if CLOs could predict personalized learning needs or deliver targeted learning content based on work tasks before employees need it? By predicting and delivering highly specific learning in real-time, AI can transform corporate learning and development. Or, predict the likelihood of high task performance. They can. Comment below, or email editor@CLOmedia.com.
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.
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.”
Seven 2017 Learning Trends: Novel or Norm?
JANUARY 10, 2017
We are seeing lots of examples of machine learning (self-driving cars use machine learning, for example). Predictions are for virtual assistants to find their way into more and more classrooms; some already exist today. Mobile is no longer new, but it does appear to be “stuck” with adoption not proliferating as trend watchers predicted back in 2010, 2011, and 2012.
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?
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.