The Future...
How Will You and Your Organization Remain Relevant?
A Vision of Learning for 2020 and Beyond
Virtual Reality | Augmented Reality | Gamification
September 22, 2016
8:00 am - 4:00 pm
In an ever-changing world, staying at least one step ahead is imperative for the Talent Development Professional. As always, SEWI-ATD is here to help you confidently see the future with clarity.
SEWI-ATD is proud to bring you its most cutting-edge learning event ever! We'll be demonstrating the latest in: • Augmented Reality • Gamification • Online Video Learning • Transmedia Storytelling • Virtual Reality ...all centered around making you and your organization prepared to make learning stickier and more applicable for your learners than ever before. This is not about merely hearing about these advances in technology... You will be able to try and personally experience each of them, first-hand. Register today!
If you enjoyed our three recent posts on PLA (Predictive Learning Analytics) and avoiding "scrap learning," you'll love next week's event! Join SEWI-ATD as Dr. Ken Phillips presents on how predictive analytics are changing TD for the better. Get more information here.
In addition, CLO Magazine just posted yet another interesting article on the topic, here.
From Dr. Ken Phillips, CPLP (CEO of Phillips Consulting and May 20th SEWI-ATD guest speaker):
Imagine the possibilities if you could know at the conclusion of a learning program which learners are most and least likely to apply what they learned back on the job.
…Or, imagine if you had data indicating which managers did a good and poor job of supporting the learning they sent their employees to attend.
…Or, imagine if you had an objective way to compare the overall quality of one learning program with another so that you could revise or eliminate those programs that aren’t delivering value.
Now all this and more is possible using Predictive Learning Analytics™ (PLA).
PLA is a revolutionary new way to apply data based decision-making to learning. The PLA methodology doesn’t replace traditional measurement and evaluation of learning, but rather builds upon it and provides two new exciting possibilities:
1) it focuses on individual learners and not on programs or cohorts; and 2) it focuses on predicting future behaviors or actions and not on documenting what has already happened.
These two differences make Predictive Learning Analytics™ a game-changer, enabling L&D professionals to proactively and strategically increase training transfer while at the same time increasing their personal credibility with the business executive stakeholders they support.
If you would like to learn more about Predictive Learning Analytics™ and how it can add value in your organization, come join me and your fellow Southeastern Wisconsin ATD Chapter members on Friday, May 20 to learn about the new tools and new rules for improving training transfer through the use of Predictive Learning Analytics™.
Have you heard the term, "scrap learning?" It's a problem that occurs far too often within the L&D profession. Scrap learning is when people attend training, but don't apply what they learned. In this insightful post, Dr. Ken Phillips, CPLP and our upcoming speaker, shows us how to get learning to not only stick, but to transform behavior and produce results.
Want to learn more? Join us May 20, as Dr. Phillips speaks on this problem.
Many Learning and Development Professionals are struggling to keep up with the current trends in predictive analytics in business, and yet they can play a pivotal role in talent development. This article by Ryann K. Ellis demonstrates the advantages of using analytics in learning.
The Future...How Will You and Your Organization Remain Relevant?
Classroom Augmented Reality, Emerging Educational Technologies, Wearables and Beyond!
The event will be held at the majestic Schlitz Audubon Nature Center in Milwaukee, so block off your calendar now so you can attend this incredible event.
Contact Usadmin@sewi-atd.orgPhone: 608-204-9815Association ManagersSeth TrickelHeather L. Dyer, CAE