Disruptive technologies such as virtual reality, artificial intelligence, and big data are rapidly finding their ways in the Learning and Development (L&D)space. Is L&D ready for the perpetual permutation of technology, and the ability to apply that to learning and performance support?
In this workshop, we will explore the types of disruptive technologies that are transforming L&D, some practical applications from intelligent chatbot coaching to adaptive learning management systems (LMS) and empathy training using VR goggles. Case studies and best practices will be discussed.
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
An Overview of Disruptive Technologies in Learning &Development
1. An Overview of
Distruptive
Technologies in L&D
Dr. Stella Lee, Paradox Learning Inc. Photo by Coline Beulin on Unsplash
ATD Cascadia E-learning SIG,
Nov 13, 2018
10. 2.
Big Data/
Learning
Analytics
Photo by Markus Spiske on Unsplash
“Extremely large data sets that may
be analyzed computationally to
reveal patterns, trends, and
associations, especially relating to
human behavior and interactions..“
“An educational application of web
analytics aimed at learner profiling,
a process of gathering and analyzing
details of individual student
interactions in online learning
activities.“ – Horizon Report 2016
13. 3.
Virtual Reality/
Augmented
Reality
• VR vs. AR
• 2017 was the year when the
technology hits mainstream
• Vendors start showing up at
learning technology tradeshows
and conferences
Photo by Lux Interaction on Unsplash
18. What are some implications?
Photo by rawpixel on Unsplash
19. How do we mitigate the risks?
Photo by Cristofer Jeschke on Unsplash
20. Thanks!
Connect with me:
▫ https://www.linkedin.com/in/stellal/
▫ stella@paradoxlearning.com
▫ https://twitter.com/stellal
Photo by Paweł Czerwiński on Unsplash
Notas del editor
Significantly alter the way businesses or entire industries operate. Often times, these technologies force companies to alter the way they approach their business, or risk losing market share or becoming irrelevant.
Put together by Richard Watson at Imperial College London
100 emerging technologies ranked by both time and disruptive potential
I want to talk about three emerging technologies and their applications in e-learning
Content curation/Recommender systems - the ability to suggest learning content to learners based on a number of attributes.
Adaptive learning/personalized paths - adaptive can be at multiple levels, most commonly used at a course level for content in a learning path. Usually use test scores, learner’s interaction with previous content, demographic information, prior knowledge and experience level, and a number of other attributes. Some do behavior modeling and content analysis
Branded as learning experience platform (LEP)
Netflix meets Spotify
Curated content from various sources such as Harvard Business Review, Forbe Magazine, etc.
A library of over 9000 items curated – over a 100 Learn List – curated path for a certain skill
Recommend some content based on the area of interest or what you said you are interested in improving in
Include some of the algorithm a choice to see if the end users want to add in more rules
Onboarding
Personalized learning
Performance support
Coaching and mentoring
Georgia Tech online course in comp sci
Didn’t tell students that there is a bot
Predictive analytics in the form of ‘people analytics’ empower HR to make more informed business decisions
Predictive analyticsThe attempt to forecast what could happen in the future based on what has happened in the past.
Analysis and monitoringGathering data related to why events have happened and what is happening now.
ReportingOutlining what has happened in a clear way that can be used for comparison in the future.
Predict and present the most relevant content to learners by automatically creating personal learning paths.
Identify at risk learners by predicting learners’ final grades for a course. Visual dashboard with Risk Quadrants.
Give instructors more actionable insights.
The indicators are normally around frequency of log in, duration of log in, grades, engagement in discussion, etc.
Do not measure quality of interaction
More than a million headsets were shipped at Q3 2017(https://www.canalys.com/newsroom/media-alert-virtual-reality-headset-shipments-top-1-million-first-time)
Mostly driven by gaming and entertainment culture
Main applications: medical education, healthcare, manufacturing, architecture, geography, geology
Growing interest in empathy training
Vancouver is one of the largest VR hubs in the world with over 200 companies (compare to 15 three years ago).
First time the E-learning Guild put on a VR/AR and other alternate reality technologies for learning conference called Realities360.
Still early days in terms of development and application in learning
Soft skills training courses - public speaking, business networking, presentations, job interviews, etc.
Combination of online tutorials + VR videos and practices - you can record your presentation and it provides a voice analysis for your recording.
An app where an apprentice can point the camera at any machine in the industry and it is instantly recognised by the AI without need for tags or QR codes.
The app overlays the camera’s live feed with augmented reality buttons where the learner can recap on a machine, watch more training, and double check safety elements.
This is being used in environments where the trainer is looking after 10 people at a time. So by using the app a learner does not have to wait for the instructor to become available. It also allows self-lead learning.