In any given organization the learning and training needs of each team and individual are unique to their goals and job functions. In 2014 there was a lot of focus on personalizing training content to the needs of the learners. But much like Amazon predicting shopping habits of buyers, is it possible to predict what type of learning needs to anticipate?
3. Future or NOW?
Clips from Minority Report
IMAGINE
personalized
advertisements that speak
directly to you
4. Future or NOW?
Disney’s Magic Band TopShop’s Virtual Changing Room
IMAGINE
wearables that are
personalized and enable you to
interact with you environment
IMAGINE
a digital dressing room that makes
recommendations and allows you
to virtually try on clothes
5. What is predictive personalization?
Predictive personalization is the ability to
predict audience behavior, needs, and/or
wants to create a tailored, multi-channel
experience.
This is achieved through tools including
predictive analysis, geo-based location
technologies, and wearable technologies.
5
6. How are people using it TODAY?
• Predict course
selection
• Predict entertainment
preferences
• Predict commerce
preferences
• Predict human
attraction
6
7. How is it being used in the
learning & performance WORLD TODAY?
• Personalized online sales course
based on key demographic questions
• Use of the Experience API (xAPI)
7
8. How is predictive personalization evolving?
• Rise of wearables
• Radio-frequency
identification (RFID)
• Beacons
• Near field communication
(NFC)
• Mobile augmented reality
(AR)
• Image recognition
• GPS
Beacon
Augmented Reality
Image Recognition
8
http://blog.estimote.com/post/106913675010/how-do-beacons-work-the-physics-of-beacon-tech
Augmented Reality: http://www.designboom.com/technology/audi-a3-car-manual-enhanced-by-augmented-reality-app/
Image Recognition: http://www.forbes.com/sites/rachelarthur/2014/11/17/where-image-recognition-technology-is-headed-for-retailers-cortexica-interview/
Fitbit: http://www.cpsc.gov/Global/Images/Recall/2014/14129/114129FitbitForceLARGE.jpg
NFC: http://www.novacard.ru/en/actual/?id=861
9. What are the 5 MOMENTS of learning needs?
Geolocation-based technologies and predictive analysis could
be used to provide critical information at the precise moment
of need.
• Where is the LEARNER?
• What are they DOING?
• What do they need INFORMATION or INSTRUCTION
about? 9
Adapted from "Five Moments of Need" model (Mosher & Gottfredson, 2011)
10. What are some examples of using the existing
technologies with predictive personalization?
Qualcomm Museum’s mobile tour guide
10
11. What is the impact of predictive
personalization on learning & performance?
• New ways to learn; very often
connect with the learner’s context
• Ability to find out critical information at
the precise moment of need
• Connecting real and digital
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Image source: http://www.jwtintelligence.com/2014/05/google-nows-predictive-shopper/#axzz3OiFloTQq
Degree Compass: pairs students with courses that best fit their talents and program of study for upcoming semesters. The model combines past students’ grades with each particular student’s transcript to make individualized recommendations for each student. It uses predictive analytics techniques based on grade and enrollment data to rank courses according to factors that measure how well each course might help the student progress through their program. From the courses that apply directly to the student’s program of study, the system selects those courses that fit best with the sequence of courses in their degree and are the most central to the university curriculum as whole. That ranking is then overlaid with a model that predicts which courses the student will achieve their best grades. In this way the system most strongly recommends a course that is necessary for a student to graduate, core to the university curriculum and their major, and in which the student is expected to succeed academically.
(http://www.apsu.edu/academic-affairs/degree-compass-and-my-future)