a.i. in e-learning | wilhelm klat | 4. edtech hamburg meetup
TRANSCRIPT
A.I. in E-Learning
4th EdTech Meetup Hamburg
Wilhelm Klat (M.Sc.)
Former Research Assistant at the Bielefeld University
Chairman of the Gesellschaft für Bildungsinnovation e.V.
Dipl. Betriebswirt (FH) Michael Johner
MJohner Consulting & Training
Member of the SAGSAGA board - (Swiss Austrian German Simulation And Gaming
Association: sagsaga.org)
Dr. Kristina Schaaff
Consultant at Inform GmbH
Introduction
Hi, I’m Clippy.
Simulation Games and A.I.
I try help you with your virtual job.I simulate jobs.
And together we are more than the sum of our parts.
Simulation Games: An Effective Learning Instrument
It allows and focuses on the training of higher cognitive skills*:
Remembering
Understanding
Application
Analysing
Evaluating
Synthesizing
* based on Bloom’s taxonomy (1956)1
2
3
4
5
6
Time
Participants / Instructor
Computer
Web
A.I.
✓ calculation✓ administration
✓ flexibility✓ standardization✓ administration
201620001990
✓ learning analytics✓ learning support
40
20
60
The Core Challenge of Simulation Games
Our Work on A.I. in E-Learning
Enable A.I. to support instructors and participants.PROJECT GOAL
CHALLENGE Enable A.I. to detect missing knowledge of participants.
STATUS QUO
NEXTGENERATION
analyze decisions and results
What decisions have been made? Are these decisions good?>
Why decisions have been made?>analyze tracking data
track decision making process
Tracking
1 2Physiological senses Emotions
bits
per
sec
ond
10M
1M0.1M 0.1M 0.01M
Sight Touch Smell Hearing Taste
“Flow”
Tension,Anger
Relaxation,Resignationpe
rform
ance
arousalYerkes & Dodson (1908)
Heart rate
Blood pressure
Vocal expression
Facial expression
Body movement
and much more..
Skin conductance
Tracking: Sight (Web Analytics)
> Implications:Requires a complete redesign of user interfaces and learning processes
84-88% correlation with eye movement(Chen et al., 2001)
Movement(Heatmaps)
Mouseover & Clicks(Clickmaps)
Scrolling(Scrollmaps)
Tracking: Sight (Eye Tracking)
integrated remote mobile
Pros:
Cons:
no costs, easy application
sub-optimal accuracy costs (~2,000 €), poor mobility
accuracy best accuracy, soon “bring your own device”
not yet available, costs (~500-800 €)
> Implications:Breakthrough of mobile eye-tracking expected in 2016 (e.g., MS HoloLens).
Tracking: Emotions
>Implications:Wearable technology provides new opportunities for cheap and easy emotion tracking on a large scale.
mouse & touchpadsactivity trackerssmart watches
heart rate: optical pressureheart rate: optical & infrared
Missing Information Approach (MIA)
decisiongive feedback for information 3
no feedbackseen
not seen
important information
1
2
3
4
5
Data Analysis using an Expert System
Data Analysis using an Expert SystemEmotional Reaction Approach (ERA)
time
emotion tracking (heart rate)
eye tracking(seen information)
A B
expected heart rate
give feedback for information B
Data Analysis using a Neural NetworkSearch Path Approach (SPA)
Search path of expertsSearch path of beginners
Learning Testing
Universities
Companies
Individuals MOOCs
Bachelor and MBA
Corporate Training
Individual Assessment (for LinkedIn, Xing)
Post-graduate MBA test (see e.g., GMAT)
(Online) Assessment centers
Fields of Application
Summary❏ Stand-alone virtual learning assistants cannot provide learning support
❏ They need to be embedded and integrated in a learning environment that produces the required data (e.g., simulation games)
❏ Window of opportunity from web technologies, the internet of things, and wearable devices
❏ Huge global impact: High quality E-Learning becomes accessible and affordable for everybody
❏ Measure what is measurable and make measurable what is not. (Galilei)
Thank you for your attention!
Wilhelm Klat (M.Sc.)
Dipl. Betriebswirt (FH) Michael Johner Dr. Kristina Schaaff
