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What do Context Aware alerts from Virtual Learning Environments tell us about user time & location?
Laura CraneSchool of Computing &
Communication [email protected]
@laura_crane
Dr.Phil BenachourSchool of Computing &
Communication [email protected]
@phil_benachour
IADIS M-Learning Conference, Lisbon 2013
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Outline of Presentation
Motivations of Research Previous Research Dimensions of Context Precedence of Context Rationale of Study Architecture of Applications Deployment Results Conclusions
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Motivations of Research
Investigate student interactions with mobile devices
Profile student usage of mobile applications which support their organisation of learning
Can we utilize context in pervasive learning environments
Precedence of contextual dimensions
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Disseminating Information to Students
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Previous Work
Investigated RSS as an information channel for mobile learning
Compared RSS to Twitter Delivered RSS based upon a time or
location mechanismCan we deliver RSS based alerts
using more than time and location?
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Dimensions of Context
Identity
Location
TimeActivity
Relationship to n.
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Dimensions of Context
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Precedence of Context Dimensions
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Prescendence of Context Dimensions
Time
Activity
Relationships to n.
0.25 0.75 1.25 1.75 2.25 2.75 3.25
Time Location Activity Your Identity
Rela-tion-
ships to n.
Mean Re-sponse
2.996727266666
67
2.850189666666
67
2.926665333333
33
2.39890303
1.979968443333
33
Mean Values from Student Responses
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Architecture of Applications
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API Integration
https://www.alohar.com/developer/learnmore.html
• Automatically detect the places (including the name and category) that the user visits.
• Minimize battery power consumption while gathering data from the mobile device.
• Get notifications when a user arrives at or departs from a place.
• Automatically get the number of times a user visits a place, and how much time is spent there per visit.
• Automatically understand a user’s mobile motion state (e.g. stationary, walking or driving).
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Screenshots of ApplicationsTime Application Location Application Activity Application
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Screenshots of Applications
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Deployment of Context Aware Applications
3 Groups of participants5 participants in each group for
Time, Location & Activity Deployed onto 15 devices Full term of 10 weeks (70 days)
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Study Results – Time of Day
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Results – Day of the Week
17%
17%
9%18%
29%
8% 3%
Percentage of Interactions over Term by Day of the Week
Monday Tuesday Wednesday ThursdayFriday Saturday Sunday
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Results – Weeks of the Term
1 2 3 4 5 6 7 8 9 100
5
10
15
20
25
30
35
40
45
50
Number of Interactions per Week of the Term
TimeLocationActivity
Num
ber
of
Inte
racti
ons
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Results – Location Based Results
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Conclusions & Future Work
Build useful user profiles and patterns of usage
Ensure wireless access is available in situations where interactions take place
Currently in the second term of academic year long study
The groups have been deployed with a different context application
Awaiting results April to May 2013