What do Context Aware alerts from Virtual Learning Environments tell us about user time & location? Laura Crane School of Computing & Communication Systems [email protected]@laura_crane Dr.Phil Benachour School of Computing & Communication Systems [email protected]@phil_benachour IADIS M-Learning Conference, Lisbon 2013
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What do context aware alerts from virtual learning
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What do Context Aware alerts from Virtual Learning Environments tell us about user time & location?
Motivations of Research Previous Research Dimensions of Context Precedence of Context Rationale of Study Architecture of Applications Deployment Results Conclusions
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
Disseminating Information to Students
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?
Dimensions of Context
Identity
Location
TimeActivity
Relationship to n.
Dimensions of Context
Precedence of Context Dimensions
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
Architecture of Applications
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).
Screenshots of ApplicationsTime Application Location Application Activity Application
Screenshots of Applications
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)
Study Results – Time of Day
Results – Day of the Week
17%
17%
9%18%
29%
8% 3%
Percentage of Interactions over Term by Day of the Week