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School of Computing & Communication SystemsLancaster University, UK

A Study of User Interaction with Context Aware

Notifications from a Moodle Learning Environment

Phil Benachour: [email protected]

Laura Crane: [email protected]

The 13th IEEE International Conference on Advanced Learning Technologies

July 15-18, 2013

Beijing, China


Motivations of Research

Previous Research Dimensions of

Context Precedence of

Context Rationale of Study Architecture of

Applications Deployment Results Conclusions


The research carried out was based on the following motivations:

Investigate student interactions with mobile devices

Profile student usage of mobile applications which support their organisation of learning

Attempt to answer the question of:

“Can we utilize context in pervasive learning environments?”

Profile student usage of mobile applications which support their organisation of learning



Investigation of RSS as an appropriate information channel for Mobile Learning

Comparison of RSS and Twitter based Web 2.0 systems

The delivery of information based upon either a time or location mechanism

Can we deliver information from a VLE by more than time or location?


Dey (2001)

“Context is any information that can be used to characterize the situation of an entity. An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves.”







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).


Time Application Location Application Activity Application

•3 Groups of participants

•5 participants in each group for Time, Location & Activity

• Deployed onto 15 devices

• Full term of 10 weeks (70 days)School of Computing & Communication SystemsLancaster University, UK




Results – Weeks of the Term













• Patterns of Usage• Mainly contained in formal hours and spaces• Early afternoons show peaks of interactions• Time mobile application held the most

amount of interactions• Location and Activity very close in numbers

• Build useful user profiles and patterns of usage• Ensure wireless access & infrastructure 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

Contact Us for more information

Email: [email protected]@lancaster.ac.uk

Twitter.com/laura_crane

Twitter.com/benachourP
