Panel
Presentation
|
"How
Can We Exploit Mobile Data To Customise Learning Based
On A Student’s Environmental Surroundings?"
By Colleen Morgan, Queensland University Of
Technology, Australia |
|
Abstract
1. PANEL THEME:
User-Based intelligent systems are already commonplace in
a student’s online digital life. Each time they browse,
search, buy, join, comment, play, travel, upload,
download, a system collects, analyses and processes data
in an effort to customise content and further improve
services. This panel session will explore how intelligent
systems, particularly those that gather data from mobile
devices, can offer new possibilities to assist in the
delivery of customised, personal and engaging learning
experiences. The value of intelligent systems for
education lies in their ability to formulate authentic and
complex learner profiles that bring together and
systematically integrate a student’s personal world with a
formal curriculum framework.
As we well know, a mobile device can collect data relating
to a student’s interests (gathered from search history,
applications and communications), location, surroundings
and proximity to others (GPS, Bluetooth). However, what
has been less explored is the opportunity for a mobile
device to map the movements and activities of a student
from moment to moment and over time. This longitudinal
data provides a holistic profile of a student, their state
and surroundings. Analysing this data may allow us to
identify patterns that reveal a student’s learning
processes; when and where they work best and for how long.
Through revealing a student’s state and surroundings
outside of schools hour, this longitudinal data may also
highlight opportunities to transform a student’s everyday
world into an inventory for learning, punctuating their
surroundings with learning recommendations. This would in
turn lead to new ways to acknowledge and validate and
foster informal learning, making it legitimate within a
formal curriculum.
2. KEY QUESTIONS:
In particular, the panel will discuss the following key
questions:
• What patterns can be identified in mobile data in order
to develop complex and authentic learner profiles?
• What patterns can be identified in mobile data to better
understand students’ learning processes and patterns
beyond school hours?
• What opportunities exist for intelligent systems to
create new relationships between informal learning and
existing curriculum?
• How may these new relationships impact upon what are
thought of as best practices in teaching?
• What does data tracking mean for student privacy?
Panel members will come from a range of disciplines
including education, interaction design, and information
systems.
