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Introduction
Methodology
Discussion
Future Work
Uses of accelerometer sensor and its
application in m-Learning environments: a
review of literature
José Ángel Trujillo Padilla1 Carina Soledad González
González2
1PhD student,Ingeniería de Sistemas y Automática (ULL), Tenerife
2Dpto. de Ingeniería Informática y de Sistemas (ULL). Grupo Interacción, TIC y
Educación (iTED) Universidad de La Laguna (ULL), Tenerife
Dpto. de Ingeniería Informática
1 / 20
Introduction
Methodology
Discussion
Future Work
Content
1 Introduction
m-Learning
Research questions
What does an accelerometer sensor do?
2 Methodology
Search and selected samples
Inclusion / Exclusion criteria
Classification of samples
Findings
3 Discussion
Technological challenges
Pedagogical challenges
4 Future Work
2 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Introduction
3 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Introduction
4 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
What is m-Learning?
5 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Research questions
What about the accelerometer sensor into smartphone
devices?
In which way is it used on m-learning enviroments?
6 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Accelerometer sensor into smartphone devices
7 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Accelerometer sensor into smartphone devices
8 / 20
Introduction
Methodology
Discussion
Future Work
m-Learning
Research questions
What does an accelerometer sensor do?
Accelerometer sensor into smartphone devices
9 / 20
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Search and Selected samples
Cuadro: Results for keywords used in search
Terms Keyword Results
1 Accelerometer sensor + Mlearning 7
2 Accelerometer sensor + Mobile learning 20
3 Accelerometer sensor + visualization forMlearning 0
4 Accelerometer sensor + serious games 9
5 Accelerometer sensor + designing mobilesystem for learning 0
6 Accelerometer sensor + multimodal userinterfaces 8
10 / 20
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Inclusion / Exclusion criteria
Cuadro: Inclusion/Exclusion criteria
Inclusion Exclusion
Should indicate the use of the accelerometer sensor.
Alone or in combination with another sensor/s The accelerometer is not used specifically
Must be oriented smartphone type devices (smartphones) It is not used with an educational or pedagogical purpose
It must have been published in any scientific support,
proven and recoverable It is a commercial project
Must display results and / or assessment of use Do not use on smartphone device type
11 / 20
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Classification of samples
Cuadro: Classification of samples
Reference App typology Accelerometer role
Dingli and Hili 2013 Exergaming data collection
Tian et al., 2013 Augmented reality data collection
Li et al., 2012 mLearning as interface
Karavirta and Hakulinen 2012 Serious Game as interface
Fitz-Walter et al., 2012 Gamification data collection
Laine et al., 2011 Serious Game as interface
Woll et al., 2011 Augmented reality as interface
Kiili et al., 2011 Exergaming as interface & d. collection
12 / 20
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Accelerometer sensor role
As data: The accelerometer sensor captures data that
serves the application to know the context in which the
user and the device are
As interface: There is the intention to make the most of
accelerometer sensor data in order to provide an
alternative interaction tool to the user
13 / 20
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Sample: M-VARLM
14 / 20
Tian et al., 2013
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Sample: Binary tree
15 / 20
Karavirta & Hakulinen, 2012
Introduction
Methodology
Discussion
Future Work
Search and selected samples
Findings
Association between sensors
Main association are:
Accelerometer & GPS
Accelerometer & Gyroscope
16 / 20
Introduction
Methodology
Discussion
Future Work
Technological challenges
Pedagogical challenges
Technological challenges
Require programming processes to be implemented
Development of Apps made easier
Expensive devices
Making m-Learning environments more universal
17 / 20
Introduction
Methodology
Discussion
Future Work
Technological challenges
Pedagogical challenges
Pedagogical challenges
Smartphones have had a bad press
Size of the screen being too small
Privacy issues
18 / 20
Introduction
Methodology
Discussion
Future Work
Future Work
Keeping up to date
Security aspects
Recognizing people
19 / 20
Introduction
Methodology
Discussion
Future Work
Thank you
any questions?
20 / 20

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