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Sampling of experiences within a mobile field trip support system

The workshop took place at the Joint Technology Enhanced Learning Summer School 2013 the 31st of May in Limassol (Cyprus). The presenters were Dirk Börner and Bernardo Tabuenca.

This hands-on workshop presented the guidelines to perform sampling of experiences with mobile technologies. The Experience Sampling Method (ESM) is a technique from the field of psychology aimed to collect sensations and reports from users in context. Mobile technologies provide an interesting opportunity for users to evaluate situations based on “stimulus variables in the natural or customary habitat of an individual” since they are reported in our own personal device, and carried in our pocket 24 hours. 
 
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Participants were able to learn the ESM supported by ubiquitous mobile technologies and carry out a field-trip excursion that will lead them through the history of the Joint Technology Enhanced Learning Summer School 2010-2012 (JTELSS) and report their sensations about the JTELSS 2013. Mobile devices were offered for non-android users. This workshop provided insights not only on the implementation of Experience Sampling Method (Larson & Csikszentmihalyi, 1983) but also the Inquiry Based Learning for visualisation and data collection supported by mobile technologies (Consolvo & Walker, 2003). Thereby the focus was on the application of the system to capture the learners’ experiences during a field trip in real time, such as feelings, attitudes, or individual conditions.
 
The ESM exercise was carried out with an open-source tool suite for educators, researchers and learners supporting different phases and activities during a field trip: ARLearn. During the workshop uses cases as well as their implementation were presented to deliver insights on how to enrich physical spaces, access different kinds of content, interact with the environment, provide a contextualised learning experience, and adapt learning content accordingly.
 
 
References
Consolvo, S., & M. Walker. 2003. “Using the Experience Sampling Method to Evaluate Ubicomp Applications.” IEEE Pervasive Computing 2 (2): 24–31.
 
Isomursu, M. (2008), Benefits and Challenges of Evaluating Ubiquitous Technology in Field Settings. International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, pp. 30-37
 
Larson, R., & Csikszentmihalyi, M. (1983). "The experience sampling method". New Directions for Methodology of Social and Behavioral Science, 15, 41-56.
 
Ternier, S., Klemke, R., Kalz, M., Van Ulzen, P., & Specht, M. (2012). ARLearn: augmented reality meets augmented virtuality [Special issue]. Journal of Universal Computer Science - Technology for learning across physical and virtual spaces.
 
Jon Froehlich, Mike Y. Chen, Sunny Consolvo, Beverly Harrison, and James A. Landay. (2007). MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. In Proceedings of the 5th international conference on Mobile systems, applications and services (MobiSys '07). ACM, New York, NY, USA, 57-70. DOI=10.1145/1247660.1247670 http://doi.acm.org/10.1145/1247660.12476
 
An audience response system based on location: CELSTEC Clicker

I recently uploaded the outcome of my hands-on Titanium Appcelerator (http://en.wikipedia.org/wiki/Appcelerator_Titanium) in DSpace at Open Universiteit.

CELSTEC Clicker is an audience response system, also called “clicker” or “personal response system”. This system is composed by two modules, the first one is an app used for gathering questions to individuals based on their location (See figure 1 and 2), and second one, a platform for monitoring back the results of the poll to the group in the form of a chart or graph (See figure 3).

Figure 1 Figure 2



The client app is based on Model View Controller design pattern and build entirely with Javascript under Titanium for Eclipse IDE. Available questions to individuals, their answers and locations are stored in opened Google Fusion tables. The results of the poll are monitored in Java servlets hosted by Google App Engine. Charts and graphs are built using Google Charts.
 

Figure 3

 


Available questions can be configured with password so that the access can be restricted to a group of users.

You can download the software and its documentation under DSpace in the following link http://bit.ly/JOY6Lc

Enjoy the clicker and do not hesitate to contact for any doubt regarding the app.
 

Bernardo Tabuenca

2 resultaten getoond.