Paper Info
Title
An evaluation method for location-based mobile learning based on spatio-temporal analysis of learner trajectories
Abstract
The evaluation of location-based mobile learning (LBML) concepts and technologies is typically performed using methods known from classical usability engineering, such as questionnaires or interviews. In this paper, we argue that many problems that may occur during LBML become apparent in the learner's spatio-temporal behavior (i.e., her trajectory). We systematically explore how location tracking and spatial analyses can be used for the evaluation of LBML. Examples with trajectories recorded during a real learning session are presented.
Year
DOI
Venue
2015
10.1145/2786567.2801607
MobileHCI Adjunct
Field
DocType
Citations 
Spatio-Temporal Analysis,Usability engineering,Computer science,Artificial intelligence,Trajectory analysis,Trajectory,Machine learning
Conference
2
PageRank 
References 
Authors
0.40
14
4
Name
Order
Citations
PageRank
Christian Sailer150.84
Peter Kiefer222324.99
Joram Schito320.74
Martin Raubal4111281.28