Paper Info
Title
A multimodal learning analytics view of HTML5 APIs: technical benefits and privacy risks
Abstract
During the last decade, students and teachers have been using a wide variety of web platforms to enhance education. Traditional forums, blogs, wikis, Learning Management Systems or social networks coexist with an astonishing volume of mobile learning apps. All of these platforms provide insightful logs of users' interactions. This is especially true when educational researchers take advantage of smartphones to gather and analyze learning processes in a multimodal manner (not only users' clicks or touch events, but also audio, video, location, motion, temperature, humidity or luminosity, among others). This paper describes the potential advantages of using HTML5 APIs to enhance education using web apps in mobile environments from a Multimodal Learning Analytics perspective, and discusses the privacy risks of this new scenario.
Year
DOI
Venue
2014
10.1145/2669711.2669911
TEEM
Keywords
Field
DocType
multimodal,design,learning analytics,human factors,html5,privacy,measurement,ethics,education,computer uses in education,api
World Wide Web,HTML5,Social network,Learning analytics,Learning Management,Web application,Engineering,Multimedia,Multimodal learning analytics
Conference
Citations 
PageRank 
References 
1
0.37
9
Authors
2
Name
Order
Citations
PageRank
Pablo Garaizar1258.48
Mariluz Guenaga2169.13