Ganz interessant, vor allem im kontext mit unseren aktuellen IoT aktivitäten.. -gn
-------- Original-Nachricht -------- Betreff: [WI] Call for Articles: Special Theme on Sensor-based Learning Support and Technologies in the Bulletin of the IEEE Technical Committee on Learning Technology Datum: Thu, 1 May 2014 13:56:36 -0600 Von: Sabine Graf sabine.graf@ieee.org An: wi@aifb.uni-karlsruhe.de
Call For Articles BULLETIN OF THE TECHNICAL COMMITTEE ON LEARNING TECHNOLOGY (ISSN 2306-0212)
Special Theme: SENSOR-BASED LEARNING SUPPORT AND TECHNOLOGIES publication of IEEE Computer Society Technical Committee on Learning Technology (TCLT)
* Guest editor: Marcus Specht, Open Universiteit Nederland. * Deadline for submission: May 31, 2014
Making use of available data to track learners and their learning progress is at the core of many computer based educational systems. This is especially the case for adaptive educational systems which use this data/information for adaptive, user-centred instruction, personalization of interaction with the learner and formative/summative assessment.
While the idea of using sensors has often been used in physical and advanced sports training, life logging and sensor tracking applications are beginning to make their way into a wide range of application fields as health, nutrition, life-style, fitness, sleep, and productivity. New kinds of sensor-devices support users in monitoring their health, weight, sleep behavior and other aspects of their daily lives. Technically it is possible to track stationary activities, geo-spatial movements, physical activities (for amount and intensity), social relationships, consumer habits and even eating behaviour, as well as detailed bio-physiological data about learners and their daily practices such as alertness, learning capacity, et cetera).
Nevertheless there is a core question about the underlying mechanisms and how these new forms of user tracking and the feedback based on this information can be best integrated in instructional designs and educational systems. As a core principle, even redundant information visualized in feedback-loops in the right context can be an efficient means for improving self-regulation.
The special issue will collect the range of possible applications of sensor-based feedback technologies and learning support technologies making use of sensor information mostly in real-time but also post-hoc.
This issue will be published in Vol. 16, No 2 of the Bulletin of the Technical Committee on Learning Technology. Articles that are not in the area of the special theme are most welcome as well and will be published in the regular article section. For further information please see http://www.ieeetclt.org/content/bulletin.
* Special Theme Submission procedure: 1. The articles in the bulletin are limited to 4 pages. Over-length articles will not be published. 2. Please follow the format guidelines at: http://www.ieeetclt.org/content/authors-guidelines. 3. The manuscripts should be either in Word or RTF format. Any figures used in the contributions would be required separately in a graphic format (gif or jpeg). The figures should also be embedded in the text at appropriate places. 4. Please send the manuscripts by email as attachment to the guest editor of this special theme Marcus.Specht@ou.nl (Subject: Submission to TCLT bulletin). 5. In the email, please state clearly that the manuscript is original material that has not been published, and is not being considered for publication elsewhere.
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