Connectionists: ³Advances in Learning Analytics and Educational Data Mining² - CFP ESANN 2015 Special Session

[Alessandro Ghio]

***     Apologies for cross posting     ***


ESANN 2015 Special Session ­ ³Advances in Learning Analytics and Educational
Data Mining² - CALL FOR PAPERS 


European Symposium on Artificial Neural Networks, Computational Intelligence
and Machine Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium ­
http://www.esann.org
 
Submissions are invited for next year ESANN Special Session "Advances in
Learning Analytics and Educational Data Mining".
 
Organizers: 
Davide Anguita, Alessandro Ghio, Luca Oneto - University of Genoa, Genoa,
Italy
Mathias Funk, Matthias Rauterberg - Eindhoven University of Technology,
Eindhoven, The Netherlands
 
 
ESANN 2015 Special Session "Advances in Learning Analytics and Educational
Data Mining" webpage: http://esann2015.la.smartlab.ws
Smartlab webpage on Learning Analytics activities: http://la.smartlab.ws
 
 
ABSTRACT
Thanks to the emerging of computer-assisted learning systems, the automatic
information collection of interaction between the student and Technology
Enhanced Learning (TEL) system has become increasingly common: data are now
available and should be exploited to get more insights on students¹
attitudes, interactions and learning paths, as well as to improve the
effectiveness of TEL methods in a virtuous loop framework. Such data
availability has led to applications of Learning Analytics (LA) and
Educational Data Mining (EDM) techniques in this domain, characterized by
the capability of extracting non-trivial patterns from them: based on such
information, actions can be undertaken in a proactive, rather than reactive,
way. In this framework, the main issues are related to several factors such
as the presence of contradictory data (due to the centrality of the human
factors in data generation), or their potentially high-dimensionality (i.e.
several variables describing the behavior of a limited number of students in
a class). These features represent a significant challenge in the
application of classical modeling techniques, for example, parametric
statistics, thus enabling the necessity of switching towards more
sophisticated approaches. Examples of such methods are: Visual Analytics
methods, allowing the final user (e.g. the teacher) to discover common
patterns and cross-correlations between variables in a user-friendly
graphical, interactive, and appealing way; Descriptive Analytics methods,
based on non-parametric statistics, where cross-fertilizations with
analogous methodologies, developed in heterogeneous domains (e.g. retail),
is fostered towards profiling students¹ learning activities and attitudes.
Such activities could be inflated in several fields, spanning from
university classes to corporate training, where TEL technologies are
adopted.
 
TOPICS
In this special session, we would like to encourage submissions related to:
·      the development of innovative LA/EDM techniques based on Machine
Learning, Computational Intelligence, and Data Analytics approaches

·      the application of LA/EDM approaches to real-world problems, both in
academic and corporate training domains

·      the development of new datasets for testing and validating innovative
LA/EDM approaches

·      the development of protocols for improving LA/EDM applications and
TEL usage

·      the development of Visual Analytics approaches to analyze and improve
human-computer interaction with data gathered from TEL systems

·      techniques for learner profiling and adaptive recommender systems

·     techniques for supporting new teaching styles and contemporary
learning activities, as well as the analysis thereof.

 
SUBMISSION & IMPORTANT DATES
We kindly invite you to submit a paper to this special session. Each paper
will undergo to a peer reviewing process for its acceptance. Paper
submission should be done exclusively through the ESANN portal following the
instructions provided in:
(http://www.elen.ucl.ac.be/esann/index.php?pg=submission)
<http://www.elen.ucl.ac.be/esann/index.php?pg=submission)> .
 
Paper submission deadline : 21 November 2014
Notification of acceptance : 31 January 2015
ESANN 2014 conference : 22-24 April 2015
 
 
NOTES
You can find details about the special session at
http://esann2015.la.smartlab.ws. If you have any questions concerning the
special session, please do not hesitate to contact us via email to:
la at smartlab.ws 
 
More information about the Conference Program, accommodation facilities and
registration fees is available on the ESANN website http://www.esann.org
 
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Dr. Alessandro Ghio, Ph.D.

Research Fellow
Smartlab - Polytechnic School ­ University of Genoa
Via Opera Pia 11a, I-16145 Genoa (Italy)

T. +39-(0)10-3532192
F. +39-(0)10-3532897
@ Alessandro.Ghio <mailto:alessandro.ghio at unige.it>
<mailto:alessandro.ghio at unige.it> @unige.it
<mailto:alessandro.ghio at unige.it>

W http://smartlab.ws/
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