Connectionists: "Advances in Learning Analytics and Educational Data Mining" - CFP ESANN 2015

[Alessandro Ghio]

***     Apologies for cross posting     ***


*ESANN 2015 Special Session – "Advances in Learning Analytics and
Educational Data Mining" - 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 students’
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
students’ 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).



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



---
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 at smartlab.ws>Alessandro.Ghio <alessandro.ghio at unige.it>
@unige.it <alessandro.ghio at unige.it>

W http://smartlab.ws/
---
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20141022/90a6490c/attachment.html>