<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-family: Calibri, sans-serif;"><p class="MsoNormal" style="font-size: medium; margin: 0cm 0cm 0.0001pt; font-family: Calibri; line-height: 18.200000762939453px;"><span style="line-height: normal; text-align: -webkit-auto; font-size: 15px;"><font face="Arial">We are re-circulating the CFP, as the previous one included a typo in the conference dates. </font></span></p><p class="MsoNormal" style="font-size: medium; margin: 0cm 0cm 0.0001pt; font-family: Calibri; line-height: 18.200000762939453px;"><span style="line-height: normal; text-align: -webkit-auto; font-size: 15px;"><font face="Arial">We apologize for the inconvenience.</font></span></p><p class="MsoNormal" style="font-size: medium; margin: 0cm 0cm 0.0001pt; font-family: Calibri; line-height: 18.200000762939453px;"><br></p><p class="MsoNormal" style="font-size: medium; margin: 0cm 0cm 0.0001pt; font-family: Calibri; line-height: 18.200000762939453px;"><span style="line-height: normal; text-align: -webkit-auto; font-size: 15px;"><font face="Arial">*** Apologies for cross posting ***</font></span></p><p class="MsoNormal" style="font-size: medium; margin: 0cm 0cm 0.0001pt; font-family: Calibri; line-height: 18.200000762939453px;"><span style="line-height: normal; text-align: -webkit-auto; font-size: 15px;"><font face="Arial"><br></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><font size="5"><b><span style="font-family: Calibri;">ESANN 2015 Special Session – "Advances in Learning Analytics and Educational Data Mining" - CALL FOR PAPERS</span></b><b><span style="font-family: Calibri;"> </span></b></font><span style="font-family: Calibri;"><font size="5"></font><span style="font-size: 18pt;"><u></u><u></u></span></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015). 22-24 April 2015, Bruges, Belgium – <a href="http://www.esann.org/" target="_blank">http://www.esann.org</a><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 15pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Submissions are invited for next year ESANN Special Session "Advances in Learning Analytics and Educational Data Mining". <u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri"><i>Organizers</i>: <u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Davide Anguita, Alessandro Ghio, Luca Oneto - University of Genoa, Genoa, Italy<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Mathias Funk, Matthias Rauterberg - Eindhoven University of Technology, Eindhoven, The Netherlands<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">ESANN 2015 Special Session "Advances in Learning Analytics and Educational Data Mining" webpage: <a href="http://esann2015.la.smartlab.ws/" target="_blank">http://esann2015.la.smartlab.ws</a><span style="color: rgb(0, 0, 233);"><u></u><u></u></span></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Smartlab webpage on Learning Analytics activities: <a href="http://la.smartlab.ws/" target="_blank">http://la.smartlab.ws</a><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri"><b>ABSTRACT</b><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">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.<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><b><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></b></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri"><b>TOPICS</b><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">In this special session, we would like to encourage submissions related to:<u></u><u></u></font></span></p><p style="margin-left: 18pt;"></p><ul><li><span style="font-family: Calibri; font-size: 15px;">the development of innovative LA/EDM techniques based on Machine Learning, Computational Intelligence, and Data Analytics approaches</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">the application of LA/EDM approaches to real-world problems, both in academic and corporate training domains</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">the development of new datasets for testing and validating innovative LA/EDM approaches</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">the development of protocols for improving LA/EDM applications and TEL usage</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">the development of Visual Analytics approaches to analyze and improve human-computer interaction with data gathered from TEL systems</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">techniques for learner profiling and adaptive recommender systems</span><br></li><li><span style="font-family: Calibri; font-size: 15px;">techniques for supporting new teaching styles and contemporary learning activities, as well as the analysis thereof.</span><br></li></ul><p></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri"><b>SUBMISSION & IMPORTANT DATES</b><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">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: (<a href="http://www.elen.ucl.ac.be/esann/index.php?pg=submission)" target="_blank"><span style="color: rgb(16, 60, 192); text-decoration: none;">http://www.elen.ucl.ac.be/esann/index.php?pg=submission)</span></a>. <u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Paper submission deadline : 21 November 2014<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">Notification of acceptance : 31 January 2015<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">ESANN 2015 conference : 22-24 April 2015<u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri"><b>NOTES</b><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><font face="Calibri">You can find details about the special session at <a href="http://esann2015.la.smartlab.ws/" target="_blank">http://esann2015.la.smartlab.ws</a>. If you have any questions concerning the special session, please do not hesitate to contact us via email to: <a href="mailto:la@smartlab.ws" target="_blank">la@smartlab.ws</a><u></u><u></u></font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><span style="font-size: 15px;"><u></u><font face="Calibri"> </font><u></u></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria; line-height: 18.200000762939453px;"><span style="font-size: 15px;"><font face="Calibri">More information about the Conference Program, accommodation facilities and registration fees is available on the ESANN website <a href="http://www.esann.org/" target="_blank">http://www.esann.org</a> </font></span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt;"><span style="font-size: 14pt; font-family: Calibri;"> </span></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><font face="Calibri" style="font-size: 15px;">---<br>Dr. Alessandro Ghio, Ph.D.<br><br>Research Fellow</font></p><p class="MsoNormal" style="margin: 0cm 0cm 0.0001pt; font-size: 12pt; font-family: Cambria;"><font face="Calibri" style="font-size: 15px;">Smartlab - Polytechnic School – University of Genoa<br>Via Opera Pia 11a, I-16145 Genoa (Italy)<br><br>T. +39-(0)10-3532192<br>F. +39-(0)10-3532897<br>@ <a href="mailto:Alessandro.Ghio@smartlab.ws" target="_blank" style="color: rgb(0, 0, 0);"></a><a href="mailto:alessandro.ghio@unige.it" target="_blank">Alessandro.Ghio</a><a href="mailto:alessandro.ghio@unige.it" target="_blank">@unige.it</a><br><br>W <a href="http://smartlab.ws/" target="_blank" style="color: rgb(0, 0, 0);">http://smartlab.ws/</a><br>---</font></p></body></html>