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EDM  2015  Workshops  Proceedings  

8

th

 International  Conference  on  Educational  Data   Mining  

(EDM  2015)  

Madrid,  Spain  –  June  26-­‐29  2015    

 

Edited  by  

 

Kaśka  Porayska-­‐Pomsta   UCL  Institute  of  Education,  UK    

Katrien  Vebert   KU  Leuven,  Belgium  

   

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EDM  2015  Workshops  Proceedings  

   

Preface    

This  volume  compiles  the  papers  accepted  for  publication  in  the  two  workshops  taking   place  during  the  8th  International  Conference  in  Educational  Data  Mining  (EDM  2015).    

The   third   workshop   is   collocated   with   the   17th   International   Conference   on   Artificial   Intelligence  in  Education.      This  is  the  second  year  in  which  call  for  workshops  has  been   issued   under   the   auspices   of   the   Educational   Data   Mining   conference.     The   fact   that   workshops   submitted   to   EDM   and   AIEd   conferences   are   collocated   is   not   incidental,   demonstrating  a  complementarity  and  common  roots  of  the  two  research  disciplines.  

 

The  purpose  of  the  EDM  workshops  is  to  provide  targeted  forum  for  academics,  industry   experts,  and  other  interested  parties  to  present  and  critique  existing  state  of  the  art  in   EDM   and   to   generating   novel   ideas   of   relevance   to   Educational   Data   Mining.     EDM   requires   adapting   existing   approaches   or   developing   new   approaches   that   build   upon   techniques   from   a   combination   of   areas,   including   but   not   limited   to   statistics,   psychometrics,   machine   learning,   information   retrieval,   recommender   systems,   and   scientific  computing.  Given  its  focus  on  Education  EDM  represents  a  unique  data  science   in  that  first  and  foremost  its  concerned  is  interpreting  data  for  the  specific  purpose  of   informing  education  be  it  technology  enhanced  or  otherwise.  

 

The  workshops  held  in  conjunction  with  the  8th  EDM  and  17th  AIEd  conferences  include:  

 

Graph-­‐based  Educational  Data  Mining  

Organisers:  Collin  F.  Lynch,  Tiffany  Barnes,  Jennifer  Albert,  Michael  Eagle    

Tools  and  Technologies  in  Statistics,  Machine  Learning  and  Information  Retrieval   for  Educational  Data  Mining  

Organisers:  Marian  Cristian  Mihăescu,  Mihai  Mocanu,  Costel  Ionascu,  Mirel  Cosulschi    

International  Workshop  on  Affect,  Meta-­‐Affect,  Data  and  Learning  

Organisers:  Genaro  Rebolledo-­‐Mendez,  Manolis  Mavrikis,  Olga  C.  Santos,  Benedict  du   Boulay,  Beate  Grawemeyer  and  Rafael  Rojano-­‐Cáceres  

 

Two  tutorials  are  also  held  at  the  EDM  and  these  include:  

 

Using  Natural  Language  Processing  Tools  in  Educational  Data  Mining   Organisers:  Scott  Crossley,  Laura  Allen,  Danielle  McNamara  

 

Student  Modeling  Applications,  Recent  Developments  &  Toolkits  

Organisers:  José  González-­‐Brenes,  Kai-­‐Min  Chang,  Michael  Yudelson,  Yoav  Bergner,     Yun  Huang  

 

We   would   like   to   thank   all   workshop   organisers   for   their   involvement   in   the   organisation   of   the   workshops   and   their   cooperation,   as   well   as   their   efforts   in   attracting  contributions  and  participants  to  their  workshops.  

 

             

Kaśka  Porayska-­‐Pomsta  &    Katrien  Verbert  

 

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