EDM	
  2015	
  Workshops	
  Proceedings	
  
       8th	
  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	
  
	
                                        	
  
                             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