Learning analytics: Building bridges between the Education and the Computing communities

Updated: you now have until April 26th to submit a paper.

LABBEC 2019, Learning analytics: Building bridges between the Education and the Computing communities The Educational Data Mining (EDM) and Learning Analytics (LA) fields have generated a wealth of research over the last decade, including two yearly conferences and two scientific journals. This workshop aims to foster the dissemination of this research to the education community.  It will bring together researchers and practitioners to share their perspective on how this research has impacted the education field, and assess what lays ahead. Among the questions we wish to address is whether the two communities have a common perspective of the LA and EDM fields, and whether their expectations converge toward a common set of requirements.  We also would like to address the perceived contributions of LA/EDM to the Educational community and to the Technology Enhanced Learning field, including MOOCs and the range of applications that foster means of self-driven learning. Topics of interest, while not limited to, are:

  • Expectations of the educational community towards EDM
  • Role of psychometrics in EDM and vice-versa
  • EDM tools and methods in education
  • Statistical learning methods in psychometrics
  • Research divide between EDM and education and psychometrics
  • Obstacles to dissemination between communities
  • EDM in the education curriculum

This half-day workshop is the second edition of LABBEC, the first one being held at ITS2018. It will be part of the EDM2019 conference in Montreal on July 2.

Submission

  • Full Papers — 4000-6000 words. Should describe original, substantive, mature, and unpublished work.
  • Short Papers — 2400-4000 words. Should describe original, unpublished work. This includes early stage, less developed works in progress.
  • Student short papers. 1200-2000 words. Should describe an aspect of the graduate/postgraduate student’s research that relates to the general theme of the LABBEC workshop.
  • Demos. 1200-2000 words. Should describe a system, tool or prototype demonstrating an application of EDM or LA.

All papers should be formatted according to the EDM conference template:

and should be submitted to EasyChair at: https://easychair.org/conferences/?conf=labbec2019 Accepted submissions will be published in CEUR-WS.org.

Important dates

Papers submission April 26, 2019
Acceptance notification May 1, 2019
Final camera ready version May 20, 2019
Workshop date July 2, 2019

Venue

The workshop will be hosted by EDM2019 in Montreal, Canada.  Details about accomodations can be found at the main conference site.

Organizers

All the organizers are members of the GRIÉMÉtic, a research group specialized in educational measurement using information technologies: http://griemetic.ca/

  • Sébastien Béland is a young professor at Université de Montréal, connected with the international community of researchers in psychometrics.
  • Iris Bourgault Bouthillier is a Ph.D. student in educational measurement at Université de Montréal.
  • Michel Desmarais is a professor at Polytechnique Montreal, associate editor of the Journal of Educational Data Mining and founding member of the EDM Society.
  • Guillaume Loignon is a Ph.D. student in educational measurement at Université de Montréal.
  • Nathalie Loye is a professor at Université de Montréal and the head of GRIÉMÉtic.
Guillaume Loignon

Guillaume Loignon

Étudiant au doctorat

Iris Bourgault Bouthillier

Iris Bourgault Bouthillier

Étudiante au doctorat

Michel Desmarais

Michel Desmarais

École Polytechnique de Montréal

Nathalie Loye

Nathalie Loye

Université de Montréal

Sébastien Béland

Sébastien Béland

Université de Montréal


Below: archived 2018 schedule

Learning analytics: Building bridges between the Education and the Computing communities

Hosted by ITS 2018 – Half Day Workshop, June 11, 2018

The Learning Analytics (LA) and Educational Data Mining (EDM) fields have generated a wealth of research over the last decade, including two yearly conferences and two scientific journals. However, these topics are relatively new in the field of educational science. This workshop aims to bring together researchers and practitioners to share their perspective on how this research has impacted the education field.  Among the questions we wish to address is whether the two communities have a common perspective of the LA and EDM fields, and whether their expectations converge toward a common set of requirements.  We also would like to address the perceived contributions of LA/EDM to the Educational community and to the Technology Enhanced Learning field, including MOOCs and the range of applications that foster means of self-driven learning.

 

Schedule

Workshop presentation (9h00-9h05)

Sébastien Béland, Michel Desmarais & Nathalie Loye

 

Research papers on LA/EDM (9h05-10h15)

9h05-9h25: An enrollment admission strategy based on analytics data (Michel Desmarais)

9h25-9h50: Analyzing the relationships between learning analytics, educational data mining and AI for education (Hugues Labarthe, Vanda Luengo & François Bouchet)

9h50-10h15: A performance predictor for honors students based on Elman neural network (Moke Xu, Xuyang Chen & Wenjun Wu)

 

Applications of LA/EDM (10h15-11h00)

10h15-10h40: Learning analytics as applied to institutional program evaluation: demo of Program Anayltics Web App

10h40-11h00: Learning analytics as applied to supporting higher order formative assessments: demo of myDALITE

 

Round table on gaming and educational theory (11h00-12h00)

11h00-11h15: Putting the ‘Game’ at the centre of educational games: Implications for both research and development (Adam Dubé)

11h15-11h30: Limits and promises: effects of the Assassin’s Creed Discovery Tour on history learning (Marc-André Éthier, David Lefrançois & Catherine Déry)

11h30-12h00 : Questions

 

Organizers

All the organizers are members of the GRIÉMÉtic, a research group specialized in educational measurement using information technologies:

http://griemetic.ca/

Sébastien Béland is a young professor at Université de Montréal, connected with the international community of researchers in psychometrics. Michel Desmarais is professor at Polytechnique Montreal, associate editor of the Journal of Educational Data Mining, founding member of the EDM Society. Finally, Nathalie Loye is professor at Université de Montréal and the head of GRIÉMÉtic and editor of the journal “Mesure et évaluation en éducation”.