3rd Annual Learning & Student Analytics

Conference

An Ethical Vision of Learning Analytics

Individuals VS Community

#LSAC2019

Université de Lorraine / Loria

Lab. Loria, Campus Scientifique, 54506 Vandoeuvre-lès-Nancy, France

Save the date : 22-23 October 2019

Loria - Université de Lorraine - The place to be !

Scope

The Learning & Student Analytics Conference (LSAC) 2019 aims at bringing together researchers from a number of disciplines (e.g. education, artificial intelligence, computer science, management, psychology, ergonomics, economics, IT security, data governance…), practitioners, students, policy makers and companies to share and discuss the latest research insights related to Learning Analytics. The conference further provides a platform for stakeholders to engage in critical conversations about current trends and policy requirements.
After two editions in the Netherlands, the 2019 edition of the conference moves to France and is organized at Loria, Université de Lorraine. This year the conference programme will give particular attention to the crucial question of equity and ethics in higher education and will focus on individuals versus communities. Therefore, academics and practitioners alike, who are interested in such topics should consider submitting an abstract and attending this event.
The conference aims at stimulating discussion on these timely topics to discuss Learning Analytics applications aiming to visualise learning activities, access learning behaviour, predict student performance, individualize learning, evaluate social learning and improve learning materials and tools. The conference is structured around three tracks :

  • Academic research (theory, data, methods, assessment)
  • Policy debates
  • Practitioner sessions

One of the conference topics is ethics. Indeed, because of the impact of its introduction into the educational environment, the sensitivity of the data on which it is based and the algorithms it uses, the LA do not escape from the ethic and moral issues.
Paul Ricoeur writes this : "It is by convention that I will reserve the term of "ethics" for the purpose of a life accomplished under the sign of the actions considered good, and that of "moral" for the obligatory side, marked by norms, obligations, prohibitions characterized by both a requirement of universality and an effect of constraint. "
Ethics by design is a general approach (found in the field of human organizations, such as digital design and specially in AI based approach) and which aims to answer globally issues related to both ethic and legal.

The following topics are also welcome :

  • Individuals versus communities : What is a community ? What communities does education meet? What characterises an individual in his community ?
  • From individuals to communities : What can an individual bring to his community ?
  • From community to individuals : What can we use from the community to help individuals ?
  • Dashboards
  • Experiments

Register and Abstracts

Keynoters - Panelists - Speakers

Keynoters

Agathe Merceron

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Agathe Merceron

Agathe Merceron is Professor of Computer Science at the Beuth University of Applied Sciences Berlin. She is the head of the Media Informatics Online Bachelor's and Master's degree programs. Her research interests lie in Technology Enhanced Learning with a focus on Educational Data Mining and Learning Analytics. She is nationally and internationally involved in these areas and has served as program-chair for both the international conference on Educational Data Mining (EDM) and the international conference of Learning Analytics and Knowledge (LAK); she is Associate Editor of the Journal of Educational Data Mining.


Keynote : Imperfection in Learning Analytics

Learning analytics is defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs”. However, the results of our analyses are not perfect. Prediction of marks or of drop-out for example, has almost never an accuracy of 100%. Kitto, Buckingham Shaw and Gibson ask an important question: “It is usually assumed to be important that classifiers be accurate, as otherwise a student will be subjected to inappropriate interventions. However, such a position leaves us in a dilemma; are we to wait until perfect accuracy is achieved?” (LAK 2018). In this talk, I will present research work that is confronted with this dilemma.

Han van der Maas

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Han van der Maas

Han van der Maas (1966) studied Psychology at the University of Amsterdam and received his Ph.D in 1993 for research on methods for the analysis of phase transitions in cognitive development. In 2005 he became professor and chair of Psychological Methods group at the University of Amsterdam. In 2009 he founded Oefenweb.nl, a spin-off company of the UvA-holding, selling a unique online adaptive learning and monitoring game platform for children. The data has been used for numerous publications and several dissertations. His research focuses on formalizing and testing psychological theories in areas such as cognition, expertise, development, attitudes and intelligence. His 2006 paper on the mutualism model of general intelligence was the start of the network psychometric approach that has become very popular in different areas of psychology.


Keynote : Learning analytics in online adaptive training and monitoring systems

We developed Math Garden in order to collect highly frequent and reliable data on children’s cognitive development. Participants do their daily practice in our online adaptive learning environment, meaning that they always do exercises adapted to their own ability level. This accurate adaptability was achieved by developing a novel adaptive algorithm based on the Elo rating system for chess, where item difficulties and student abilities are estimated on the fly.There are numerous benefits of this approach. First, it is relatively cheap to build such systems as item difficulties do not have to be pretested. Second, our learning analytics are based on the highest quality measurement scales available in educational measurement. Third, we create a win-win-win setup. Children like to play our games and practice relevant materials, teachers do not have to grade exercises and are provided with detailed learning analytics, and researchers get access to a rich database on cognitive development. Math Garden is used by about 200,000 children in the Netherlands. We collect about 1 million item responses per day, and we published over 30 peer-reviewed papers using Math Garden data. In this talk I will introduce the Math Garden approach, present results, and discuss new developments such as randomized double blind experiments and new learning analytics based on mouse tracking.

Andrew Cormak

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Andrew Cormak

Andrew Cormak's current role is to keep Jisc technologies and Janet Network connected organisations informed about the legal, policy and security issues around networks and networked services.

Celia Zolinski

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Celia Zolinski

Celia Zolinski is currently working at the Sorbonne Right School and at the Sorbonne Juridic Research Institute. Her research themes fall below :

  • Digital right
  • Intellectual property right
  • European Union right
  • Market right
  • Fundamental freedom





Panelists

Coming Soon !

Vanda Luengo

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Vanda Luengo

Vanda Luengo is a full Professor from the Campus Pierre et Marie Curie Sorbonne Université. She is part of the LIP6 MOCAH team.

Maria Rodriguez

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Maria Jesus

María Jesús Rodríguez-Triana received her PhD for her thesis on learning design and learning analytics applied to computer-supported collaborative learning. In 2014, she joined the REACT group at École Polytechnique Fédérale de Lausanne (EPFL, Switzerland) as a postdoctoral fellow. Since 2016, she is also a senior researcher at the Centre of Excellence in Educational Innovation of Tallinn University (Estonia). She has been involved in educational research projects dealing with the application of learning analytics in virtual learning environments to support teacher professional developement and to reinforce different pedagogical approaches.

Speakers

Coming Soon !

Agathe Merceron

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Agathe Merceron

Dr. Agathe Merceron is professor of Computer Science at Beuth University of Applied Sciences. She is responsible for the on-line degrees Bachelor and Master "Computer Science and Media". Her current research interests include Information Systems and Knowledge Management, application to E-learning, Technology Enhanced Learning, Educational Data Mining and Learning Analytics.

Vanda Luengo

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Vanda Luengo

Vanda Luengo is a full Professor from the Campus Pierre et Marie Curie Sorbonne Université. She is part of the LIP6 MOCAH team.

Maria Rodriguez

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Maria Jesus

María Jesús Rodríguez-Triana received her PhD for her thesis on learning design and learning analytics applied to computer-supported collaborative learning. In 2014, she joined the REACT group at École Polytechnique Fédérale de Lausanne (EPFL, Switzerland) as a postdoctoral fellow. Since 2016, she is also a senior researcher at the Centre of Excellence in Educational Innovation of Tallinn University (Estonia). She has been involved in educational research projects dealing with the application of learning analytics in virtual learning environments to support teacher professional developement and to reinforce different pedagogical approaches.



Registration

Registration is now possible.

The full registration costs for the 2-day LSAC conference will be 120 euro. This includes the conference dinner, lunches and refreshments during the meeting. For Master and PhD-students, a reduced fee of 80 euro is available, conditional upon being able to present a valid student ID card at the conference’s registration desk.





Call For Papers

The Learning & Student Analytics Conference (LSAC) 2019 will bring together researchers from several disciplines (e.g. education, artificial intelligence, computer science, management, psychology, ergonomics, economics, IT security, data governance, …) and a number of stakeholders (e.g. practitioners, students, teachers, managers, policy makers, companies, …) to share and discuss the latest research insights related to Learning Analytics. The conference will provide a key platform for stakeholders to engage in critical discussions about current trends and policy requirements.

The 2019 edition will take place in Nancy (France), at Loria, Université de Lorraine.

The main themes of this year’s conference are equity and ethics in higher education, with a specific focus on individuals versus communities.

The conference is structured around three tracks :

  • Academic research (theory, data, methods, assessment)
  • Policy debates
  • Practitioner and industrial sessions

Works related to the following topics, but not limited to, are welcome :

  • Personalised learning and individual learning support
  • Learning community support
  • Pro-active, goal oriented learning support
  • Connecting learning to society and the labour market
  • LA policies
  • Learning activities visualization
  • Data mining and LA
  • Effects of LA on learning behaviour
  • Effects of LA on assessment
  • Student performance prediction
  • Social learning evaluation, learners interaction
  • Learning materials and tools improvement
  • Ethics and privacy in LA
  • Affective and emotional states of learners
  • Student engagement
  • Student support and advisory
  • Individuals and communities
  • Dashboards for learners or instructors
  • Learning Analytics implementation

The organisers welcome extended abstracts (maximum 750 words) for each of the sessions. All submissions should follow this template.

Extended abstracts will be published in an open access repository accessible HERE (OPENING SOON).

Some of these extended abstracts will be selected for an extended version and will be published in an open access.

Livre

Hackathon

We are organising the LSAC 2019 Hackathon.

GitHub Page (OPENING SOON)
LSAC 2019 Tickets

Hackathon Programme

Hackaton_Programme Download Hackathon Programme

Topics

COMING SOON !

Registration

  • Registration starts: June, 2019
  • Register and payment: LSAC 2019 Tickets
  • Conference: October 22-23, 2019
  • Hackathon: October 24-25, 2019

LORIA




Location

Lab. Loria
Campus Scientifique
54506 Vandoeuvre-lès-Nancy

More info

Hotel Information

Visitor center

Organising Committee

Anne Boyer

Armelle Brun

Azim roussanaly

Geoffray Bonnin

Sylvain Castagnos

Yacine Abboud

Oriane Dermy

Benjamin Gras

Alexandre Bettinger

Nathalie Bussy

Olivia Brenner

Programme Committee

Agathe Merceron, Beuth, Germany

Ilja Cornelisz, Vrije Universiteit Amsterdam, Netherlands

Chris van Klaveren, Vrije Universiteit Amsterdam, Netherlands

Gábor Kismihók, TIB Hannover, Germany

Ian Dolphin, Apereo

Alan Berg, University of Amsterdam , Netherlands

Stefan T. Mol, University of Amsterdam, Netherlands

Peggy Valcke, University of Amsterdam, Netherlands

Andrew Cormack, JISC

Celia Zolynski, Sorbonne Right School/Juridic Research Institute, France

Vanda Luengo, Paris Sorbonne, France

Maria Jesus Rodriguez Triana, Tallin University, Estonia

Hendrick Drachsler, LIRIE, Germany

Martin Hlosta, The Open University, UK

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LORIA