------------------------ Call for Papers ----------------------------------

4th International Workshop on Educational Recommender Systems (EdRecSys 2017)

In conjunction with the 25th Conference on User Modeling, Adaptation
and Personalization (UMAP 2017), http://www.um.org/umap2017/
9-12th July, 2017 at Bratislava, Slovakia

Submission deadline: April 20, 2017 (11.59pm Hawaii time)

Workshop website: https://edrecsys2017.wordpress.com/

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Scope
-----
The EdRecSys 2017 workshop aims to bring together researchers and
practitioners from the areas of user modeling and personalization,
recommender systems, education, data mining, learning analytics,
intelligent tutoring systems and other related disciplines, to explore
the use of recommender systems in education, share their experience
and discuss the challenges and open research topics in the design and
deployment of effective solutions. It builds on the success of the
previous EdRecSys 2016, RecSysTEL 2010 and RecSysTEL 2012 workshops
and is the fourth workshop in the series.

Recommender systems have become increasingly popular in recent years,
helping us to make decisions about what products to buy, what movies
to watch, what books to read or who to date. While these systems have
shown their effectiveness in e-commerce, music and social networks,
the field of education is an emerging and very promising application
area. The educational environment is no longer limited to face-to-face
classes; it includes online learning and activities using Technology
Enhanced Learning (TEL), Learning Management Systems (LMS) and Massive
Open Online Courses (MOOC), all of which can benefit from the
application of recommender systems to alleviate information overload
and improve personalisation, to better meet the needs of the
individual student. For example, high school and university students
can be provided with recommendations about suitable degrees and
courses, based on their background, preferences and prior experience;
project and thesis topics and supervisors, internships and jobs, other
students to work or study with in a group, suitable learning resources
based on their knowledge and skills (e.g. books, tutorials,
activities, etc.).

Topics include (but are not limited to):
-Algorithms for making recommendations in education (e.g.
content-based, collaborative filtering, hybrid, context-aware)
-User modelling for recommendations in education
-Preference extraction and learning for making recommendations in education
-Item recommenders (e.g. courses, degrees, thesis topics, learning
resources, jobs, internships)
-People recommenders (teammates, friends, supervisors)
-Evaluation of recommender systems in education
-Emotion and personality-based recommender systems in education
-Data mining and learning analytics of recommender systems in
education (e.g. for understanding the student characteristics,
expectations, aspirations and behavior)
-Privacy and security of recommender systems in education
-Case studies of real-world implementations, e.g. in TELs, LMSs and MOOCs
- Matchmaking between graduating students and potential employers' ads


Submission Details and Publication
----------------------------------

EdRecSys 2017 will include high quality papers discussing relevant
issues related to the workshop topics.

Papers must be formatted using the ACM SIG proceedings template and
submitted via EasyChair. Submissions should not exceed 6 pages
(excluding references). Note that ACM changed its templates at the
beginning of 2017, so please make sure that you use new template that
is linked to the UMAP website (Submission ACM Standard SIGCONF
templates: http://www.acm.org/publications/proceedings-template).

Easychair submission site: https://easychair.org/conferences/?conf=3Dedrecs=
ys2017

Each submission will be reviewed by at least 3 PC members. Accepted
papers will be included in the ACM Extended Proceedings of UMAP 2017.


Important Dates
---------------
April 20, 2017: Workshop papers submission (11.59pm, Hawaii time)
May 20, 2017: Notification to authors
May 26, 2017: Author registration
May 28 2017: Camera-ready version of workshop papers
July 9, 2017: Workshop day at the UMAP conference


Organizing Committee
--------------------
Kurt Driessens, University of Maastricht, The Netherlands
Irena Koprinska, University of Sydney, Australia
Olga C. Santos, Spanish National University for Distance Education, Spain
Evgueni Smirnov, University of Maastricht, The Netherlands
Kalina Yacef, University of Sydney, Australia
Osmar Zaiane, University of Alberta, Canada


Program Committee
-----------------
Jos=C3=A9 Luis Balc=C3=A1zar, BarcelonaTech, Spain
Jesus Boticario, Spanish National University for Distance Education, Spain
Francois Bouchet, University of Paris 6, France
Robin Burke, DePaul University, USA
Hendrik Drachsler, Open University of the Netherlands, The Netherlands
Mehdi Elahi, Free University of Bozen-Bolzano, Italy
Sabine Graf, Athabasca University, USA
Guibing Guo, Northwestern University, China
Judy Kay, University of Sydney, Australia
Pythagoras Karampiperis, Agroknow Technologies, Greece
Amruth Kumar, Ramapo College of New Jersey, USA
Agathe Merceron, Beuth University of Applied Sciences, Germany
Mykola Pechenizkiy, Eindhoven University of Technology, The Netherlands
Sole Pera, Boise State University, USA
Mimi Recker, Utah State University, USA
Sergey Sosnovsky, German Centre for Artificial Intelligence, Germany
Jerry Spanakis, University of Maastricht, The Netherlands
Marko Tkal?i?, Free University of Bozen-Bolzano, Italy
Katrien Verbert, Catholic University Leuven, Belgium
Yong Zheng, Illinois institute of Technology, USA

Contact
-------edrecsys2017@easychair.org


*KALINA YACEF *| Associate Professor
Faculty of Engineering & IT, School of Information Technologies
Charles Perkins Centre

*THE UNIVERSITY OF SYDNEY*
Rm 317, School of IT Building | The University of Sydney | NSW | 2006
*T* +61 2 9351 6098 | *F* +61 2 9351 3838
*E* kalina.yacef@sydney.edu.au | *W **http://sydney.edu.au/it/~kalina
(http://sydney.edu.au/it/%7Ekalina)*