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EdRecSys 2017 : 4th International Workshop on Educational Recommender Systems | |||||||||
Link: https://edrecsys2017.wordpress.com/ | |||||||||
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Call For Papers | |||||||||
------------------------ 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/ --------------------------------------------------------------------------- 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)* |
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