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EdRecSys 2016 : International Workshop on Educational Recommender Systems | |||||||||||||||
Link: https://edrecsys.wordpress.com/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Recommender systems have been developed to alleviate information overload, aid user decision-making, and achieve different forms of personalization. Their effectiveness and usability have been demonstrated in a number of applications, including e-commerce, movies, music, travel, and social networks. The same information filtering and personalization needs are now arising in the area of educational experiences and resources. The educational learning environment is no longer limited to in-class lectures, both teaching and learning can be taken place on the Web. For example, Technology Enhanced Learning (TEL) and Massive Open Online Courses (MOOC) are two of the most popular applications that can benefit from the application of recommendation technology. Other popular applications related to recommenders in the educational domain include book recommendations for school-aged readers (i.e., K-12) as well as and the recommendation of informal learning programs.
A variety of recommendation techniques can be used to assist educational recommendations, such as semantic or content-based recommender systems, transfer learning, or collaborative intelligence. Traditional strategies, however, are not sufficient in within the academic environment, as the generated suggestions are based on needs and expectations beyond user/content similarity/historical data. The availability of more heterogeneous information (such as friendships, fellowships, social media, interactions across multiple devices, user behaviors on multiple categories of items or activities) increases the demand to (i) effectively leverage these information sources to learn how they can interact in identifying suitable items to recommend and influence users’ preferences in the educational recommender systems, and (ii) exploit these information to better suggest appropriate items (e.g., books, courses, programs, degrees, activities) to the end users. The International Workshop on Educational Recommender Systems (EdRecSys) is a follow-up of the previous Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL): RecsysTEL 2010: 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). In conjunction with the 4th ACM Conference on Recommender Systems (RecSys 2010) and the 5th European Conference on Technology Enhanced Learning (EC-TEL 2010). Barcelona, Spain, 29-30 September 2010. http://adenu.ia.uned.es/workshops/recsystel2010/ RecsysTEL 2012: 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2012). In conjunction with the 7th European Conference on Technology Enhanced Learning (EC-TEL 2012). University of Saarbrücken (Germany), 18 – 19 September 2012. http://adenu.ia.uned.es/workshops/recsystel2012/ The 3rd International Workshop on Educational Recommender Systems (EdRecSys) will be a half-day workshop held in conjunction with the 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI’ 16), October, 2016, in Omaha, USA. The workshop aims to provide a dedicated forum for discussing open problems, challenges, applications and innovative research approaches in fusing different resources and information for the design and development of effective educational recommender systems. Furthermore, the workshop will feature invited speakers and/or panel discussions which will focus on interesting aspects, controversial issues, or unsolved problems related to educational recommender systems. The scope of this workshop includes, but is not limited to: Applications of Educational Recommender Systems Academic (e.g., academic programs, degrees or courses ) recommendations Recommendation of informal learning opportunities Book recommendations Scholar/Paper/Citation recommendations Recommendations in Massive Open Online Courses (MOOC) Recommendations in Technology Enhanced Learning (TEL) Recommendations of materials for ESL users Recommendations of K-12 educational search queries Recommendations of materials for non-traditional student Affective computing in educational recommender systems Methodologies for Educational Recommender Systems Educational Data Mining and Machine Learning Semantic or content-based recommendations Group/context-aware/trust-based/Cross-domain Recommendation Affective/Emotion-aware Recommendation Recommendation based on collaborative intelligence Recommendation based on social networks or knowledge graphs Recommendation based on transfer learning Recommendations based on readability levels Recommendations based on experts’ knowledge Data Analytics and User Modeling for Educational Recommender Systems Publicly available data sets for educational or TEL recommender systems Information fusion for educational or TEL recommendation Evaluation criteria and methods for educational or TEL recommender systems User modeling for educational or TEL recommender systems Paper submissions should be limited to a maximum of 4 pages (IEEE-CS format, extra payment is only available for one more extra page). The papers must be in English and should be formatted according to the IEEE 2–column format. The IEEE 2-column format and guidelines can be found at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html We accept two types of submissions: Research Papers (4 pages): present original research work which should report on substantial contributions of lasting value. Position Papers (2 pages): Discuss exciting new work that is not yet mature, or open challenges in promising research directions. We also accept papers presenting late-breaking research results and speculative or innovative work in progress. All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. The accepted papers will be included in the Workshop Proceedings published by the IEEE Computer Society Press. The workshop only accepts online submissions. Submission system: https://wi-lab.com/cyberchair/2016/wi16/scripts/submit.php?subarea=S04&undisplay_detail=1&wh=/cyberchair/2016/wi16/scripts/ws_submit. Important Dates (Tentative) Submission Deadline: June 1, 2016 Acceptance Notification: June 25, 2016 Camera-Ready Deadline: July 9, 2016 Workshop Date: October 13, 2016 Conference Date: October 13-16, 2016 Workshop Co-Chairs Olga C. Santos, UNED, Spain Yong Zheng, DePaul University, USA Sole Pera, Boise State University, USA Robin Burke, DePaul University, USA Guibing Guo, Northeastern University, China Steering Committee Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation, Greece Hendrik Drachsler, Open Universiteit Nederlands, The Netherlands Katrien Verbert, Katholieke Universiteit Leuven, Belgium Publicity Chair Yong Zheng, DePaul University, USA Program Committee (to be completed) Maria Bielikova, Slovak University of Technology, Slovak Peter Brusilovsky, University of Pittsburgh, USA Hana Bydzovska, Masaryk University, Czech Republic Min Chi, North Carolina State University, USA Michael Ekstrand, Boise State University, USA Jonathan Gemmell, DePaul University, USA Zhao Kang, Southern Illinois University, USA Pythagoras Karampiperis, National Centre for Scientific Research Demokritos, Greece & Agroknow, Belgium Estefania Martín, Universidad Rey Juan Carlos, Spain Noboru Matsuda, Texas A&M University, USA Cataldo Musto, University of Bari, Italy Dennis Ng, Brigham Young University, USA Weike Pan, Shenzhen University, China Denis Parra, Pontifical Catholic University of Chile, Chile Marko Tkalcic, Free University of Bozen-Bolzano, Italy |
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