[on behalf of Delft Data Science] - last reminder to register – - for those that would like to join, but have not registered yet - Coming Monday, March 9 DDS Seminar Data Science: Speeding up the Online learning curve Monday 9 March 2015 – 9.30 to 14.00 Theaterzaal – Sports & Culture – TU Delft Mekelweg 8-10, 2628 CD Delft Delft Data Science (DDS) organizes a series of seminars. These seminars address the challenges and opportunities emerging from large quantities of heterogeneous, complex, networked and dynamic data influencing virtually all socio-economic domains. We aim to bring the main economic, industrial, societal and academic stakeholders together to jointly discuss how to address the challenges and optimally exploit the opportunities related to big data in the years to come. Speeding up the Online learning curve Open & Online education is a growing force in higher education. Platforms like EdX and Coursera offer a broad spectrum of Massive Open Online Courses. How do we keep learners engaged throughout a course and how do we assess if leaning goals have been achieved? The massive amount of data, produced by learners inside and outside the Massive Open Online Courses and the challenges for online assessment makes Online education a very interesting field for data science research. In this DDS seminar we will explore the research questions around learning analytics, gamification and online assessment. How can we build comprehensive learner models that provide fine-grained insights into learners' abilities, motivations, behaviour, knowledge and learning curves? For example a gaze-based indicator of students’ attention in a MOOC video lecture is proposed to define “with-me-ness” at two levels: perceptual, following teacher’s deictic acts; and conceptual, following teacher discourse. Experiences of gamification in the classroom give us food for thought for the use of gamification in the online learning environment. How can we use game-based learning to improve the learning outcomes? Assessment in online courses is now often done by multiple choice tests, but many instructors feel a need for automated assessment of “open” answers, designs, programs or other student materials. How can we achieve this? Can natural language processing and machine learning methods enhance online assignments and peer reviews? Will you join us for speeding up the Online learning curve? Program 9.30 Welcome/coffee 10.00 Opening by Claudia Hauff 10.15 Kshitij Sharma - EPFL | École polytechnique fédérale de Lausanne “Looking THROUGH versus looking AT” 10.35 Alexandru Iosup - Delft University of Technology (Dutch Teacher of the Year) “Gamification in the classroom” 10.55 Markus Krause - Leibniz Universität Hannover “Learning at Scale: Promises, Reality, and Vision” 11.15 Coffee Break 11.45 Heide Lukosch - Delft University of Technology “Game-based learning” 12.05 Eelco Visser - Delft University of Technology “Massive Online Assessment – beyond multiple choice” 12.25 Panel discussion followed by closing remarks by Claudia Hauff 13.00 Lunch with posters by companies and researchers Attendance Please, let us know of your presence via the registration link on Delft Data Science and share this invitation with interested colleagues or business relations. Registration is free of charge, and needed for catering purposes. At 14.00 the opening of the Open Education Week starts at the same location. To register for this event please see this link We are looking forward to welcoming you the 9th of March. Delft Data Science TU Delft - Faculty Electrical Engineering, Mathematics and Computer Science EWI/EEMCS- Building 36 Mekelweg 4 2628 CD Delft Postbus 5031 2600 GA Delft