Date Thursday, Dec 6 Time –
Data is the fuel to boost the knowledge economy - and learning analytics can help all stakeholders in education to monitor, predict and optimise the learning process. Opportunities and dangers of data-informed learning will be discussed by this Panel, organised by the eMadrid network in collaboration with the competen-sea project.
Carlos Delgado Kloos
Universidad Carlos III de Madrid, Spain
On the Promises and Dangers of Using Data to Inform Education
Carlos Delgado Kloos is Full Professor and Vice President for Strategy and Digital Education at the Universidad Carlos III de Madrid. He holds a Ph.D. degree in Computer Science from the Technische Universität München and in Telecommunications Engineering from the Universidad Politécnica de Madrid. Previously he has lectured at TU München, UP Madrid and Universität Passau. He has also been a Research Scholar at MIT and Harvard.
His main interest lies in the field of Educational Technology. He has participated in multiple national and international research projects, published in numerous conferences and journals, and managed international conferences. He is also the Holder of the UNESCO Chair on Scalable Digital Education for All and coordinator of the eMadrid network on eLearning in the region of Madrid. He is further the Spanish representative at TC3 about Education of IFIP (International Federation for Information Processing).
Manuel Freire Morán
Universidad Complutense de Madrid (UCM), Spain
Data-Driven Serious Games
Manuel Freire has a PhD in Computer Science from the Universidad Autónoma de Madrid (UAM). His research interests are centered on Information Visualization, Human-Computer Interaction, Online Learning and Serious Games. In 2008, he enjoyed a a postdoctoral Fulbright grant at the University of Maryland's HCIL. In 2010, he became a member of the e-
UCM research group at the Universidad Complutense de Madrid, where he is an Associate Professor since 2013.
Open Universiteit Nederland, The Netherlands
Getting the "Trust" into Trusted Learning Analytics
Maren Scheffel is an assistant professor within the Technology Enhanced Learning Innovations (TELI) department of the Open Universiteit’s Welten Institute, the Research Centre for Learning, Teaching and Technology. With a background in computational linguistics she started to work in the field of technology-enhanced learning in 2009 and has since then been involved in the coordination and management (ROLE, LACE, CompetenSEA) as well as the research work (ROLE, LinkedUp, LACE, SHEILA, CompetenSEA, SafePAT) of several European projects. For her PhD that she obtained from the Open Universiteit in 2017, she developed the Evaluation Framework for Learning Analytics (EFLA). Next to progressing this work further, her research now also delves into the connection of learning analytics and learning design as well as visualisation techniques for dashboards. Maren has organised workshops and conferences and has served as a reviewer for journal articles and conference papers on many occasions. She is member of the editorial board of the Journal of Learning Analytics, of the SoLAR SIG LACE and vice chair of the SURF SIG Learning Analytics.