When educators are asked about their level of knowledge and command over computing and informatics, the usual answer is "user-level domain" at best. That level of command makes teachers skilled to apply regular ofimatics-like software tools to the non-minor task of designing learning courses. Course design and authoring is usually a form of creating a software artefact, for which a certain level of computing skill is required. But when it comes to creating software artefacts, the user-level of knowledge of regular computer tools falls short. Due to the immense diversity and dynamism of learning materials nowadays, authoring learning courses is actually a challenge, not to mention preparing the course to be deployed on diverse computing platforms (either the Web or smart mobile devices, for instance). A source of reluctance of teachers against informatics is that they are rarely able to formalize computer-based descriptions of intended courses as clear-cut processes that computers understand. In this vein, educational technologists have recently developed a great research effort in providing teachers, instructional designers and software engineers with appropriate utensils to readily formalize and deliver course designs, such that computers can eventually understand and run them on any platform. Teachers and educators can actually design learning experiences through Learning Design (LD) instruments, most of which are visual computer languages that aim to expedite authoring in a collaborative and timely fashion for all the people involved in the task. This talk will provide a panoramic and multidisciplinary view on Learning Design research issues, with a special focus on visual languages and tools that are successfully used in last years.
Juan Manuel Dodero is an associate professor of the University of Cádiz (Spain), where he is currently heading the Libre Software and Open Knowledge Unit. He has a PhD in Computer Science from the University Carlos III of Madrid and previously worked as an R&D engineer in Spanish companies. His main research fields is the Web Science and Engineering, with a principal focus on learning technology applications. He is author of diverse papers in indexed journals and communications in international conferences related with such research fields. He is currently leading diverse regional, national and european R&D projects for his University, related with the semantic web, software processes and learning technologies.