
DILAN is an Erasmus + funded project that has developed a MOOC to support the development of EU researchers’ online communication competences. In this presentation we seek to provide an overview of the DILAN MOOC: what will you learn; how will you learn; how will know that you have learned. The contents and competences of this course include writing texts to meet diversified online (i.e. experts and non-experts). Course participant will gain background knowledge on digital genres such as the lay summary, infographic, tweetorial, and graphic abstract including noticing their features and communication strategies for audience engagement. The learning experience is enhanced by grouping content into small, bite-sized, modules. This will facilitate integration of learning into everyday routine, as well as skills transfer by drawing on previous academic writing experience to craft new digital genres. A variety of resources enrich the learning itinerary: video tutorials, short explanations and up-to-date examples, among others. Learning assessment relies on short quizzes and wrap-up sections that foster reflection and awareness of skills. All in all, the DILAN MOOC is suitable for everyone: participants can choose their own path, move freely around the course and explore digital genres, or get started into their own project.
digital science communication, DILAN, MOOC, training course
digital science communication, DILAN, MOOC, training course
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
