International Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL-2017)

We welcome research presentations on the following topics, or related subjects of interest:

• Technologies of web-based dialogue: How can collaborative systems contribute to meaningful dialogues and plurilogues, making multiple voices audible, memorable, and harmonizing them in conversation? For example, how does technology and social organization shape the functioning of online Q&A communities (Quora, StackExchange, Yahoo!Answers etc.)? How do participants in various settings (laboratories, classrooms, industry, peer review systems) organize dialogue and learn with others through web-based interaction?

• Learning from feedback: How do various actors learn from comments, ratings, sharing, upvotes and other forms of online feedback? (eg. individuals engaged in online writing, selling, buying, searching for information etc.; online communities; organizations and teams delivering services or attempting to create novel products);

• Persuasive technologies: How do persuasive systems orient users’ actions? Which are their implicit models of action, and how do people take them over in situated use?

• Collaborative technologies of the self: How do people use collaborative systems of quantification and comparison with peers in order to monitor and change their ways of being in the world – such as in the Quantified Self movement, through diverse platforms and apps supporting behavior change and self-control?

• Collaboration across worlds: How can collaborative systems bring together participants from different social worlds – bridging cultures, professions, disciplines, common and expert knowledge, and other divides?

• Working with distributed knowledge: How can we use technologies to harness the wealth of information and computing power available nowadays? How can collaborative systems rely on distributed knowledge to converge towards a workable, actionable interpretation of evidence? How can we deal with distributed and potentially conflicting data – memories, experiences, perspectives, and explanations?

• Extending cognition: How do collaborative technologies enhance human abilities to make sense of problematic situations? How can we evaluate gains and limitations of collaborative systems?

• Learning by doing in online collaborative settings: What have we learned through various projects and programs of computer-supported collaborative learning and knowledge-making? When is technology successful in structuring enriching interactions? What are the risks and limitations of computer-mediated or computer-enhanced collaboration?