Reading and Collaboration

The introduction of digital media into university writing courses, while leading to innovative ideas on multimedia as a rhetorical enhancement means, has also resulted in profound changes in writing pedagogy at almost all levels of its theory and practice. Because traditional approaches to examining and discussing assigned texts in the classroom were developed to help students analyze different genres of print-based texts, many university educators find these methods prohibitively deficient when applied to digital reading environments. Even strategies in reading and text annotation need to be reconsidered methodologically in order to manage effectively the ongoing shift from print to digital or electronic media formats within first year composition. The current study proposes one of the first and most extensive attempts to analyze fully how students engage with digital modes of reading to demonstrate if and how students may benefit from reading digital texts using computer-assisted text analysis (CATA) software

Human-data interaction in healthcare

In this chapter, we focus on an emerging strand of IT-oriented research, namely Human-Data Interaction (HDI) and on how this can be applied to healthcare. HDI regards both how humans create and use data by means of interactive systems, which can both assist and constrain them and the operational level of data work, which is both work on data and by data. Healthcare is a challenging arena where to test the potential of HDI towards a new, user-centered perspective on how to support and assess “data work”. This is especially true in current times where data are becoming increasingly big and many tools are available for the lay people, including doctors and nurses, to interact with health-related data. This chapter is a contribution in the direction of considering health-related data through the lens of HDI, and of framing data visualization tools in this strand of research. The intended aim is to let the subtler peculiarities among different kind of data and of their use emerge and be addressed adequately. Our point is that doing so can promote the design of more usable tools that can support data work from a user-centered and data quality perspective and the evidence-based validation of these tools