The above chapter readings include specific knowledge for EKs marked in bold. Work to include unmarked learning objectives in the CS Field Guide is currently in progress.
EK 3.1.2A Collaboration is an important part of solving data-driven problems.
EK 3.1.2B Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
EK 3.1.2C Communication between participants working on data-driven problems gives rise
to enhanced insights and knowledge.
EK 3.1.2D Collaboration in developing hypotheses and questions, and in testing hypotheses
and answering questions, about data helps participants gain insight and knowledge.
EK 3.1.2E Collaborating face-to-face and using online collaborative tools can facilitate processing information to gain insight and knowledge.
EK 3.1.2F Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
EK 3.1.3A Visualization tools and software can communicate information about data.
EK 3.1.3B Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
EK 3.1.3C Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
EK 3.1.3D Transforming information can be effective in communicating knowledge gained from data.
EK 3.1.3E Interactivity with data is an aspect of communicating.