ST EK List:
3.1.1A Computers are used in an iterative and interactive way when processing digital information to gain insight and knowledge.
3.1.1B Digital information can be filtered and cleaned by using computers to process information.
3.1.1C Combining data sources, clustering data, and data classification are part of the process of using computers to process information.
3.1.1D Insight and knowledge can be obtained from translating and transforming digitally represented information.
3.1.1E Patterns can emerge when data is transformed using computational tools.
3.1.2A Collaboration is an important part of solving data driven problems.
3.1.2B Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
3.1.2C Communication between participants working on data driven problems gives rise to enhanced insights and knowledge.
3.1.2D Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
3.1.2E Collaborating face-to-face and using online collaborative tools can facilitate processing information to gain insight and knowledge.
3.1.2F Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.2.1A Large data sets provide opportunities and challenges for extracting information and knowledge.
3.2.1B Large data sets provide opportunities for identifying trends, making connections in data, and solving problems.
3.2.1C Computing tools facilitate the discovery of connections in information within large data sets.
3.2.1D Search tools are essential for efficiently finding information.
3.2.1E Information filtering systems are important tools for finding information and recognizing patterns in the information.
3.2.1F Software tools, including spreadsheets and databases, help to efficiently organize and find trends in information.
3.2.2A Large data sets include data such as transactions, measurements, text, sound, images, and video.
3.2.2B The storing, processing, and curating of large data sets is challenging.
3.2.2C Structuring large data sets for analysis can be challenging.
3.2.2D Maintaining privacy of large data sets containing personal information can be challenging.
3.2.2E Scalability of systems is an important consideration when data sets are large.
3.2.2F The size or scale of a system that stores data affects how that data set is used.
3.2.2H Analytical techniques to store, manage, transmit, and process data sets change as the size of data sets scale.