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Standard:
Compare multiple programming languages, and discuss how their features make them suitable for solving different types of problems.

Descriptive Statement:
Particular problems may be more effectively solved using some programming languages than other programming languages. Students provide a rationale for why a specific programming language is better suited for a solving a particular class of problem. For example, students could explain how a language with a large library base can make developing a web application easier. Alternatively, students could explain how languages that support particular programming paradigms (e.g., object-oriented or functional) can make implementation more aligned with design choices. Additionally, students could discuss how languages that implement garbage collection are good for simplicity of memory management, but may result in poor performance characteristics.

Standard:
Select and use data collection tools and techniques to generate data sets.

Descriptive Statement:
Data collection and organization is essential for obtaining new information insights and revealing new knowledge in our modern world. As computers are able to process larger sets of data, gathering data in an efficient and reliable matter remains important. The choice of data collection tools and quality of the data collected influences how new information, insights, and knowledge will support claims and be communicated. Students devise a reliable method to gather information, use software to extract digital data from data sets, and clean and organize the data in ways that support summaries of information obtained from the data. At this level, students may, but are not required to, create their own data collection tools. For example, students could create a computational artifact that records information from a sonic distance sensor to monitor the motion of a prototype vehicle. Alternatively, students could develop a reliable and practical way to automatically digitally record the number of animals entering a portion of a field to graze. Additionally, students could also find a web site containing data (e.g., race results for a major marathon), scrape the data from the web site using data collection tools, and format the data so it can be analyzed.

Standard:
Use data analysis tools and techniques to identify patterns in data representing complex systems.

Descriptive Statement:
Data analysis tools can be useful for identifying patterns in large amounts of data in many different fields. Computers can help with the processing of extremely large sets of data making very complex systems manageable. Students use computational tools to analyze, summarize, and visualize a large set of data. For example, students could analyze a data set containing marathon times and determine how age, gender, weather, and course features correlate with running times. Alternatively, students could analyze a data set of social media interactions to identify the most influential users and visualize the intersections between different social groups.

Standard:
Evaluate computational artifacts with regard to improving their beneficial effects and reducing harmful effects on society.

Descriptive Statement:
People design computational artifacts to help make the lives of humans better. Students evaluate an artifact and comment on aspects of it which positively or negatively impact users and give ideas for reducing the possible negative impacts. For example, students could discuss how algorithms that screen job candidates' resumes can cut costs for companies (a beneficial effect) but introduce or amplify bias in the hiring process (a harmful effect). Alternatively, students could discuss how turn-by-turn navigation tools can help drivers avoid traffic and find alternate routes (a beneficial effect), but sometimes channel large amounts of traffic down small neighborhood streets (a harmful effect). Additionally, students could discuss how social media algorithms can help direct users' attention to interesting content (a beneficial effect), while simultaneously limiting users' exposure to information that contradicts pre-existing beliefs (a harmful effect).

Standard:
Evaluate how computational innovations that have revolutionized aspects of our culture might evolve.

Descriptive Statement:
It is important to be able to evaluate current technologies and innovations and their potential for future impact on society. Students describe how a given computational innovation might change in the future and impacts these evolutions could have on society, economy, or culture. For example, students could consider ways in which computers may support education (or healthcare) in the future, or how developments in virtual reality might impact arts and entertainment. Alternatively, students could consider how autonomous vehicles will affect individuals' car ownership and car use habits as well as industries that employ human drivers (e.g., trucking, taxi service).

Standard:
Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.

Descriptive Statement:
Computers, computation, and technology can help improve the lives of humans and support positive developments in society, economy, and/or culture. However, access to such resources is not the same for everyone in the world. Students define and evaluate ways in which different technologies, applications, or computational tools might benefit all people in society or might only benefit those with the greatest access or resources. For example, students could describe ways in which groups of people benefit, do not benefit, or could benefit better by access to high-speed Internet connectivity. Alternatively, students could describe educational impacts of children not having access to a computer in their home.