Search the California Content Standards

Standard:
Describe basic hardware and software problems using accurate terminology.

Descriptive Statement:
Problems with computing systems have different causes. Accurate description of the problem aids users in finding solutions. Students communicate a problem with accurate terminology (e.g., when an app or program is not working as expected, a device will not turn on, the sound does not work, etc.). Students at this level do not need to understand the causes of hardware and software problems. For example, students could sort hardware and software terms on a word wall, and refer to the word wall when describing problems using "I see..." statements (e.g., "I see the pointer on the screen is missing", "I see that the computer will not turn on"). (CA CCSS for ELA/Literacy L.K.5.A, L.1.5.A, SL K.5, SL1.5, SL 2.5) (Visual Arts Kinder 5.2) Alternatively, students could use appropriate terminology during collaborative conversations as they learn to debug, troubleshoot, collaborate, and think critically with technology. (CA CCSS for ELA/Literacy SL.K.1, SL.1.1, SL.2.1)

Standard:
Collect and present data in various visual formats.

Descriptive Statement:
Data can be collected and presented in various visual formats. For example, students could measure temperature changes throughout a day. They could then discuss ways to display the data visually. Students could extend the activity by writing different narratives based on collected data, such as a story that begins in the morning when temperatures are low and one that begins in the afternoon when the sun is high and temperatures are higher. (CA CCSS for ELA/Literacy RL.K.9, RL.1.9, RL.2.9, W.K.3, W.1.3, W.2.3). Alternatively, students collect peers' favorite flavor of ice cream and brainstorm differing ways to display the data. In groups, students can choose to display and present the data in a format of their choice. (CA CCSS for Mathematics K.MD.3, 1.MD.4, 2.MD.10)

Standard:
Determine potential solutions to solve simple hardware and software problems using common troubleshooting strategies.

Descriptive Statement:
Although computing systems vary, common troubleshooting strategies can be used across many different systems. Students use troubleshooting strategies to identify problems that could include a device not responding, lacking power, lacking a network connection, an app crashing, not playing sounds, or password entry not working. Students use and develop various solutions to address these problems. Solutions may include rebooting the device, checking for power, checking network availability, opening and closing an app, making sure speakers are turned on or headphones are plugged in, and making sure that the caps lock key is not on. For example, students could prepare for and participate in a collaborative discussion in which they identify and list computing system problems and then describe common successful fixes. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1) Alternatively, students could write informative/explanatory texts, create a poster, or use another medium of communication to examine common troubleshooting strategies and convey these ideas and information clearly. (CA CCSS for ELA/Literacy W.3.2, W.4.2, W.5.2)

Standard:
Organize and present collected data visually to highlight relationships and support a claim.

Descriptive Statement:
Raw data has little meaning on its own. Data is often sorted or grouped to provide additional clarity. Organizing data can make interpreting and communicating it to others easier. Data points can be clustered by a number of commonalities. The same data could be manipulated in different ways to emphasize particular aspects or parts of the data set. For example, students could create and administer electronic surveys to their classmates. Possible topics could include favorite books, family heritage, and after school activities. Students could then create digital displays of the data they have collected such as column histogram charts showing the percent of respondents in each grade who selected a particular favorite book. Finally, students could make quantitative statements supported by the data such as which books are more appealing to specific ages of students. As an extension, students could write an opinion piece stating a claim and supporting it with evidence from the data they collected. (CA CCSS for Mathematics 3.MD.3, 4.MD.4, 5.MD.2) (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, students could represent data in tables and graphical displays to describe weather experienced in the last several years. They could select the type of graphical display based on the specific data represented (e.g., daily high/low temperatures on a scatter plot, average temperatures for a month across years in a column chart). Students could then make a claim about expected weather in future months based on the data. (CA NGSS: 3-ESS2-1)

Standard:
Systematically apply troubleshooting strategies to identify and resolve hardware and software problems in computing systems.

Descriptive Statement:
When problems occur within computing systems, it is important to take a structured, step-by-step approach to effectively solve the problem and ensure that potential solutions are not overlooked. Examples of troubleshooting strategies include following a troubleshooting flow diagram, making changes to software to see if hardware will work, checking connections and settings, and swapping in working components. Since a computing device may interact with interconnected devices within a system, problems may not be due to the specific computing device itself but to devices connected to it. For example, students could work through a checklist of solutions for connectivity problems in a lab of computers connected wirelessly or through physical cables. They could also search for technical information online and engage in technical reading to create troubleshooting documents that they then apply. (CA CCSS for ELA/Literacy RST.6-8.10) Alternatively, students could explore and utilize operating system tools to reset a computer's default language to English. Additionally, students could swap out an externally-controlled sensor giving fluctuating readings with a new sensor to check whether there is a hardware problem.

Standard:
Collect data using computational tools and transform the data to make it more useful.

Descriptive Statement:
Data collection has become easier and more ubiquitous. The cleaning of data is an important transformation for ensuring consistent format, reducing noise and errors (e.g., removing irrelevant responses in a survey), and/or making it easier for computers to process. Students build on their ability to organize and present data visually to support a claim, understanding when and how to transform data so information can be more easily extracted. Students also transform data to highlight or expose relationships. For example, students could use computational tools to collect data from their peers regarding the percentage of time technology is used for school work and entertainment, and then create digital displays of their data and findings. Students could then transform the data to highlight relationships representing males and females as percentages of a whole instead of as individual counts. (CA CCSS for Mathematics 6.SP.4, 7.SP.3, 8.SP.1, 8.SP.4) Alternatively, students could collect data from online forms and surveys, from a sensor, or by scraping a web page, and then transform the data to expose relationships. They could highlight the distribution of data (e.g., words on a web page, readings from a sensor) by giving quantitative measures of center and variability. (CA CCSS for Mathematics 6.SP.5.c, 7.SP.4)

Standard:
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.

Descriptive Statement:
Troubleshooting complex problems involves the use of multiple sources when researching, evaluating, and implementing potential solutions. Troubleshooting also relies on experience, such as when people recognize that a problem is similar to one they have seen before and adapt solutions that have worked in the past. For example, students could create a list of troubleshooting strategies to debug network connectivity problems such as checking hardware and software status and settings, rebooting devices, and checking security settings. Alternatively, students could create troubleshooting guidelines for help desk employees based on commonly observed problems (e.g., problems connecting a new device to the computer, problems printing from a computer to a network printer).

Standard:
Create data visualizations to help others better understand real-world phenomena.

Descriptive Statement:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Students select relevant data from large or complex data sets in support of a claim or to communicate the information in a more sophisticated manner. Students use software tools or programming to perform a range of mathematical operations to transform and analyze data and create powerful data visualizations (that reveal patterns in the data). For example, students could create data visualizations to reveal patterns in voting data by state, gender, political affiliation, or socioeconomic status. Alternatively, students could use U.S. government data on criticially endangered animals to visualize population change over time.

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.