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Ohio 6 Framework


Standard Description
CS.D.6.a Identify the benefits and limitations of a given computing device's functions (including individual components) to explain how the functions and components work together to create the computing system. Lessons
CS.HS.6.a Identify ways that hardware and software work together as a system to collect and exchange data. Lessons
CS.T.6.a Use a systematic process to identify and evaluate the source of a routine computing problem. Select the best solution to solve the computing problem and communicate the solution to others. Lessons
NI.N.6.a Identify the role of hardware components to understand the infrastructure of networks and the internet (including cloud servers). Lessons
NI.N.6.b Identify protocols (i.e., rules) and explain why they are used to transmit data across networks and the internet. Lessons
NI.C.6.a Identify cybersecurity concerns and measures needed to protect electronic information. Lessons
NI.C.6.b Identify the different types of malware to understand threats to data security. Lessons
NI.C.6.c Identify ways to protect private information. Lessons
NI.IOT.6.a Define and explore aspects of embedded devices, smart devices and intelligent devices and the way they record, observe and mimic human habits. Lessons
NI.IOT.6.b Identify and define blockchains to recognize how every device made has unique identifiers and the weaknesses that allow programmers and hackers to see personally identifiable information. Lessons
DA.DCS.6.a Identify and use an appropriate digital data collection tool to compile information. Lessons
DA.DCS.6.b Select and utilize appropriate file formats to organize collected data. Lessons
DA.DCS.6.c Utilize a file structure to logically organize data to support individual and collaborative work. Lessons
DA.VC.6.a Identify and label patterns in models or representations to infer connections between data sets. Lessons
DA.VC.6.b Create a spreadsheet utilizing formulas, functions and graphs to represent and analyze data. Lessons
DA.IM.6.a Identify and utilize data sets to support or refute a hypothesis. Lessons
ATP.A.6.a Compare and refine multiple algorithms for the same task to determine which is the most efficient. Lessons
ATP.VDR.6.a Identify unknown values that need to be represented by a variable within a multi-step process. Lessons
ATP.VDR.6.b Create variables and use them within a multi-step process. Lessons
ATP.CS.6.a Identify and trace decisions and loops that exist in a multi-step process within a program. Lessons
ATP.M.6.a Decompose problems into parts to facilitate the design, implementation and review of programs. Lessons
ATP.PD.6.a Write code that utilizes algorithms, variables and control structures to solve problems or as a creative expression. Lessons
ATP.PD.6.b Test and trace to debug and refine code Lessons
AI.P.6.a Give examples of different types of computer perception that can extract meaning from sensory signals to understand how computers collect information from sensors. Lessons
AI.P.6.b Give examples of how humans combine information from multiple modalities to understand how computers use sensors to collect data. Lessons
AI.P.6.c Give examples of different types of computer perception that can extract meaning from sensory signals to show the connection between sensors and computer perception. Lessons
AI.P.6.d Classify a given image (e.g., "traffic scene", "nature scene", "social gathering", etc.) and then describe the kinds of knowledge a computer would need in order to understand scenes of this type to utilize the image in an algorithm. Lessons
AI.RR.6.a Illustrate how a computer can solve a maze, find a route on a map or reason about concepts in a knowledge graph by drawing a search tree. Lessons
AI.ML.6.a Contrast the unique characteristics of human learning with the ways machine learning systems operate to identify the limitations of machine learning. Lessons
AI.ML.6.b Illustrate the structure of a neural network to describe how its parts form a set of functions that compute an output. Lessons
AI.NI.6.a Individually and collaboratively compare language processing algorithms to solve a problem based on a given criteria (e.g., time, resource, accessibility). Lessons
AI.NI.6.b Identify and describe how computers mimic human behavior to better serve humans. Lessons
AI.SI.6.a Identify and explain how humans have control in curating training datasets to identify bias in machine learning. Lessons
AI.SI.6.b Identify and explain how algorithmic bias impacts artificial intelligence systems to prevent bias in future datasets. Lessons
IC.Cu.6.a Identify the change that current technologies have on people's everyday activities to understand the impact within a society. Lessons
IC.Cu.6.b Identify issues of bias and accessibility in the design of existing technologies to address equality and equity in society. Lessons
IC.Cu.6.c Identify and explore careers related to the field of computer science. Lessons
IC.SI.6.a Analyze and present beneficial and harmful effects of electronic communications to understand their impacts on interpersonal, global, economic, political, business and cultural interactions. Lessons
IC.SLE.6.a Describe tradeoffs between allowing information to be public and keeping information private and secure to inform decision making. Lessons
IC.SLE.6.b Identify the social and economic implications of privacy in the context of safety, law or ethics to understand how privacy impacts these areas. Lessons
IC.SLE.6.c Evaluate the development of new technologies in communication, entertainment and business to understand the impact. Lessons
IC.SLE.6.d Provide appropriate credit when using resources or artifacts that are not our own. Lessons
IC.SLE.6.e Differentiate between the appropriate and inappropriate content on the internet and identify unethical and illegal online behavior. Lessons