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Grade 8 Science OLS Standards

115 standards - Ohio OLS

These are the official Grade 8 Science Ohio OLS — the exact codes and student expectations grade 8 teachers are required to teach and Ohio State Tests assesses. Browse every standard below, then generate a print-ready, OLS-aligned worksheet, lesson plan, exit ticket, or assessment for any of them in seconds.

Standards

68.NS.1

All students must use these scientific processes with appropriate laboratory safety techniques to construct their knowledge and understanding in all science content areas.

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68.NS.1.1

Apply knowledge of science content to real-world challenges.

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68.NS.1.10

Design technological/engineering solutions.

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68.NS.1.2

Identify questions that can be answered through scientific investigations.

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68.NS.1.3

Design and conduct scientific investigations using appropriate safety techniques.

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68.NS.1.4

Use appropriate mathematics, tools and techniques to gather data and information.

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68.NS.1.5

Analyze and interpret data.

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68.NS.1.6

Develop descriptions, models, explanations and predictions.

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68.NS.1.7

Think critically and logically to connect evidence and explanations.

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68.NS.1.8

Recognize and analyze alternative explanations and predictions.

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68.NS.1.9

Communicate scientific procedures and explanations.

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68.NS.2

Science assumes the universe is a vast single system in which basic laws are consistent. Natural laws operate today as they did in the past and they will continue to do so in the future. Science is both a body of knowledge that represents a current understanding of natural systems and the processes used to refine, elaborate, revise and extend this knowledge.

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68.NS.2.1

Science is a way of knowing about the world around us based on evidence from experimentation and observations.

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68.NS.2.2

Science is a continual process and the body of scientific knowledge continues to grow and change.

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68.NS.2.3

Science assumes that objects and events occur in consistent patterns that are understandable through measurement and observation.

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68.NS.2.4

Science should carefully consider and evaluate all data including outliers.

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68.NS.2.5

Science is based on observable phenomena and empirical evidence.

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68.NS.2.6

Science disciplines share common rules for obtaining and evaluating empirical evidence.

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68.NS.3

Science has been, and continues to be, advanced by individuals of various races, genders, ethnicities, languages, abilities, family backgrounds and incomes.

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68.NS.3.1

Individuals from different social, cultural, and ethnic backgrounds work as scientists and engineers.

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68.NS.3.2

Scientists and engineers are guided by habits of mind, such as intellectual honesty, tolerance of ambiguity, skepticism and openness to ideas.

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68.NS.3.3

Scientists and engineers rely on human qualities such as persistence, precision, reasoning, logic, imagination and creativity.

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68.NS.4

Science is not static. Science is constantly changing as we acquire more knowledge.

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68.NS.4.1

Science explanations are subject to revision and improvement in light of additional scientific evidence or new understanding of scientific evidence.

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8.ESS.1

The composition and properties of Earth's interior are identified by the behavior of seismic waves.

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8.ESS.2

Earth's lithosphere consists of major and minor tectonic plates that move relative to each other.

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8.ESS.3

A combination of constructive and destructive geologic processes formed Earth's surface.

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8.ESS.4

Evidence of the dynamic changes of Earth's surface through time is found in the geologic record.

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8.LS.1

Diversity of species, a result of variation of traits, occurs through the process of evolution and extinction over many generations. The fossil records provide evidence that changes have occurred in number and types of species.

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8.LS.2

Every organism alive today comes from a long line of ancestors who reproduced successfully every generation.

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8.LS.3

The characteristics of an organism are a result of inherited traits received from parent(s).

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8.PS.1

Objects can experience a force due to an external field such as magnetic, electrostatic, or gravitational fields.

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8.PS.2

Forces can act to change the motion of objects.

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AI

ARTIFICIAL INTELLIGENCE

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AI.ML

Machine Learning

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AI.ML.8.a

Explain the difference between training and using a reasoning model to identify how a machine learns.

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AI.ML.8.b

Illustrate how objects in an image can be segmented and labeled to construct a training set for object recognition.

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AI.ML.8.c

Explain how the choice of training data shapes the behavior of the classifier to identify how bias can be introduced if the training set is not properly balanced.

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AI.NI

Natural Interactions

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AI.NI.8.a

Create a program, individually and collaboratively, that implements a language processing algorithm to create a functional chatbot.

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AI.NI.8.b

Critically analyze and discuss features that make an entity “intelligent,” including discussing differences between human, animal and machine intelligence to identify how machine intelligence varies from natural intelligence.

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AI.P

Perception

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AI.P.8.a

Explain how sounds and images are represented digitally in a computer to explain how sensor data is stored in a computer.

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AI.P.8.b

Describe how a vision system might exhibit cultural bias if it lacked knowledge of objects not found in the culture of the people who created it to create inclusive and equitable data sets.

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AI.P.8.c

Illustrate how sequences of words can be recognized as phrases, even if some of the words are unclear, by looking at how the words fit together to create a text recognition program.

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AI.RR

Representation & Reasoning

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AI.RR.8.a

Model the process of solving a graph-search problem using breadth-first search to draw a search tree.

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AI.SI

Societal Impacts

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AI.SI.8.a

Identify and explain how the composition of training data affects the outcome of a supervised artificial intelligence system to identify bias in data sets.

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AI.SI.8.b

Identify bias potential in the design of artificial intelligence systems and describe how to utilize inclusive AI design to prevent algorithmic bias.

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ATP

ALGORITHMIC THINKING AND PROGRAMMING

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ATP.A

Algorithms

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ATP.A.8.a

Create multiple pseudocode to solve a multi-step process and justify the most efficient solution.

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ATP.CS

Control Structures

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ATP.CS.8.a

Use and apply decisions and loops in a program to solve a problem.

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ATP.M

Modularity

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ATP.M.8.a

Decompose problems and subproblems into parts to facilitate the design, implementation and review of complex programs.

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ATP.PD

Program Development

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ATP.PD.8.a

Write code that utilizes algorithms, variables and control structures to solve problems or as a creative expression.

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ATP.PD.8.b

Systematically test and refine programs using a range of test cases.

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ATP.PD.8.c

Use procedures that utilize parameters to pass values.

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ATP.VDR

Variables and Data Representation

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ATP.VDR.8.a

Analyze test cases and determine the range of valid solutions.

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ATP.VDR.8.b

Use a data structure to represent a collection.

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CS

COMPUTING SYSTEMS

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CS.D

Devices

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CS.D.8.a

Evaluate the advantages and limitations of existing computing devices to recommend design improvements based on analysis of how users interact with the device.

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CS.HS

Hardware and Software

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CS.HS.8.a

Design projects that combine hardware and software components that could complete a task.

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CS.T

Troubleshooting

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CS.T.8.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.

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DA

DATA AND ANALYSIS

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DA.DCS

Data Collection and Storage

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DA.DCS.8.a

Interpret digital data collection tools to manage information effectively.

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DA.DCS.8.b

Identify data storage systems to define how data is stored and accessed.

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DA.DCS.8.c

Create a logical file structure to organize data in different storage systems to support individual and collaborative work.

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DA.IM

Inference and Modeling

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DA.IM.8.a

Create and analyze models and simulations to accurately hypothesize a real-world situation.

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DA.VC

Visualization and Communication

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DA.VC.8.a

Evaluate data to construct a model or representation.

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DA.VC.8.b

Create a spreadsheet utilizing formulas, functions and graphs to represent and analyze data.

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IC

IMPACTS OF COMPUTING

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IC.Cu

Culture

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IC.Cu.8.a

Compare current technologies and how they affect the current economy.

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IC.Cu.8.b

Propose potential guidelines/standards/criteria to positively impact bias and accessibility in the design of future technologies.

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IC.Cu.8.c

Identify and explore careers related to the field of computer science.

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IC.Cu.8.d

Explain how computing impacts innovation in other fields.

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IC.SI

Social Interactions

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IC.SI.8.a

Evaluate the impacts of electronic communication on personal relationships to be able to evaluate differences between face-to-face and electronic communication.

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IC.SLE

Safety, Law and Ethics

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IC.SLE.8.a

Explain user privacy concerns related to the collection and generation of data that may not be evident through automated processes.

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IC.SLE.8.b

Describe the social and economic implications of privacy in the context of safety, law or ethics to be global digital citizens.

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IC.SLE.8.c

Identify ethical and legal security measures used to protect electronic information.

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IC.SLE.8.d

Provide appropriate credit when using resources or artifacts that are not our own.

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N-109T1

Physical Science

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N-14KEE

Life Science

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N-17M2H

Science is a Human Endeavor

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N-1MH69

Science is a Way of Knowing

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N-1W4TY

Earth and Space Science

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N-PWCB7

Scientific Knowledge is Open to Revision in Light of New Evidence

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N-TOPYX

Scientific Inquiry, Practice and Applications

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N-X7MLA

Nature of Science (K-8)

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NI

NETWORKS AND THE INTERNET

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NI.C

Cybersecurity

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NI.C.8.a

Explain how physical and digital security measures are used to protect electronic information.

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NI.C.8.b

Compare and contrast the effects of different types of malware to determine strategies for how to protect devices.

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NI.C.8.c

Compare and contrast examples of various threat actors, such as nation-states, cyber terrorist groups, organized crime or hacktivists.

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NI.C.8.d

Explore and differentiate examples of complex encryption methods, e.g., Vigenère, Bacon’s cipher and Enigma.

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NI.IOT

Internet of Things (IoT)

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NI.IOT.8.a

Explore career pathways related to IoT to identify careers associated with the computer science field.

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NI.IOT.8.b

Model the lifecycle of information in the IoT including data gathering, transmission, reception and analysis to recreate a realworld scenario.

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NI.N

Networking

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NI.N.8.a

Model the role of hardware components to diagram the infrastructure of networks and the internet (including cloud servers).

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NI.N.8.b

Model protocols (i.e., rules) and explain why they are used to transmit data across networks and the internet.

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NI.N.8.c

Explain how a system responds when information is lost to understand the effect it has on the transferred information.

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