Ask questions based on Ask questions about what would models. This includes the observations to find more happen if a variable is changed. following: Ask questions that arise from information about the natural careful observation of world. Identify scientific (testable) and Ask questions that arise from phenomena, or unexpected non-scientific (non-testable) careful observation of results, to clarify and seek Ask or identify questions that can questions. phenomena, models, or additional information. be answered by an investigation. unexpected results, to clarify or seek additional information. Ask questions that can be Ask questions that arise from investigated and predict examining models or theories to reasonable outcomes based on Ask questions to identify and clarify and seek additional patterns such as cause and clarify evidence and the information and relationships. effect relationships. premise(s) of an argument. Ask questions to determine Ask questions to determine relationships, including relationships between quantitative relationships, independent and dependent between independent and variables and relationships in dependent variables. models. Ask questions to clarify and Ask questions to clarify or refine refine a model or an explanation. a model, an explanation, or an engineering problem. Evaluate a question to determine if it is testable and relevant. Ask questions that require sufficient and appropriate Ask questions that can be empirical evidence to answer. investigated within the scope of the school laboratory, research Ask questions that can be facilities, or field (e.g., outdoor investigated within the scope of environment) with available the classroom, outdoor resources and, when environment, and museums and appropriate, frame a hypothesis other public facilities with based on a model or theory. available resources and, when appropriate, frame a hypothesis Ask and evaluate questions that based on observations and challenge the premise(s) of an scientific principles. argument, the interpretation of a data set, or the suitability of the Ask questions that challenge the design. premise(s) of an argument or the interpretation of a data set.
Ask questions based on observations to find more information about the natural world. Ask or identify questions that can be answered by an investigation. Ask questions about what would happen if a variable is changed. Identify scientific (testable) and non-scientific (non-testable) questions. Ask questions that can be investigated and predict reasonable outcomes based on patterns such as cause and effect relationships. models. This includes the following: Ask questions that arise from careful observation of phenomena, models, or unexpected results, to clarify or seek additional information. Ask questions to identify and clarify evidence and the premise(s) of an argument. Ask questions to determine relationships between independent and dependent variables and relationships in models. Ask questions to clarify or refine a model, an explanation, or an engineering problem. Ask questions that require sufficient and appropriate empirical evidence to answer. Ask questions that can be investigated within the scope of the classroom, outdoor environment, and museums and other public facilities with available resources and, when appropriate, frame a hypothesis based on observations and scientific principles. Ask questions that challenge the premise(s) of an argument or the interpretation of a data set. Ask questions that arise from careful observation of phenomena, or unexpected results, to clarify and seek additional information. Ask questions that arise from examining models or theories to clarify and seek additional information and relationships. Ask questions to determine relationships, including quantitative relationships, between independent and dependent variables. Ask questions to clarify and refine a model or an explanation. Evaluate a question to determine if it is testable and relevant. Ask questions that can be investigated within the scope of the school laboratory, research facilities, or field (e.g., outdoor environment) with available resources and, when appropriate, frame a hypothesis based on a model or theory. Ask and evaluate questions that challenge the premise(s) of an argument, the interpretation of a data set, or the suitability of the design.
WI-Standards-for-Science-2017.docx