Leonardo da Vinci (1452-1519) was a painter, architect, inventor, and student of all things scientific. His natural genius crossed so many disciplines that he epitomized the term “Renaissance man.” Today he remains best known for his art, including two paintings that remain among the world’s most famous and admired, Mona Lisa and The Last Supper. Art, da Vinci believed, was indisputably connected with science and nature.
Largely self-educated, he filled dozens of secret notebooks with inventions, observations and theories about pursuits from aeronautics to anatomy. But the rest of the world was just beginning to share knowledge in books made with moveable type, and the concepts expressed in his notebooks were often difficult to interpret. As a result, though he was lauded in his time as a great artist, his contemporaries often did not fully appreciate his genius—the combination of intellect and imagination that allowed him to create, at least on paper, such inventions as the bicycle, the helicopter and an airplane based on the physiology and flying capability of a bat.
This unit addresses critical thinking skills in the Next Generation Science Standards, which are based on “A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas”, by the National Research Council of the National Academies. In this document we read
“Through discussion and reflection, students can come to realize that scientific inquiry embodies a set of values. These values include respect for the importance of logical thinking, precision, open-mindedness, objectivity, skepticism, and a requirement for transparent research procedures and honest reporting of findings.”
Next Generation Science Standards: Science & Engineering Practices
● Ask questions that arise from careful observation of phenomena, or unexpected results, to clarify and/or seek additional information.
● Ask questions that arise from examining models or a theory, to clarify and/or 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, an explanation, or an engineering problem.
● 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/or evaluate questions that challenge the premise(s) of an argument, the interpretation of a data set, or the suitability of the design
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