Bone Up on Tissue Engineering
By Bethany Vice • Nick Harth
Grade Level |
10th |
Subject Area |
Biology - Tissue Engineering |
Duration |
2-3 60-minute sessions |
Setting |
Classroom - tables preferred |
Background Knowledge |
Students should have the general background of animal systems. |
Author |
Bethany Vice and Nick Harth |
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Summary |
Students will be introduced to the concept of tissue engineering. They will work in groups to test the strength of a model bone and then modify the model to see if strength can be improved. |
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Objectives |
1. Students will be able to explain the relevance of tissue engineering.
2. Students will be able to describe the basic process of tissue engineering.
3. Students will be able to describe the general steps in the research process.
4. Students will be able to identify errors in the research process.
5. Students will be able to relate general biology concepts to recent scientific advances. |
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Materials Required |
- 8.5” x 11” Sheets of paper, Tape, Paper clips, Styrofoam cups, Coins, Scale.
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Ohio Standards |
Science (Grade 10)
Science and Technology - Understanding Technology
• Cite examples of ways that scientific inquiry is driven by the desire to understand the natural world and how technology is driven by the need to meet human needs and solve human problems.
• Describe examples of scientific advances and emerging technologies and how they may impact society.
Scientific Inquiry – Doing Scientific Inquiry
• Present scientific findings using clear language, accurate data, appropriate graphs, tables, maps and available technology.
• Draw conclusions from inquiries based on scientific knowledge and principles, the use of logic and evidence (data) from investigations.
Scientific Ways of Knowing – Science and Society
• Investigate how the knowledge, skills and interests learned in science classes apply to the careers students plan to pursue.
Mathematics
• Students pose questions and collect, organize, represent, interpret and analyze data to answer those questions. Students develop and evaluate inferences, predictions and arguments that are based on data.
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