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Know Where it Grows

by  Michigan Science Center

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Certain environmental conditions allow some plants to produce food because different plants vary in temperature, sunlight, water, and space requirements that affect their growth. Environmental conditions such as weather determine where and when plants can grow. We can design solutions to reduce the impacts of weather related hazards on plants grown for food in a community garden. The final artifact will ask students to design a solution to protect their plant from weather related hazards.

Program Rating

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About This Program

Cost

Point to Point: $150.00
Point to Point Premium: $140.00


*Additional costs apply for international shipping

Length

45-55 minutes


Target Audience

Education: Grade(s) 2, 3, 4

Minimum participants:

none

Maximum participants:

30


Primary Disciplines

Career Education, Sciences


Program Delivery Mode

Zoom



Booking Information

Book it!

Receive this program and 9 more for one low price when you purchase the CILC Virtual Expeditions package. Learn more

For more information contact CILC at (507) 388-3672

Provider's Cancellation Policy

All sales are final and non-refundable. A 50% non-refundable deposit is required and due within two weeks of reservation to secure date. Balance and a final count of attendees is due no later than two weeks prior to the event. Should an event require the school to close or class to be canceled, programs will be rescheduled. Schools are responsible for rescheduling programs within 6 months of original date. Should the school not choose to reschedule their virtual visit, a credit will remain on the account for use of a field trip, Traveling Science program or other MiSci programming.

About This Provider

Content Provider logo

 

Michigan Science Center

Detroit, Michigan
United States

What is ECHO?

ECHO stands for Engaging in Collaborative, Hands-on Learning. Visit the Michigan Science Center and join us for a great learning experience
without leaving your classroom! Our new ECHO program brings live science demonstrations
and activities directly to your students over the internet.  

Why ECHO?

Our videoconferencing programs allow you and your
students to participate in highly interactive and fun learning in real time. We
have taken the Next Generation Science Standards and have created programs that
are informative and entertaining. No special hardware is required to bring a
virtual visit to your classroom. A connection can be done with a computer,
webcam, projector and high speed internet. All you need to do is click a link
and the fun begins!

Contact:
MiSci ECHO
ECHO@mi-sci.org
313-577-8400 x238

Program Details

Format

.1. Introductions/goals
2. Introduce phenomenon: How can we grow plants for food in our community?
3. How and where do plants grow?
4. Seed examination
5. Build a terrarium
6. How would weather affect our plant's growth?
7. Weather demonstration
8. Can plants grow well in certain parts of the world?
9. Lotus Leaf Demonstration
10. Engineer a solution to protect your plant from a frost

Objectives

.The participant will...
- explore different plant adaptions for survival in their environment
- receive an example of 3-dimensional teaching and learning
- learn to grow their own plants for food

Standards Alignment

National Standards

NGSS PEs

3-LS3-1. Analyze and interpret data to provide evidence that plants and animals have traits inherited from parents and that variation in these traits exists in a group of similar organisms.

3-LS3-2. Use evidence to support the explanation that traits can be influenced by the environment.

3-LS4-3. Construct an argument with evidence that in a particular habitat some organisms can survive well, some survive less well, and some cannot survive at all.

3-LS4-4. Make a claim about the merit of a solution to a problem caused when the environment changes and the types of plants and animals that live there may change.

3-ESS2-2. Obtain and combine information to describe climates in different regions of the world.

3-5-ETS1-2. Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.