0

Burn Boss Training

by  Michigan Science Center

Program image

Humans engineer controlled fires for ecological reasons, including restoring bio-diverse
habitats for plants and animals that are specially adapted for the natural
processes of the earth. Suppression of natural fires poses a threat to animals,
plants, and humans due to the huge volumes of fuel collected, resulting in
hazards. 

Throughout the session, students will learn to use their understanding of fire ecology and how to manage environmental resources to develop an engineered solution for a habitat to protect an animal. 

Program Rating

   based on 4 evaluation(s).
Book it!

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) 3, 4, 5

Minimum participants:

none

Maximum participants:

30


Primary Disciplines

Career Education, Sciences Engineering


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 and goals
2. Introduce the phenomenon
3. Fire demonstration
4. Forest fire discussion
5. Hands on investigation
6. Virtual plant scavenger hunt game show
7. Choose an endangered animal
8. Design a solution to help protect an animal's habitat

Objectives

The participant will...
- Recognize the pros and cons of forest fires
- Discuss claims, evidence and reasoning with others to determine the best solution to the proposed phenomenon
- Gain clearer understanding of NGSS aligned material and 3-dimensional learning

Standards Alignment

National Standards

NGSS PEs

4-ESS3-1 Obtain and combine information to describe that energy and fuels are derived from natural resources and their uses affect the environment.

4-LS1-1 Construct an argument that plants and animals have internal and external structures that function to support survival, growth, behavior, and reproduction.

4-ESS3-2 Generate and compare multiple solutions to reduce the impacts of natural Earth processes on humans.*

3-ESS3-1 Make a claim about the merit of a design solution that reduces the impacts of a weather-related hazard.*

3-5-ETS1-1 Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.

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.