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Engineering Summer Program for Teachers

The Engineering Summer Program for Teachers (ESP4T) is a weeklong professional development workshop hosted at the University of Wyoming campus focusing on the use of Physical Computing as a teaching tool to engage K-12 students in science, technology, engineering and mathematics (STEM).

 

Please see below to learn about our new Machine Learning for High School Teachers (ML4HST)

ESP4T 2022 Information 

(subject to change based on University COVID 19 policies)

ESP4T 2022 will be hosted in-person at the University of Wyoming Campus. 

 

ESP4T 2022 Workshop Important Dates:

Application Deadline: February 15, 2022

Workshop Session I: July 11-14, 2022 

Workshop Session II: July 18-21, 2022 

Follow Up ZOOM meeting 1: October 8 2022

Follow Up ZOOM meeting 2: February 18, 2023

Final Project and Reflection Due: May 26, 2023

Workshop Participant Information:

  • Participants will receive a stipend as well as either UW credit or PTSB credit.
    • 3 total UW Credits (2 after summer workshop; 1 after final project - cost: $50 per credit. $150 total)
    • 2 PTSB Credits
  • The stipend for ESP4T 2022 is $1000 total
    • $600 paid after completion of the summer workshop (August/September 2022)
    • $400 paid after mandatory follow up sessions 1 & 2 and completion of final project (June/July 2023)
  • Double occupancy dorm accomodations and meal plans will be available to workshop participants. 
  • Participants must follow all current UW Covid rules and expectations. 

Participant Eligibility:

  • K12 Educator in any content area
  • Priority acceptance granted to Wyoming K-12 teachers who have not previously atteneded ESP4T
  • Previous participants encouraged to apply and will be asked to share their classroom use of ESP4T learning and concepts
  • ESP4T 2022 is open to individual applicants only. (No team applications)

Workshop Participant Expectations:

  • Attend the four day summer workshop at the UW campus
  • Develop and submit an implementation plan: Due August 5, 2022
  • Attend the two follow-up virtual sessions: October 8, 2022 and February 18, 2023
  • Implement a lesson plan developed during the summer session, present to your school peers and administration about the ESP4T lesson implementation, and submit the final project/reflection to the ESP4T lead teachers: Due: May 26, 2023 

Applications are now open. Click HERE to apply. 

  • Application Due date: February 15, 2022
  • Notification of application status and decision will be sent by March 1, 2022

Workshop Instructors:

UW Faculty:

  • Suresh Muknahallipatna, Professor, Electrical and Computer Engineering
  • Robert F. Kubichek, Associate Professor, Emeritus, Electrical and Computer Engineering
  • Jeffrey R. Anderson, Associate Academic Professional Lecturer

Teacher Mentors:

  • Katie Mitchell, BS in Elementary Education from UW, MA in Curriculum and Instruction with an emphasis in math, Anderson Elementary School, Cheyenne, Wyoming. 
  • Cindy Amundson BS Zoology-Physiology/BA Elementary Education/MA Teaching and Learning Elementary/Computer Coding, West Elementary, Wheatland, Wyoming
  • Gary Duquette, BS Mathematics, M.A.Ed, 9-12 Mathematics/Engineering Teacher, Jackson Hole High School, Wyoming.
  • Leah Ritz, A. in Geography and Environmental Science, Macalester College, M.S. in Natural Science and Environment and Natural Resources, University of Wyoming, Certificate in Maker Education, Sonoma University.

       Project Coordinator:

         Cindy Jones, Ph.D. in Education cynthia.jones@uwyo.edu

Machine Learning for High School Teachers (ML4HST)

This course serves as a professional development workshop that trains 8 – 12th grade education teachers on how to incorporate machine learning concepts in the classroom. Content in machine learning offers educators a unique opportunity to engage 8-12th grade students in meaningful, hands-on learning machine learning applications. The goal of this workshop is for each participant to return to their classroom with the skills and strategies to integrate mathematical and practical concepts of machine learning with confidence and purpose.

Participants will work with UW faculty, as well as a team of teacher mentors to learn about the Wyoming State Science Standards (WYSS) and best practices for introducing artificial intelligence and machine learning in grades 8-12. A variety of machine learning projects will be presented, as well as the scaffolding of instruction used in both classroom and afterschool program settings.

 

DATE: July 25-28 (29), 2022

LOCATION: UW Campus, in-person (unless UW regulations change)

  • 4 day workshop/day 5 (29th) is optional
  • Dorms and meal plans are available
  • Approximately 18 applicants will be accepted into the program
  • Must be an 8th - 12th grade educator in a STEM field
  • PTSB OR UW credits available (3 UW credits/2 PTSB credits) 
  • Applications are now open (see below)
  • More information will be coming soon 
  • A stipend will be paid to participants - $800 total
    • $600 paid in August 2022 after completion of the 4 day workshop
    • $200 paid in June of 2023 after submission of final project

Please apply HERE

Please contact Cindy Jones (cynthia.jones@uwyo.edu) with questions. 

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