PIL: Making CTE Personnel Decisions with a Focus on High-Quality Instruction
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This program will focus on some of the known best practices in hiring and mentoring new teachers. This will help ensure that our students have highly effective teachers in the classroom. Participants will learn the key role and critical need to consult with the school solicitor as the school’s legal authority and expert in personnel matters, as well as deliberations and consultations with the chief school administrator.

 Export to Your Calendar 1/14/2025
When: Wednesday, January 15, 2025
9:00 AM
Where: Online Synchronous
United States
Contact: Lori Bell
lori@pacareertech.org
(717) 761-3381


Online registration is available until: 1/14/2025
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The 40-hour PIL will consist of (1) an initial in-person session for seven hours, (2) a four-hour session, and (3) a three-hour report out session for the culminating project for a total of 14 hours.  The job embedded assignments will require a minimum of 26 hours.

 

Major ideas and sections of this program are identified below.  The lesson plans will detail the specifics within each of the major sections:

i.   Hiring process for high-quality classroom teachers, including demonstration of fair and equitable treatment for all candidates

ii.  Selecting and training mentors for teacher induction

iii. Performance improvement plans to overcome mediocrity and to prevent failure

iv. Ethical decision making, confidentiality, due process, and termination

 

There are four job embedded assignments: (1) Create/revise the existing teacher hiring procedure. (2) Review the existing induction program to retain high-quality, high-performing teachers.  (3) Read a case study regarding an ethical and confidentiality dilemma and write a narrative explanation of how they would respond, why they would respond that way, how they response is compatible with ethical behavior and guides for confidentiality when supervising and evaluation teachers. (4) Create/revise an existing performance improvement plan (PIP) for a teacher based on objective observation data, as well as existing student achievement data.