Role Description

This is a virtual education teaching position on campus.

Qualifications

• A Bachelor's degree.
• Hold a valid and active Pennsylvania Instructional Certificate in specified curriculum.
• Criminal history and child abuse clearances (Acts 34, 151 and FBI).
• Experience developing AI-related projects or curriculum.
• Familiarity with specific AI education platforms or resources.
• Experience working in a project-based learning or competency-based education environment.
• Experience with data analysis and using data to inform instructional decisions.
• Experience with coding competitions or extracurricular computer science activities.
• Such additional or alternatives to the above qualifications as the board or superintendents may determine appropriate and acceptable.

Requirements

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Reimbursement
• Tuition Reimbursement
• Personal and Sick time
• PSERS Retirement Fund

Essential Duties and Responsibilities

• Curriculum Development and Implementation (AI-Focused):
  • Design, develop, and implement engaging and rigorous high school computer science curricula that integrate AI concepts, principles, and applications.
  • Develop project-based learning experiences that allow students to apply computer science skills to solve real-world problems, particularly those related to AI.
  • Collaborate with other faculty to integrate AI concepts across different subject areas.
  • Continuously update curriculum to reflect advancements in AI and computer science.
  • Align curriculum with relevant national and state standards.
• Personalized Learning and Instruction:
  • Utilize data-driven insights and AI-powered tools (where applicable) to understand individual student needs, learning styles, and progress.
  • Differentiating instruction and providing personalized support to ensure all students achieve mastery of competencies.
  • Foster student ownership of their learning and encourage self-reflection.
• Project-Based Learning Facilitation:
  • Guide and mentor students through the entire project lifecycle, from ideation and planning to execution and presentation.
  • Facilitate collaboration, teamwork, and problem-solving within project groups.
  • Provide timely and constructive feedback on student projects, focusing on both process and outcomes.
  • Assess student learning through project-based rubrics and competency-based assessments.
• Competency-Based Education:
  • Clearly define learning competencies and success criteria for computer science topics.
  • Develop and utilize varied assessment methods that directly measure student mastery of identified competencies.
  • Provide students with clear pathways to demonstrate their learning and progress through the curriculum.
  • Track and report student progress based on competency attainment.
• Technology Integration (AI Emphasis):
  • Effectively integrate various software, hardware, and AI tools into instruction.
  • Guide students in the ethical and responsible use of AI technologies.
  • Stay current with emerging AI trends and educational technologies.