Teacher- Social Studies at Allentown City School District

Qualifications:  

1. A Bachelors degree.
2. Hold a valid and active Pennsylvania Instructional Certificate in specified curriculum.
3. Criminal history and child abuse clearances (Acts 34, 151 and FBI).
4. Experience developing AI-related projects or curriculum.
5. Familiarity with specific AI education platforms or resources.
6. Experience working in a project-based learning or competency-based education environment.
7. Experience with data analysis and using data to inform instructional decisions.
8. Experience with coding competitions or extracurricular computer science activities.
9. Such additional or alternatives to the above qualifications as the board or superintendents may determine appropriate and acceptable. The requirements listed below are representative of the knowledge, skill, and/or ability required

• 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.
  • Differentiate instruction and provide 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.