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Highgrove Education – Highgrove Online School

AI for Problem Solving

This course explores how artificial intelligence can be harnessed as a powerful tool for creative problem solving. Through a hands-on, project-based approach, students will learn to define problems, generate ideas, simulate outcomes, and make strategic decisions using AI. From prototyping in engineering and design to addressing global challenges for social good, the course demonstrates real-world applications of AI across diverse contexts. Students will also critically examine the ethical implications of AI, including bias and accountability. The course culminates in an independent mini-project, giving learners the opportunity to develop and present their own AI-assisted solutions. 

Online School Incorporating AI

Key Information

COURSE SYLLABUS

Access Course Enrolment:
  • Enrolment in our pre-GCSE or pre-A level access course.
  • Access to our self-study materials and platform, live class lessons, and individual teacher support in Office Hours.
  • Weekly teacher-marked homework.
  • Half termly reports.
  • Support from our SENDCo for pupils with special educational needs or disabilities, including assessment for access arrangement entitlement.
  • Support with English for pupils whose first language is not English.
  • A Highgrove Education Office365 account, including Teams, SharePoint and a school email
DepartmentTechnology
Course Length10 weeks
Live LessonsOne 45-minute lesson per week
HomeworkWeekly mini assignments and one mini-project at the end of each course
ExaminationNone 
Entry RequirementsNone 

Course Syllabus

Lesson 1Problem Identification: Using AI to define and break down problems
Lesson 2Brainstorming Solutions: AI-assisted idea generation
Lesson 3Simulations and Predictions: Using AI models to forecast outcomes
Lesson 4Decision-Making Tools: AI in planning and strategic thinking
Lesson 5AI in Engineering and Design: Prototyping and testing
Lesson 6AI for Social Good: Solving global challenges with AI
Lesson 7Hands-on Practice: Building AI-assisted solutions
Lesson 8Ethics in Problem Solving AI: Bias, fairness, and accountability
Lesson 9Mini-project guidance and independent working time
Lesson 10Final showcase and reflection