Theme: Full-Stack Development & Ethical Technologies

The Year 10 DigiTech course equips students with practical skills and critical knowledge for further study and vocational training in digital technologies. Emphasising computational thinking and modular solution design, students develop capabilities to tackle complex digital challenges across full-stack development, AI, and cybersecurity.

Throughout the course, students will analyse and develop advanced digital solutions, including AI engines, simulations, and secure systems, while investigating data security, privacy, and bias in automated data collection. Students learn to create responsive, user-friendly digital projects and implement risk-aware planning to meet legal and sustainability requirements. Evaluation and continuous improvement of information systems is a key component, fostering responsible and innovative approaches.

Tools: HTML/CSS, Python, SQL, Adobe Creative Suite, podcast generation

Key Digital Technology Aspects Covered:

  • Advanced Digital Solutions:
    Analyse and design projects spanning digital portfolios, AI systems, and interactive simulations.

  • Data Security & Privacy:
    Explore threat evaluation, secure system design, incident response, and ethical considerations in data handling.

  • Algorithmic Design & Problem Solving:
    Develop skills in game logic, automation, and multimedia integration, using Python and SQL to solve real-world challenges.

  • User Experience & Accessibility:
    Emphasise responsive design and clear interface structures for live websites and applications.

  • Risk-Aware Planning:
    Investigate legal and ethical issues, sustainability goals, and evaluation criteria in all stages of digital solution development.

  • Evaluation & Improvement:
    Apply comprehensive criteria for assessment and enhancement of digital systems, ensuring innovation and effectiveness.

ASSESSMENT

Assessment:
Students will complete a range of projects, including:

  1. Digital Portfolio Website: HTML/CSS structure, responsive design; hosting all student work.

  2. Cybersecurity Simulation: Threat evaluation, secure systems, incident response; report or media analysis.

  3. AI & Ethics Response: Blog or stream reflection exploring bias, automation, and data ethics.

  4. Query Quest (Databases & SQL): Relational schema design, simple SQL queries, and documentation.

  5. Python Game + Stream/Podcast Review: Original game design with multimedia reflection and recorded review.

Assessment tasks require students to demonstrate computational thinking, ethical awareness, and adherence to legal standards. All performance is evaluated in line with the College Assessment Policy.

PATHWAY

This course provides a robust foundation for future studies in Digital Technologies, Computer Science, and related disciplines, preparing students for advanced education and careers across software development, AI, cybersecurity, and digital systems design.