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LinkedList using Arrays
Anping2020Anping2020

LinkedList using Arrays

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This trace table is designed to help students better understand linked lists with arrays, in alignment with the 9618 syllabus requirements. Linked lists using arrays can be a challenging concept, but this worksheet provides a clear and structured approach to make it easier for students to grasp. It breaks down the process step by step, offering a practical way to visualise and understand the relationship between arrays and linked lists.
Snake and Ladder Revision Game
Anping2020Anping2020

Snake and Ladder Revision Game

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This Snake and Ladder game is specifically designed to reinforce key concepts covered in the AL CS course, including data representation, machine learning, object-oriented programming (OOP), and user-defined databases, among other related topics. Each question has been carefully crafted to promote critical thinking, encouraging students to research and apply their knowledge in a meaningful way. As players progress, they will engage with complex ideas and problem-solving techniques, fostering deeper understanding of the course material.
Artificial Intelligence
Anping2020Anping2020

Artificial Intelligence

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This PowerPoint aligns with the 9618 syllabus objectives for Artificial Intelligence, offering: Content: Clear explanations of AI concepts. Analogies: Simplified comparisons for better understanding. Activities: Hands-on exercises for practical learning. Quiz: End-of-lesson assessments to reinforce learning. Notes: Notes are included to enhance delivery and provide additional context, making it suitable for teachers and self-learners.
Artificial Intelligence Bundle
Anping2020Anping2020

Artificial Intelligence Bundle

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This Artificial Intelligence Resource Bundle for high school students covers essential concepts in Machine Learning (ML) and Deep Learning (DL). The bundle includes: A PowerPoint presentation with notes, analogy, plenary task that introduces key AI topics. A worksheet with solution to reinforce understanding and practice. Two quizzes with solution to assess comprehension and retention. A self-reflection checklist to help students evaluate their confidence and understanding of the material. Extension activities, including coding tasks with clear, step-by-step instructions for linear regression, logistic regression, clustering, and artificial neural networks. These tasks are accompanied by the necessary datasets and are designed to be manageable and beginner-friendly. This comprehensive bundle is designed to provide students with a solid foundation in AI concepts while offering hands-on experience with coding and data analysis.