This is a huge bundle that contains about 150 words (in total) for your students to search for and can be used throughout a term and across multiple subject areas as desired. It has been designed for the NQT and experienced teachers seeking to maintain effective communication and class control throughout each lesson and upgrade their students’ performance. The whole idea is to keep your students dutifully engaged and avoid the headaches! This is can be used as a starter, in-class activity, homework and revision. One of the best features of this, is that is comes with answer sheet for teachers who may want to correctly evaluate each student’s work. Don’t forget to add this to your cart.

This resource has been strategically differentiated for teachers and students with very little time to waste. The questions follow the National curriculum for ICT and will be suitable for students in Year 8 but can also be used as separated activities and assessments for students in Year 7.

This is undoubtedly the best and most interactive teacher and student resource on internet security. It actively covers sub-topics such as Private Today - Public Tomorrow, Copyright and discusses the risks and consequences of sharing private information online. This resource comes with additional features such as: four (4) class activities; a lesson starter; three (3) videos; pre-designed learning objectives and a take-home assignment that fully cuts across different year groups.

This product covers the entire Cambridge International A-Level Computer Science 9618 Paper 4 content for exams in June and November 2021, 2022, 2023. This product contains up to 30 practical videos and worked examples in Python from through binary search, bubble sort, imperative programming, and all the way to object-oriented programming (OOP) in its most simplified way that ultimately encourages learners to meet the needs of Higher education courses in computer science as well as twenty-first-century digital employers. It further encourages learners to think creatively, through applying practical programming solutions, demonstrating that they are effective users of technology. Some of the sub-topics include: Show understanding of linear and binary searching methods; Show understanding of insertion sort and bubble sort methods; Show understanding of and use Abstract Data Types (ADT); Use of Big O notation to specify time and space complexity; How recursion is expressed in a programming language; Write and trace recursive algorithms; When the use of recursion is beneficial and Understanding of the terminology associated with OOP (including objects, properties, methods, classes, inheritance, polymorphism, containment (aggregation), encapsulation, getters, setters, instances).

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"Unlock the power of Python’s One-Dimensional Arrays with this comprehensive tutorial designed for computer science teachers and students alike! Dive deep into the fundamental concepts of one-dimensional arrays and elevate your understanding with simplified explanations, practical examples, and step-by-step guidance. Whether you’re a seasoned educator seeking to enrich your curriculum or a passionate student eager to master this essential data structure, our tutorial equips you with the knowledge and skills needed to excel. From accessing and inserting elements to deleting, traversing, sorting, and aggregating data, each lesson is crafted to engage, inspire, and empower learners at every level. Discover the key to efficient data manipulation and computation in Python, and elevate your programming prowess today!"

Modern computer technology requires an understanding of both hardware and software, as the interaction between the two offers a framework for mastering the fundamentals of computing. The purpose of this lesson is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software. In this course, you will study the history of modern computing technology before learning about modern computer architecture and a number of its essential features, including instruction sets, processor arithmetic and control, the Von Neumann architecture, memory management, storage, and other input/output topics. This lesson contains students’ notes, videos, a quiz and answers, learning objectives and images that will enhance the basic concepts of computer architecture –computer components, computer history and relevance. At the end of the lesson, learners are expected to: · Describe the progression of computer architecture with thedevelopment history of hardware and software · Explain the organization of the classical Von Neumann machine and its major functional units. · Understand the computer system organization and structure in general · Able to differentiate computer organization and architecture

“Artificial Intelligence for Teachers” is your essential guide to understanding and implementing AI in the classroom. This comprehensive e-book equips educators with the knowledge and tools to enhance teaching methods, personalize student learning experiences, and streamline administrative tasks using AI technology. Discover practical applications, real-world examples, and step-by-step instructions that will transform your approach to education. Perfect for teachers at all levels, this resource will help you stay ahead in the evolving landscape of education technology. Embrace the future of teaching with “Artificial Intelligence for Teachers” and unlock the potential of AI to elevate your educational impact.

Python is one of the easiest programming languages to learn, thanks to its clear, natural syntax. This is why leading exam boards like Edexcel, Cambridge, and OCR have integrated Python into their Computer Science assessments, from GCSE to A-Level. Designed for both teachers and students, this resource promotes creative thinking and practical programming skills that align with the needs of higher education and today’s digital employers. Why You Need This Resource: 150 Expertly Curated Python Questions & Solutions: Build your skills with real-world examples and detailed answers. Comprehensive Coverage: Tackle key topics like Computational Thinking, Data Types, Arrays, Algorithms, and more. Exam-Focused: Ideal for International GCSE and A-Level exams, helping you master Python for top grades. Hands-On Learning: Practice with pseudocode, loops, functions, and structured programming exercises. Boost Coding Confidence: Perfect for teachers prepping lessons or students preparing for exams! This resource is your go-to guide for mastering Python in Computer Science, ensuring success in exams and beyond. Don’t miss out—unlock your potential today!