Digital technologies 2015 eq workshop
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The document discusses the evolving landscape of digital technologies education within the Australian curriculum, emphasizing the need for a robust curriculum that incorporates computing and computational thinking from a young age. It outlines various educational goals, frameworks, and proposed skills, including programming, data management, and ethical considerations in technology use. Additionally, it critiques the traditional ICT curriculum while suggesting improvements to enhance the relevance and enjoyment of learning in technology for students.
Digital technologies 2015 eq workshop
- 1. Digital Technologies What Now? Australian Curriculum: Technologies
- 3. Lecturer Griffith University School of Education and Professional Studies Gold Coast
- 4. Teaching
- 5. Research
- 6. Service
- 8. Melbourne Declaration 2008 on Educational Goals for Young Australians
- 9. Melbourne Declaration Information and Communication Technology and Design and Technology
- 13. Engineering a Software Engineering Mathematics a Computer Science Business a Information Systems
- 14. Engineering a Software Engineering Mathematics a Computer Science Business /Graphics a ICT
- 15. Engineering a Software Engineering Mathematics a Computer Science Business /Graphics a ICT
- 16. Engineering a Software Engineering Mathematics a Computer Science Business /Graphics a ICT
- 17. Software Engineering Digital Technologies a Computer Science ICT General Capability a ICT
- 19. 1:54
- 20. UK dis-application ICT as a subject name carries negative connotations of a dated and unchallenging curriculum that does not serve the needs and ambitions of pupils. Changing the subject name of ICT to computing will not only improve the status of the subject but also more accurately reflect the breadth of content included in the proposed new programmes of study Education secretary Michael Gove MP January 2012
- 21. I remember being at school and using early computers. Yes, I was in computer club - and I loved it. I think we’ve lost some of that sense of joy and excitement in computing, and have just become focused on just training kids to use Windows. We want to bring some of that excitement back. September 2013 Elizabeth Truss Parliamentary Under Secretary of State for Education and Childcare
- 22. Coding - one of the essential skills of the 21st century - will now start at age 5. We are aiming to develop one of the most rigorous computing curricula in the world, where pupils will learn to handle detailed, abstract computing processes and over-11s will learn 2 programming languages (one of which must be textual). September 2013 Elizabeth Truss Parliamentary Under Secretary of State for Education and Childcare
- 24. AIMS Design, create, manage and evaluate sustainable and innovative digital solutions to meet and redefine current and future needs Use computational thinking and the key concepts of abstraction; data collection, representation and interpretation; specification, algorithms and implementation to create digital solutions Confidently use digital systems to efficiently and effectively automate the transformation of data into information and to creatively communicate ideas in a range of settings Apply protocols and legal practices that support safe, ethical and respectful communications and collaboration with known and unknown audiences Apply systems thinking to monitor, analyse, predict and shape the interactions within and between information systems and the impact of these systems on individuals, societies, economies and environments
- 25. Systems Thinking Computational Thinking Design Thinking Futures Thinking Projects
- 26. Engineering principles and systems Food and fibre production Food specialisations Materials and technologies specialisations
- 27. Information systems Information technology Computer science Software engineering Computer engineering
- 28. Processes and production skills Collecting, managing and analysing data / Creating digital solutions by: defining designing implementing evaluating collaborating and managing
- 29. Collecting, managing and analysing data, which involves the nature and properties of data, how they are collected and interpreted using a range of digital systems and peripheral devices and interpreting data when creating information Defining problems and designing digital solutions (Foundation – Year 2), which develops into defining problems and designing, implementing and evaluating solutions that have been developed by students, and evaluating how well existing information systems meet different needs (Year 3 – 10) Communicating ideas and information (Foundation – Year 4), which develops into managing, creating and communicating ideas and information (Year 5 – 6) through to independently and collaboratively managing projects to create interactive solutions (Year 7 – 10). This involves creating and communicating information, especially online by creating websites, and interacting safely using appropriate technical and social protocols.
- 30. Knowledge and understanding Digital systems the components of digital systems: hardware, software and networks and their use Representation of data how data are represented and structured symbolically
- 31. Abstraction Data Collection, Data Representation and Data Interpretation Specification, Algorithms and Implementation Digital Systems Interactions and Impacts
- 32. Abstraction which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation
- 33. Computational Thinking which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation
- 34. Data: Collection, Representation and Interpretation Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts)
- 35. Information Systems Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts)
- 36. Specification, Algorithms and Implementation Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming)
- 37. Software Development Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming)
- 38. Digital Systems Digital systems (hardware, software, and networks and the internet)
- 39. Computer Systems Digital systems (hardware, software, and networks and the internet)
- 40. Interactions and Impacts Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment).
- 41. Human Computer Interactions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment).
- 42. Multimedia?
- 43. 1:08
- 44. Resources?
- 45. 1:46
- 46. Blockly Scratch Scratch Junior MIT App Inventor
- 47. 0:36
- 51. 1:17
- 52. CS Unplugged
- 53. Computational Fairy Tales The Ant and the Grasshopper: A Fable of Algorithms (Algorithms) Bullies, Bubble Sort, and Soccer Tickets (Bubble Sort) Hunting Dragons with Binary Search (Binary Search) Binary Searching for Cinderella (Binary Search) Goldilocks and the Two Boolean Bears (Boolean) The Tortoise, the Hare, and 50000 Ants (Parallel Algorithms)
- 54. Computational Fairy Tales The ant paused for a moment while he thought. "It is the algorithm that we use," he finally replied. "Algorithm?" asked the grasshopper. "A set of steps or instructions for accomplishing a task," explained the ant. "Like when a carpenter builds a chair, he uses an algorithm that includes measuring, cutting, smoothing, and hammering." "What task does your algorithm solve?" asked the grasshopper. "Does it solve the problem of having too much time during the summer?" He chuckled out loud at his own joke.
- 56. SQL Fiddle
- 60. Systems Thinking Computational Thinking Design Thinking Futures Thinking Projects
- 62. 0:40
- 63. Computational Thinking "Computational thinking is a fundamental skill for everyone, not just for computer scientists. To reading, writing, and arithmetic, we should add computational thinking to every child’s analytical ability." Jannette Wing
- 64. 2:43
- 66. Analysis - the process of breaking the complex into smaller parts to gain a better understanding of it.
- 67. Decomposition
- 70. Algorithm Design
- 74. Contexts Computation Thinking Key Concepts Possible Units Outcomes Addressed Thinking Perspectives Information systems Analyzing and logically organizing data Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts) Dynamic (database driven) disaster awareness website for local community Collecting , managing and analysing data Defining Designing Implementing Evaluating Collaborating and managing Systems (Information, Disaster Response, Natural, Communication) Design (Information is designed) Futures (What might occur and be needed) Information technology Data modeling, data abstractions, and simulations Digital systems (hardware, software, and networks and the internet) Setting up and managing an isolated network with file serving, webserver and email Digital systems Defining Designing Implementing Evaluating Collaborating and managing Systems (Computer, Software, Network, Communication) Design (Networks are designed) Futures (Personal networks of the future) Projects Computer science Formulating problems such that computers may assist Abstraction, which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation Encryption / Decryption software system Representation of data Collecting , managing and analysing data Defining Designing Implementing Evaluating Systems (Security Communication) Design (Communication is designed) Futures (Cracking technologies) Projects Software engineering Automating solutions via algorithmic thinking Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming) Game or Mobile App development Defining Designing Implementing Evaluating Collaborating and managing Systems (Software, Usability) Design (Software is designed) Futures (Changes in games / apps, what might come next) Projects Computer engineering Identifying, testing, and implementing possible solutions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Robotic / Automation solution to a problem, Artificial Intelligence Defining Designing Implementing Evaluating Collaborating and managing Systems (Automation systems, AI systems) Design (Automation is designed) Futures (What jobs will disappear to automation) Projects Computer engineering Generalizing and applying a process to other problems Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Taking an existing digital or non digital solution to a problem and creating a new and improved digital solution to that problem Digital systems Defining Designing Implementing Evaluating Collaborating and managing Systems (Problems as a conflict in systems) Design (Problems can be addressed through good design) Futures (What problems need solutions)
- 75. Contexts Information systems Information technology Computer science Software engineering Computer engineering Computer engineering
- 76. Contexts Computation Thinking Information systems Analysing and logically organising data Information technology Data modeling, data abstractions, and simulations Computer science Formulating problems such that computers may assist Software engineering Automating solutions via algorithmic thinking Computer engineering Identifying, testing, and implementing possible solutions Computer engineering Generalizing and applying a process to other problems
- 77. Contexts Computation Thinking Key Concepts Information systems Analysing and logically organising data Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts) Information technology Data modeling, data abstractions, and simulations Digital systems (hardware, software, and networks and the internet) Computer science Formulating problems such that computers may assist Abstraction, which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementationSoftware engineering Automating solutions via algorithmic thinking Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming) Computer engineering Identifying, testing, and implementing possible solutions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Computer engineering Generalizing and applying a process to other problems Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment)
- 78. Contexts Computation Thinking Key Concepts Possible Units Information systems Analysing and logically organising data Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts) Dynamic (database driven) disaster awareness website for local community Information technology Data modeling, data abstractions, and simulations Digital systems (hardware, software, and networks and the internet) Setting up and managing an isolated network with file serving, webserver and email Computer science Formulating problems such that computers may assist Abstraction, which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation Encryption / Decryption software system Software engineering Automating solutions via algorithmic thinking Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming) Game or Mobile App development Computer engineering Identifying, testing, and implementing possible solutions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Robotic / Automation solution to a problem, Artificial Intelligence Computer engineering Generalizing and applying a process to other problems Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Taking an existing digital or non digital solution to a problem and creating a new and improved digital solution to that problem
- 79. Contexts Computation Thinking Key Concepts Outcomes Addressed Information systems Analysing and logically organising data Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts) Collecting , managing and analysing data Defining Designing Implementing Evaluating Collaborating and managing Information technology Data modeling, data abstractions, and simulations Digital systems (hardware, software, and networks and the internet) Digital systems Defining Designing Implementing Evaluating Collaborating and managing Computer science Formulating problems such that computers may assist Abstraction, which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation Representation of data Collecting , managing and analysing data Defining Designing Implementing Evaluating Software engineering Automating solutions via algorithmic thinking Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming) Defining Designing Implementing Evaluating Collaborating and managing Computer engineering Identifying, testing, and implementing possible solutions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Defining Designing Implementing Evaluating Collaborating and managing Computer engineering Generalizing and applying a process to other problems Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Digital systems Defining Designing Implementing Evaluating Collaborating and managing
- 80. Contexts Computation Thinking Thinking Perspectives Information systems Analysing and logically organising data Systems (Information, Disaster Response, Natural, Communication) Design (Information is designed) Futures (What might occur and be needed) Projects Information technology Data modeling, data abstractions, and simulations Systems (Computer, Software, Network, Communication) Design (Networks are designed) Futures (Personal networks of the future) Projects Computer science Formulating problems such that computers may assist Systems (Security Communication) Design (Communication is designed) Futures (Cracking technologies) Projects Software engineering Automating solutions via algorithmic thinking Systems (Software, Usability) Design (Software is designed) Futures (Changes in games / apps, what might come next) Projects Computer engineering Identifying, testing, and implementing possible solutions Systems (Automation systems, AI systems) Design (Automation is designed) Futures (What jobs will disappear to automation) Projects Computer engineering Generalizing and applying a process to other problems Systems (Problems as a conflict in systems) Design (Problems can be addressed through good design) Futures (What problems need solutions) Projects
- 81. Systems Thinking Computational Thinking Design Thinking Futures Thinking Projects
- 82. Contexts Computation Thinking Key Concepts Possible Units Outcomes Addressed Thinking Perspectives Information systems Analysing and logically organising data Data collection (properties, sources and collection of data), data representation (symbolism and separation) and data interpretation (patterns and contexts) Dynamic (database driven) disaster awareness website for local community Collecting , managing and analysing data Defining Designing Implementing Evaluating Collaborating and managing Systems (Information, Disaster Response, Natural, Communication) Design (Information is designed) Futures (What might occur and be needed) Information technology Data modeling, data abstractions, and simulations Digital systems (hardware, software, and networks and the internet) Setting up and managing an isolated network with file serving, webserver and email Digital systems Defining Designing Implementing Evaluating Collaborating and managing Systems (Computer, Software, Network, Communication) Design (Networks are designed) Futures (Personal networks of the future) Projects Computer science Formulating problems such that computers may assist Abstraction, which underpins all content, particularly the content descriptions relating to the concepts of data representation and specification, algorithms and implementation Encryption / Decryption software system Representation of data Collecting , managing and analysing data Defining Designing Implementing Evaluating Systems (Security Communication) Design (Communication is designed) Futures (Cracking technologies) Projects Software engineering Automating solutions via algorithmic thinking Specification (descriptions and techniques), algorithms (following and describing) and implementation (translating and programming) Game or Mobile App development Defining Designing Implementing Evaluating Collaborating and managing Systems (Software, Usability) Design (Software is designed) Futures (Changes in games / apps, what might come next) Projects Computer engineering Identifying, testing, and implementing possible solutions Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Robotic / Automation solution to a problem, Artificial Intelligence Defining Designing Implementing Evaluating Collaborating and managing Systems (Automation systems, AI systems) Design (Automation is designed) Futures (What jobs will disappear to automation) Projects Computer engineering Generalizing and applying a process to other problems Interactions (people and digital systems, data and processes) and impacts (sustainability and empowerment) Taking an existing digital or non digital solution to a problem and creating a new and improved digital solution to that problem Digital systems Defining Designing Implementing Evaluating Collaborating and managing Systems (Problems as a conflict in systems) Design (Problems can be addressed through good design) Futures (What problems need solutions)
- 83. Who is going to teach it?
- 85. Computer education has not worked…
- 86. Griffith University Dr Jason Zagami www.zagami.info