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Introduction to Digital Thinking (EDUC90973)
Graduate courseworkPoints: 12.5Not available in 2019
Overview
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This subject is offered to Master of Teaching (Secondary) students who wish to have some generalist understanding of the Australian Curriculum: Digital Technologies. This subject will provide students with knowledge and skills to teach the Digital Technologies curriculum in secondary schools. It will have a strong focus on computational or algorithmic thinking, and develop digital solutions to complex problems. These skills are internationally and nationally recognised as significant learning areas for Teacher Candidates in schools.
This subject will familiarise students with key state and national curriculum policy statements and guidelines. This subject is open to Master of Teaching (Secondary) students from all learning areas. Students will design solutions and critically evaluate their own, and their peers', work. They will analyse data to create information that supports a solution to a problem.
Intended learning outcomes
On completion of this subject students will be able to:
- Design learning experiences for students that support the development of computational thinking
- Design and model real-world problems for Teacher Candidates' learning areas
- Design computational solutions to complex problems
- Utilise digital technologies to expand learning opportunities for students
Last updated: 10 February 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Knowledge of the Australian Curriculum structure and expectations
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 10 February 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Written reflection: Identify a problem within your learning area and suggest computational methods to solve this problem.
| Mid semester | 30% |
Written Report: Design and implement a solution for the problem identified in Task 1. Critically evaluate the solution for effectiveness.
| End of semester | 70% |
Peer feedback
| Throughout the semester | N/A |
Last updated: 10 February 2024
Dates & times
Not available in 2019
Time commitment details
170 hours
Last updated: 10 February 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 10 February 2024