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Overview
The utilisation of student achievement data and systematic research in educational contexts is standard practice in schools for improving student outcomes and systems of operation. In this Leading Data-Based Change Management unit at Excelsia College, data-based decision-making and research-based practice are critiqued and examined using theory to clarify what it means to use data or to make research-informed choices.
Key Features
Learning occurs through prescribed reading and research, class discussions and activities, case study analysis, project work, written work and research. This unit may include online presentation using a range of content-based and interactive learning materials, objects and strategies. The unit is supported at every offering by access to an online lecturer and to the resources and student support services of the College.
Formal assessment is a mandatory part of this course. In order to successfully complete the course, you must pass all assessments and ensure you adhere to the relevant due dates. Details of the specific assessment requirements can be found by contacting the school of Education.
Programme Structure
Outcomes:
- Identify, explain and communicate the value and danger of data in a range of contexts including individual context, school, national and global contexts in an era of accountability and transparency.
- Critically reflect on a positivist research-based understanding of data in the curriculum and its use for students in Assessment for Learning.
- Evidence the development of skills in using data for individual and whole school reporting and assessing student knowledge in literacy and numeracy.
- Demonstrate understanding of the role of positivist action research in data collection and use in schools and classrooms.
- Demonstrate that they can understand the differences in sociological advantage in their approaches to the use of data, and that they can communicate their own data philosophy towards personalised learning and communities of practice from a faith-based perspective.
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
Language
English
Delivered
Online
Disciplines
Management Studies Data Science & Big Data View 25 other Short Courses in Data Science & Big Data in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Our Professional Development courses in education leverage the resources of Education school and are delivered by instructors that are eager to share their real-world professional practices. Our tuition is designed to give students skills that will instantly translate into positive results in the real world.
- They are delivered online mainly. Minimum English language required.
Tuition Fee
To always see correct tuition fees
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International
2166 AUD/fullTuition FeeBased on the tuition of 2166 AUD for the full programme during 3 months. -
National
2166 AUD/fullTuition FeeBased on the tuition of 2166 AUD for the full programme during 3 months.
Funding
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