Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Postgraduate Coursework
- Location
- External
- Attendance mode
- Online
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Human Movement & Nutrition Sci
The aim of this course is to broaden your knowledge and understanding of your coaching and the coaching environment more generally. Students will develop, implement and evaluate a research intervention program to enhance personal coaching quality.
Course requirements
Assumed background
Because this course requires students to undertake structured reflections throughout the modules,ﾠit is important that they be currently coaching wherever possible.
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
SPCG6027
Incompatible
You can't enrol in this course if you've already completed the following:
SPCG7003
Course contact
Course staff
Lecturer
Mr Bjorn Galjaardt
Associate Professor Steven Rynne
Aims and outcomes
This course aims to broaden your knowledge and understanding of your own coaching practices. Moreover, students will be guided through a formalised process of reflecting upon and developing the quality of their coaching.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Demonstrate an awareness and understanding of Action Research and its relevance to improving coaching practice.
LO2.
Critically evaluate a variety of components of coaching beyond superficial notions of what comprises coaches' work.
LO3.
Engage with Action Research related to personal coaching practices.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation |
Understanding Action Research
|
15% |
18/08/2025 1:00 pm |
| Paper/ Report/ Annotation, Reflection | Designing Action Research | 25% |
15/09/2025 1:00 pm |
| Paper/ Report/ Annotation, Reflection | Conducting and Communicating Action Research | 60% |
10/11/2025 1:00 pm |
Assessment details
Understanding Action Research
- Online
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 15%
- Due date
18/08/2025 1:00 pm
- Learning outcomes
- L01
Task description
Written seminar submission
Submission guidelines
Submit via Blackboard.
If students experience difficulties submitting assessment tasks, they should (by the due date/time):
- Email a copy of the assessment task to the Course Coordinator.
- Include a screenshot of the error message.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Designing Action Research
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Reflection
- Weight
- 25%
- Due date
15/09/2025 1:00 pm
- Learning outcomes
- L01, L03
Task description
Action Research project proposal
Submission guidelines
Submit via Blackboard.
If students experience difficulties submitting assessment tasks, they should (by the due date/time):
- Email a copy of the assessment task to the Course Coordinator.
- Include a screenshot of the error message.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Conducting and Communicating Action Research
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Reflection
- Weight
- 60%
- Due date
10/11/2025 1:00 pm
- Learning outcomes
- L01, L02, L03
Task description
Action Research project submission
Submission guidelines
Submit via Blackboard.
If students experience difficulties submitting assessment tasks, they should (by the due date/time):
- Email a copy of the assessment task to the Course Coordinator.
- Include a screenshot of the error message.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 24 |
Absence of evidence of achievement of course learning outcomes. Course grade description: See assessment matrix for details |
| 2 (Fail) | 25 - 44 |
Minimal evidence of achievement of course learning outcomes. Course grade description: See assessment matrix for details |
| 3 (Marginal Fail) | 45 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: See assessment matrix for details |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: See assessment matrix for details |
| 5 (Credit) | 65 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: See assessment matrix for details |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: See assessment matrix for details |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: See assessment matrix for details |
Additional course grading information
A final percentage mark will be rounded to the nearest whole number (e.g. 64.50 and above will be rounded to 65 and 64.49 and below will be rounded down to 64.)
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Use of generative Artificial Intelligence (AI) or Machine Translation (MT)
The tasks in the course have been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessments in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
To pass these assessments, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks From Week 1 To Week 3 |
Seminar |
Understanding Action Research Self-paced module that introduces Action Research in the context of this course Learning outcomes: L01 |
Multiple weeks From Week 4 To Week 7 |
Seminar |
Designing Action Research Self-paced module that will assist in the design of your Action Research project. Learning outcomes: L01, L03 |
Multiple weeks From Week 8 To Revision week |
Seminar |
Conducting and Communicating Action Research Self-paced module that you will complete in parallel with your Action Research project |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: