| Effective Term: | 2027/05 |
| Institute / School : | Institute of Health and Wellbeing |
| Unit Title: | Principles of Research in Exercise Science |
| Unit ID: | EXSCI1704 |
| Credit Points: | 15.00 |
| Prerequisite(s): | Nil |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 010103 |
| Other Change: | |
| Brief description of the Unit |
This unit is designed to introduce students to the fundamentals of statistics used within the field of Exercise and Sport Science including coaching, athletic training, rehabilitation and health. It will provide background knowledge in qualitative and quantitative research paradigms, including research design, ethical issues, data analysis techniques, interpretation of findings and research report writing. Students will work on tasks which require them to analyse and report data to assist them in developing research and evaluation competencies, and appreciating the importance and applications of research, critical thinking, and statistics in the field of exercise science. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| Skills: |
| Application of knowledge and skills: |
| Other outcomes: |
| O1. | Describe qualitative and quantitative research designs used in exercise and sport science and their applications. |
|
| O2. | Explain ethical principles in research and identify the ethical applications and limitations of artificial intelligence (AI) in academic and research contexts. |
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| O3. | Use primary research databases to locate, evaluate, critique, and apply peer-reviewed exercise science literature relevant to a research question or contemporary issue. |
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| O4. | Classify types and levels of data commonly collected in exercise science research and select appropriate approaches for data analysis. |
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| O5. | Calculate, interpret and report descriptive and inferential statistics, and identify trends or themes in qualitative data. |
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| O6. | Communicate research findings in a structured technical report using appropriate academic writing, evidence integration and APA referencing. |
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| Unit Content: |
This unit will focus on concepts such as: - Introduction to research, using the literature
- Types of research study designs
- Ethical issues in research and scholarship
- Becoming acquainted with statistical concepts
- Quantitative research
- Qualitative research
- Mixed-methods research
- Completing the research process, and ways of reporting research
|
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | Professional Standards |
| 1. |
1, 2, 3 |
Attendance and active participation in laboratory classes to demonstrate competency in practical skills. |
90% attendance at active learning sessions. |
S/U |
|
| 2. |
3, 6 |
Utilise research databases to conduct and critically review contemporary literature. |
Literature review. |
20-40% |
|
| 3. |
4, 5, 6 |
Analyse and evaluate data provided for a research topic and develop and present a report. |
Research report. |
30-50% |
|
| 4. |
1, 2, 4 |
Review of research principles presented in the unit. |
Exam. |
30-50% |
|
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