General Information
This subject provides you with an opportunity to apply research methodology and data visualisation skills to a specific project in you selected discipline of study. You will select a research topic of your choice to explore either theoretical issues or industrial practices. In this subject, you will work individually, under supervision, to demonstrate skills of analytical research to complete a research paper or a professional portfolio.
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Details
Academic unit: Faculty of Society & Design Subject code: HUMR71-705 Subject title: Research Project A Subject level: Postgraduate Semester/Year: January 2022 Credit points: 10.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Prescribed Consultation: x12 (Total hours: 6) - Weekly consultation with supervisor (30mins) per week.
- Self-Directed Activity: x12 (Total hours: 114) - Research Activity
Attendance and learning activities: This is a recommended guide on how students should schedule their work in this subject to maximise the outcomes. The guide aims to help students keep track of their progress during the semester. Please note this is a guide only and the final course of work will be finalised between students and their supervisor. It is the student's responsibility to attend supervisory meetings and contact the supervisor regularly to ensure the timely progress of their project development. Deadlines for project components form an essential part of the research process. -
Resources
Prescribed resources: No Prescribed resources.
After enrolment, students can check the Books and Tools area in iLearn for the full Resource List.iLearn@Bond & Email: iLearn@Bond is the online learning environment at Bond University and is used to provide access to subject materials, lecture recordings and detailed subject information regarding the subject curriculum, assessment and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student. To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au
| Academic unit: | Faculty of Society & Design |
|---|---|
| Subject code: | HUMR71-705 |
| Subject title: | Research Project A |
| Subject level: | Postgraduate |
| Semester/Year: | January 2022 |
| Credit points: | 10.000 |
| Timetable: | https://bond.edu.au/timetable |
|---|---|
| Delivery mode: | Standard |
| Workload items: |
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| Attendance and learning activities: | This is a recommended guide on how students should schedule their work in this subject to maximise the outcomes. The guide aims to help students keep track of their progress during the semester. Please note this is a guide only and the final course of work will be finalised between students and their supervisor. It is the student's responsibility to attend supervisory meetings and contact the supervisor regularly to ensure the timely progress of their project development. Deadlines for project components form an essential part of the research process. |
| Prescribed resources: | No Prescribed resources. After enrolment, students can check the Books and Tools area in iLearn for the full Resource List. |
|---|---|
| iLearn@Bond & Email: | iLearn@Bond is the online learning environment at Bond University and is used to provide access to subject materials, lecture recordings and detailed subject information regarding the subject curriculum, assessment and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student. To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au |
Enrolment requirements
| Requisites: |
Nil |
|---|---|
| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge. Assumed Prior Learning (or equivalent):
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| Restrictions: |
Nil |
Assurance of learning
Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.
At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.
Program Learning Outcomes (PLOs)
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
Generative Artificial Intelligence in Assessment
The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.
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Assessment details
Type Task % Timing* Outcomes assessed Project Plan Research Project Part 1: Literature Review and/or Methodology and References or another appropriate part of the project (week 5, Friday, 5pm) 30.00% Week 5 1,2,3 Project Report Research Project Part 2: Final Research Report (Week 13, Monday, 9am; approx. 6,000 words) 60.00% Week 13 1,2,3 *Class Participation Preparation for and contribution to supervisory meetings 10.00% Progressive 1,2 - * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
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Assessment criteria
Assessment criteria
High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment. Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
| Type | Task | % | Timing* | Outcomes assessed |
|---|---|---|---|---|
| Project Plan | Research Project Part 1: Literature Review and/or Methodology and References or another appropriate part of the project (week 5, Friday, 5pm) | 30.00% | Week 5 | 1,2,3 |
| Project Report | Research Project Part 2: Final Research Report (Week 13, Monday, 9am; approx. 6,000 words) | 60.00% | Week 13 | 1,2,3 |
| *Class Participation | Preparation for and contribution to supervisory meetings | 10.00% | Progressive | 1,2 |
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
Assessment criteria
| High Distinction | 85-100 | Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. |
|---|---|---|
| Distinction | 75-84 | Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. |
| Credit | 65-74 | Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. |
| Pass | 50-64 | Usually awarded to students whose performance meets the requirements set for work provided for assessment. |
| Fail | 0-49 | Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. |
Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Study Information
Submission procedures
Students must check the iLearn@Bond subject site for detailed assessment information and submission procedures.
Policy on late submission and extensions
A student who has not established a basis for an extension in compliance with University and Faculty policy either by 1) not applying before the assessment due date or 2) by having an application rejected due to failure to show a justifiable cause for an extension, will receive a penalty on assessment submitted after its due date. The penalty will be 10% of marks awarded to that assessment for every day late, with the first day counted after the required submission time has passed. No assessment will be accepted for consideration seven calendar days after the due date. Where a student has been granted an extension, the late penalty starts from the new due date and time set out in the extension.
Academic Integrity
University’s Academic Integrity Policy defines plagiarism as the act of misrepresenting as one’s own original work: another’s ideas, interpretations, words, or creative works; and/or one’s own previous ideas, interpretations, words, or creative work without acknowledging that it was used previously (i.e., self-plagiarism). The University considers the act of plagiarising to be a breach of the Student Conduct Code and, therefore, subject to the Discipline Regulations which provide for a range of penalties including the reduction of marks or grades, fines and suspension from the University.
Bond University utilises Originality Reporting software to inform academic integrity.Feedback on assessment
Feedback on assessment will be provided to students within two weeks of the assessment submission due date, as per the Assessment Policy.
Accessibility and Inclusion Support
If you have a disability, illness, injury or health condition that impacts your capacity to complete studies, exams or assessment tasks, it is important you let us know your special requirements, early in the semester. Students will need to make an application for support and submit it with recent, comprehensive documentation at an appointment with a Disability Officer. Students with a disability are encouraged to contact the Disability Office at the earliest possible time, to meet staff and learn about the services available to meet your specific needs. Please note that late notification or failure to disclose your disability can be to your disadvantage as the University cannot guarantee support under such circumstances.
Additional subject information
Subject curriculum
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The guideline
This is a recommended guide on how students should schedule their work in this subject to maximise the outcomes. The guide aims to help students keep track of their progress during the semester. Please note this is a guide only and the final course of work will be finalised between students and their supervisor. It is a student's responsibility to organise, prepare and attend the supervisory meetings.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 1: Topic area selected
Students discuss possible topics of the research project or a portfolio with their supervisor.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 2: Topic approved
Students finalise the topic of the research project or a portfolio, outline their projects and start relevant reading and writing.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 4: Outline of the project & background research
Students have the outline of their project completed and their background research under way.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 5: Submission of the Literature Review
Students complete and submit the draft of Literature Review by Friday, week 5, 5pm.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 8: Submission of the first complete draft
Students write and submit a full draft in order to receive feedback before their final submission.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 10: Review of the first draft
Students revise their first draft based on the feedback they receive from the supervisor.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.
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Week 13: Final submission of the research project
Research Project Part 2: Final Research Report (Week 13, Monday, 9am; approx. 6,000 words)
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate solutions to complex issues in their chosen discipline of study.
- Apply knowledge of and the skills in research methodology and data visualisation to new contexts, demonstrating autonomy, expert judgement, adaptability and responsibility as a practitioner or learner.