General Information
This subject provides you with an opportunity to undertake extended in-depth research of a theoretical issue, a case study or an industrial practice. You will apply previously acquired advanced cognitive, research, analytical and writing skills to complete the project over two semesters. The final project articulates an organised and analytic piece of work of approximately 20,000-25,000 words and is supported by individual research of either a theoretical, experiential or empirical nature.
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Details
Academic unit: Faculty of Society & Design Subject code: HUMR72-701 Subject title: Major Research Project (Part A) Subject level: Postgraduate Semester/Year: January 2024 Credit points: 20.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Prescribed Consultation: x12 (Total hours: 6) - Weekly consultation with supervisor (30mins)
- Self-Directed Activity: x12 (Total hours: 234) - 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: Books
- Babbie, E (2021). The Practice of Social Research. 15th, Cengage
iLearn@Bond & Email: iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class 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 |
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Subject code: | HUMR72-701 |
Subject title: | Major Research Project (Part A) |
Subject level: | Postgraduate |
Semester/Year: | January 2024 |
Credit points: | 20.000 |
Timetable: | https://bond.edu.au/timetable |
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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: | Books
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iLearn@Bond & Email: | iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class 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 |
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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 extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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 Thesis Component Thesis Component 1: relevant chapters (agreement between the supervisor and students) submitted in week 5 (Friday, 5pm) 30.00% Week 5 1,2,3 Thesis Component Thesis Component 2: relevant chapters (agreement between the supervisor and students) submitted in week 11 (Friday, 5pm) 60.00% Week 11 1,2,3 Professionalism Conduct and behaviour appropriate to a professional environment. E.g. punctuality, attending learning sessions, preparedness, completion of homework, appropriate dress, appropriate verbal and non-verbal behaviour. 10.00% Ongoing 1,2,3 - * 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 |
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Thesis Component | Thesis Component 1: relevant chapters (agreement between the supervisor and students) submitted in week 5 (Friday, 5pm) | 30.00% | Week 5 | 1,2,3 |
Thesis Component | Thesis Component 2: relevant chapters (agreement between the supervisor and students) submitted in week 11 (Friday, 5pm) | 60.00% | Week 11 | 1,2,3 |
Professionalism | Conduct and behaviour appropriate to a professional environment. E.g. punctuality, attending learning sessions, preparedness, completion of homework, appropriate dress, appropriate verbal and non-verbal behaviour. | 10.00% | Ongoing | 1,2,3 |
- * 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. |
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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
Bond University‘s Student Code of Conduct Policy , Student Charter, Academic Integrity Policy and our Graduate Attributes guide expectations regarding student behaviour, their rights and responsibilities. Information on these topics can be found on our Academic Integrity webpage recognising that academic integrity involves demonstrating the principles of integrity (honesty, fairness, trust, professionalism, courage, responsibility, and respect) in words and actions across all aspects of academic endeavour.
Staff are required to report suspected misconduct. This includes all types of plagiarism, cheating, collusion, fabrication or falsification of data/content or other misconduct relating to assessment such as the falsification of medical certificates for assessment extensions. The longer term personal, social and financial consequences of misconduct can be severe, so please ask for help if you are unsure.
If your work is subject to an inquiry, you will be given an opportunity to respond and appropriate support will be provided. Academic work under inquiry will not be marked until the process has concluded. Penalties for misconduct include a warning, reduced grade, a requirement to repeat the assessment, suspension or expulsion from the University.
Feedback on assessment
Feedback on assessment will be provided to students according to the requirements of the Assessment Procedure Schedule A - Assessment Communication Procedure.
Whilst in most cases feedback should be provided within two weeks of the assessment submission due date, the Procedure should be checked if the assessment is linked to others or if the subject is a non-standard (e.g., intensive) subject.
Accessibility and Inclusion Support
Support is available to students where a physical, mental or neurological condition exists that would impact the student’s capacity to complete studies, exams or assessment tasks. For effective support, special requirement needs should be arranged with the University in advance of or at the start of each semester, or, for acute conditions, as soon as practicable after the condition arises. Reasonable adjustments are not guaranteed where applications are submitted late in the semester (for example, when lodged just prior to critical assessment and examination dates).
As outlined in the Accessibility and Inclusion Policy, to qualify for support, students must meet certain criteria. Students are also required to meet with the Accessibility and Inclusion Advisor who will ensure that reasonable adjustments are afforded to qualifying students.
For more information and to apply online, visit BondAbility.
Additional subject information
Subject curriculum
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The subject contents: The guideline
The subject contents in this subject are a guideline for students to demonstrate the process and timelines of the project, and to assist with time management. Details may change depending on the supervisor's decisions and other factors such as ethics committee approval. Students should aim to complete 70-80% of the dissertation/portfolio by week 1 of the second semester of their enrollment.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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: Research Project: Research dissertation or Professional Portfolio
What is a research dissertation? What is a professional portfolio? The procedure and the components of the work involved in writing a dissertation.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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: Approving the topic
Discussion and approval of a chosen dissertation/portfolio topic and what to do next; Preparing the research ethics committee submission where necessary.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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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Weeks 2-5: Background research and data collection
The writing process begins. Background research & data collection for the dissertation/portfolio; Development of research bibliography and data collection.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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: Research proposal for dissertation; Portfolio framework
Submit and present research proposal: methodology: research questions, etc. Outline of the Literature Review chapter; Data collection and Research continue.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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 6: Data and Results
Analysis of data results and outline of the whole dissertation; the procedure may change depending on the need for ethics committee approval.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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: Completion and submission of two chapters/portfolio sections
Literature Review and Methodology chapter submission; portfolio sections submission.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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 11-14: References and Discussion chapter
Completion of the References and commencement of the Discussion chapter, Completion of the framework and draft of the main portfolio body.
SLOs included
- Demonstrate expert knowledge of research methodology and data visualisation to identify, synthesise and interpret extensive complex issues in their chosen discipline of study.
- Employ independent expert research skills to generate and communicate extensive 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.