Outline

Overview

This unit of study is intended to be undertaken as one of the final units of study in the degree program as it acts as a capstone to the students learning. This unit requires students to draw on their prior learning from across all units of study in the degree program and further develops their graduate qualities. Students will demonstrate an understanding of evidencebased practice, with emphasis on the translation of evidence into practice using implementation science principals. Students will undertake either i) a critical literature review (e.g. systematic or integrative) of an area of policy or practice in nursing or ii) develop an implementation plan for the implementation and evaluation of an intervention into their local context. This project is highly suited to currently practising nurses whose professional responsibilities and interests include clinical leadership, management of a clinical service or practice development and/or the use of evidence in practice. This unit of study aims to provide students with the opportunity to develop independent thought and self-direction in learning through engaging in a supported learning process involving identifying, refining, arguing for and reviewing a professionally relevant topic that is of professional interest. The outcome of this process will be the completion of a scholarly piece of work and engagement in the production processes associated with appropriate presentation of this work.

Unit details and rules

Academic unit	Nursing and Midwifery
Credit points	6
Prerequisites ?	12 unspecified credit points
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Murray Fisher, murray.fisher@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Presentation	Assessment 2: Presentation Oral presentation given in class during Block 2 as scheduled.	15%	Mid-semester break Due date: 10 Apr 2026 at 21:00	15 minutes	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 1: Online quiz MCQ and non-written elements	5%	Week 05 Due date: 24 Mar 2026 at 17:00	40 minutes	AI allowed
Outcomes assessed:
Written work	Assessment 3: Systematic search strategy Report	30%	Week 08 Due date: 20 Apr 2026 at 23:59	1500 words	AI allowed
Outcomes assessed:
Written work	Assessment 4: integrative literature review or implementation plan Students will chose: integrative literature review or implementation plan.	50%	Week 13 Due date: 29 May 2026 at 23:59	3000 words	AI allowed
Outcomes assessed:

Assessment summary

Online quiz: The quiz will consist of multiple choice questions and questions requiring a fixed response. The quiz will be based on content introduced during lectures and prior learning.
Presentation: Each student will provide a presentation which will identify and argue (provide rationale) for the focus of their project. The presentation should conclude a clear statement of the project question or problem that the project will address and a reasoned explanation of the databases and keywords that will be used to locate the relevant research studies.
Specified elements of the project: This assessment requires you to demonstrate advancement of your review by building upon your presentation. This is a written task which additionally requires a summary table and database search strategy printout.
Completed project : Students have a choice to undertake a integrative literature review or an implementation plan. Integrative literature review: students are required to write up - in a journal manuscript format - their (systematic) descriptive integrated review based on critique of the relevant research articles they have accessed. The topic must relate to a clinical problem or practice issue identified in your work area. You must justify the conduct of the review in relation to your current clinical or practice problem. Implementation plan: students are required to develop a comprehensive implementation plan for an intervention. The topic must relate to a clinical problem or practice issue identified in your work area. You must use a implementation framework presented in the course and justify the choice of intervention in relation to your current clinical or practice problem. You will provide the evidence supporting the use of the intervention within the chosen clinical context, a description of the intervention, identify the barriers and enablers, and implemntation strategies and a monitoring and evaluation plan.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Grade	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Penalties apply as per the Assessment Procedures 2011 *Where an assignment is submitted late without an approved extension, a late penalty will apply. For every calendar day up to and including ten calendar days after the due date a penalty of 5% of the maximum awardable marks will be applied to late work. For work submitted more than ten calendar days after the due date a mark of zero marks will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Mid-semester break	Student presentations	Workshop (20 hr)
Week -04	PICOT discussion board post and peer review	Self-directed learning (2 hr)
Week 04	1. Introduction to UoS; 2. Doing a literature review; 3. Searching the literature; 4. Critique and appraising the literature; 5. Data extraction and synthesis; 6. Introduction to Implementation Science.	Lecture (12 hr)
Week 04	Searching academic databases	Tutorial (2 hr)
Week 06	How to do assessment 2: presentation (via zoom)	Seminar (1 hr)
Week 07	Implementation science	Tutorial (2 hr)
Week 07	Implementation Science	Self-directed learning (2 hr)
Week 11	How to do assessment 4 (via zoom)	Seminar (1 hr)

Attendance and class requirements

Attendance: The sessions for this unit of study are covered in block mode. Attendance at the study blocks is compulsory. Attendance and participation are monitored. Students are expected to attend, engage and participate in scheduled classes and required learning activities. Students must notify the school if they are, or will be, unable to attend a required learning activity; and apply for special consideration or special arrangements; or have an academic plan with relevant adjustments, where appropriate.

(a) Students who fail to attend a required learning activity will be recorded as absent.

(b) Students must attend/participate in all tutorial and practical classes (clinical simulation) scheduled per unit of study.

(c) At the discretion of the Unit of Study Coordinator and/or Program Director, where relevant, an alternative (catch-up) learning activity may be approved and provided to students absent from tutorial or practical classes due to unforeseen circumstances or with an approved planned absence:

i) maximum one tutorial class and one practical class absence permitted per unit of study where an approved alternative (catch-up) learning activity is completed;

ii) where a student satisfactorily completes an approved alternative learning activity this will be recorded.

(d) Students must attend/participate in minimum 90% of all in-person or synchronous online lectures scheduled per unit of study:

Note: Students must apply for Special Consideration for absence from any scheduled required learning activity which includes an assessment.

Referencing guide: Sydney Nursing School has adopted the American Psychological Association (APA) Referencing style, 7th Edition as its official referencing style. This is an author-date style of referencing.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. understand and value the role of research and evidence as a foundation for quality nursing practice and healthcare delivery
LO2. present a clearly articulated and reasoned argument for undertaking a review of the relevant literature on a particular topic/practice/policy/procedure and independently conduct a systematic search of the available literature on a particular topic/practice/policy/procedure
LO3. critically appraise published research using appropriate appraisal tools
LO4. synthesise a body of literature to establish the level of evidence for the translation of the research into nursing practice
LO5. understand a variety of models, theories and frameworks used to develop implementation strategies and development of an evaluation plan.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

The 2025 SNGP3004 unit of study student evaluations were very positive, indicating that students were given the opportunity to develop critical thinking skills. In 2025 students were given the opportunity to complete the literature review or to undertake an implementation plan for their final project (assessment 4). The implementation plan was introduced for the first time in 2025 and was well evaluated by those students who completed this assessment. Only minor changes have been made for 2026.

Additional information

Teacher consultation guidelines: All feedback, questions about or problems with this unit should be directed to Associate Professor Murray Fisher, the unit of study coordinator. You are able to communicate with academic staff through the discussion board on the Sydney eLearning site for this unit of study. You may contact the coordinator via email murray.fisher@sydney.edu.au. You will mostly receive a reply within 3 working days (with the exception of weekends and public holidays). Face-to-face meetings via zoom can be arranged upon request.

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

SNGP3004: Professional Practice Project

Semester 1, 2026 [Block mode] - Singapore

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links