Outline

Overview

This Open Learning Environment unit of study is designed to increase students' knowledge and skills regarding personal and community health and wellbeing. In this unit of study, students will learn about the latest health research and scientific evidence across the key domains of wellbeing: nutrition; physical activity; sleep; mental wellbeing; alcohol and other drugs. This unit of study will also allow students to develop skills in critical thinking relating to health information and how to implement healthy behaviours. The unit has been developed by eminent researchers in each domain to ensure the most up-to-date evidence is incorporated. This unit of study is multidisciplinary and designed to stimulate students' thinking about issues relating to physical and mental wellbeing. The knowledge is to benefit students in their own wellbeing for maximising academic performance and university experience as well as to give them skills to demonstrate leadership in health in their future work environments.

Unit details and rules

Academic unit	Nursing and Midwifery
Credit points	2
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Monica Liu, qingzhou.liu@sydney.edu.au
Lecturer(s)	Rajshri Roy, rajshri.roy@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Out-of-class quiz	Early assessment and feedback #earlyfeedbacktask	0%	Week 03 Due date: 22 Aug 2025 at 23:59	30 minutes	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 7: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 6: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 5: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 4: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 3: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 2: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 1: End of module quiz Online quiz multiple choice	10%	Week 11 Due date: 24 Oct 2025 at 23:59	One hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Assessment 8: Final quiz Online quiz multiple choice	30%	Week 12 Due date: 31 Oct 2025 at 23:59	Three hours	AI allowed
Outcomes assessed:
= early feedback task ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

Assessment 1: Module 1 Quiz – 10 marks (10% of final grade)
Assessment 2: Module 2 Quiz – 10 marks (10% of final grade)
Assessment 3: Module 3 Quiz – 10 marks (10% of final grade)
Assessment 4: Module 4 Quiz – 10 marks (10% of final grade)
Assessment 5: Module 5 Quiz – 10 marks (10% of final grade)
Assessment 6: Module 6 Quiz – 10 marks (10% of final grade)
Assessment 7: Module 7 Quiz – 10 marks (10% of final grade)
Assessment 8: Final Quiz (all modules assessed) – 30 marks (30% of final grade)

Please note: Each student is required to submit all assessment items, and each submission needs to be of an assessable standard, in order to be eligible to pass this unit. Detailed information for each assessment can be found on Canvas.

Assessment criteria

All OLE units are graded on a pass/fail basis.

Result name	Mark range	Description
Satisfied requirements	50 - 100	The learning outcomes of the unit of study have been met to a satisfactory standard.
Failed requirements	0 - 49	The learning outcomes of the unit of study have not been met 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:

Note: Assessment 1-7 Module quizzes must be completed by the due date and it will no longer be possible to complete these after that date. Assessment 8: Final quiz, if 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 quiz. For Assessment 8: Final quiz 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	Learning outcomes
Ongoing	Each student progresses through each of seven modules including nutrition, physical activity, sleep, emotional well being, alcohol and health promotion.	Individual study (40 hr)

Attendance and class requirements

Attendance: As this unit is an Open Learning Environment unit of study and is completely online, there are no attendance requirements.

Referencing style: This unit uses the Vancouver system of referencing. Refer to Library guides

https://libguides.library.usyd.edu.au/c.php?g=508212&p=3476168

Assignment formatting guidelines: Unless the unit coordinator has indicated otherwise, please make sure your submitted assessments are formatted as follows:

font: use Calibri or Times New Roman in 11 - 12 point
double line spacing
margins: 2.5cm each side
use page numbers
refer to assessment instructions for use of title and headings

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 2 credit point unit, this equates to roughly 40-50 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. describe the concepts of wellbeing and health and how they relate to all areas of life
LO2. demonstrate knowledge relating to the five thematic modules and domains of wellbeing: nutrition; physical activity; sleep; alcohol and other drugs; social and emotional wellbeing
LO3. describe the principles of health promotion and their application to the broader context – healthy people, healthy communities, healthy environments
LO4. apply critical thinking about health information and evidence as they relate to personal, community and environment health.

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.

This unit has undergone an extensive updating process to ensure up-to-date literature is used. The quiz questions have been rewritten in response to student evaluation responses. Following the recent changes to OLE grading policies, we have adjusted the assessment structure for the OLET1616 as required. These changes ensure compliance with the new pass/fail marking scheme while maintaining alignment with the unit’s learning outcomes.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

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

Early feedback task

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

Disclaimer

On this page

Useful links

OLET1616: The Science of Health and Wellbeing

Semester 2, 2025 [Online] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

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

Disclaimer

On this page

Useful links