Students

EDST8240 – Professional Practice 3 and Educational Research

2026 – Session 1, In person-scheduled-infrequent, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Convenor
Bronwyn Tregenza
Contact via Assessment questions should be posted on the iLearn forum for the task. Email or iLearn staff contact link or for other correspondence.
25B Wally's Walk, Level 6, Rm 642
Flexible by appointment
Tutor
Rose Garofano
Credit points Credit points
10
Prerequisites Prerequisites
80cps and EDST8999 and (EDST8211 or EDST8238 or EDST8520)
Corequisites Corequisites
(Admission into MTeach (Prim) and EDST8212 or EDST8213 ) OR (Admission into MTeach (Secondary) and (EDST8219 or EDST8221 or EDST8223 or EDST8225 or EDST8227 or EDST8229 or EDST8231 or EDST8233 or EDST8235 or EDST8601 or EDST8603 or EDST8611 or EDST8613 or EDST8621 or EDST8623))
Co-badged status Co-badged status
Unit description Unit description

This unit is a Professional Experience unit for intending primary/secondary school teachers. This unit synthesies students' knowledge of teaching diverse learners and skills in independent educational research. Students will teach in a school for 30 days under the guidance of a Supervising Teacher and concurrently conduct practitioner research to meet the requirements of the mandatory NESA Teaching Performance Assessment (TPA).

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Critically analyse and demonstrate differentiated, evidence-based teaching strategies that are responsive to the learning strengths and needs of students with diverse backgrounds and learning needs.
  • ULO2: Understand, implement and evaluate the processes of planning, teaching, assessing and reflecting over a lesson sequence to determine the impact of teaching on student learning.
  • ULO3: Employ research knowledge and methods appropriate for effective, research-based practitioner inquiry.
  • ULO4: Identify, apply and synthesise evidence of practice aligned to AITSL graduate teacher standards.
  • ULO5: Demonstrate research informed collegial interactions, feedback and professional interactions in learning communities.
  • ULO6: Engage in scholarly inquiry and reflexivity in regard to teaching practice of self and others.

General Assessment Information

The assessment for this unit is the national Teaching Performance Assessment (TPA) that all Teacher Education Students in Australia must complete to be accredited and enter the profession. All tasks are mandatory but the written TPA submission will be analysed to determine that the TES has met or exceeded all of the Australian Professional Standards for Teachers (APST) at Graduate level to pass the course. At Macquarie University, the TPA requires teachers to collect and analyse performances, work samples and assessment items completed by five targeted students to assess knowledge and skills from the syllabus that have and have not been demonstrated and measure the impact of a lesson sequence differentiated to enable the target students to master syllabus content that the assessment data showed was within their ZPD. A comprehensive collection of submission guides, templates and other resources are available to all final year TES on the EDCOMMS iLearn site.

If unforseen circumstances compromise your participation in the course or completion of requirements, please reach out via wellbeing@mq.edu.au for guidance and support and for variations to the course schedule please submit an application with supporting evidence via the Service Connect Portal https://connect.mq.edu.au/s/

Unit Assessment Overview

ASSESSMENT NAME WEIGHT DUE DATE SUBMISSION METHOD
GoReact Video recording of yourself teaching Mandatory but not weighted To be recorded during PEX which finishes on Friday 15/05/2026 Recorded directly into GoReact which is accessed via a link in iLearn
Folder of evidence showing completion of all PEX tasks Mandatory but not weighted Collated progressively throughout the PEX placement and finalised by 26/05/2026, ten days after PEX placement

To be kept in a digital format (Eg files linked to a Google Doc table or OneNote) and shared with all course teaching staff for access as needed. Please create a table of contents. Hard copy documents should be scanned.

Supervising Teachers' Professional Experience Evaluation Report Mandatory but not weighted Please check the mid PEX evaluation report by Thursday 26 March and confirm submission of the final evaluation report by Monday 18/05/2026 Submit via iParticipate
Viva Voce presentation (not to exceed 5 mins) showing differentiation based on assessment data for one student Mandatory but not weighted 01/06/2026 or 02/06/2026 students enrol in one Practical class Presented during a Zoom session and appended to TPA
Teaching Performance Assessment - Submission guide on EDCOMMS  100% Tuesday 09/06/2026 one week after Viva Voce Submitted via a iLearn Assessment Submission link
ASSET Survey Mandatory but not weighted Friday 16/06/2026 (TBC) Links will become available in iLearn

Assessment Policies

  • Students should be aware of and apply the University policy on academic honesty (see: https://policies.mq.edu.au/document/view.php?id=3

  • Late submission of time sensitive tasks (such as tests/exams, performance assessments/presentations, scheduled practical assessments/labs etc) will only be addressed by the unit convenor in a Special consideration application https://students.mq.edu.au/study/assessment-exams/special-consideration

  • Please format assessments using 12-point font and 1.5 spacing. 

  • All assessments are submitted electronically. Turnitin plagiarism detection software is used to check all written assessments. 

  • Students can use Turnitin’s Originality Report as a learning tool to improve their academic writing if this option is made available in the unit. 

  • Students should carefully check that they submit the correct file for an assessment as no re-submissions will be accepted after the due date and time, including instances where students upload an incorrect file in error. 

  • Word limits are strictly applied. Work above the word limit will not be marked.  

  • All assessments are marked using a clear marking scheme or a rubric. 

  • Marking of all assessments is moderated by the Unit Convenor. 

  • Applications for extensions must be made via AskMQ (https://ask.mq.edu.au/).  

  • It is not the responsibility of unit staff to contact students who have failed to submit assessments. If you have any missing items of assessment, it is your responsibility to make contact with the unit convenor. 

University policy on grading 

  • The Professional Experience  Report is marked as satisfactory or unsatisfactory
  • The Teaching Performance Assessment (in final PE units) is marked as not meets, meets or exceeds
  • To meet the unit outcomes and successfully pass this unit, students should attempt all assessment tasks.  
  • If you fail a unit with a professional experience component, the fail grade will be on your transcript irrespective of the timing of the placement.

Use of AI in the unit

  • The use of AI is permitted if it improves the quality of the work but it must be acknowledged and cited using the APA referencing system decribed hereFailure to acknowledge AI is considered academic misconduct
  • Please consider the wide variety of ways AI tools can support your learning other than generating text to be inserted into your document, such as inviting AI to ask you questions on the topic you are learning to extend your thinking, helping you brainstorm ideas, proof reading your work and suggesting edits and formatting resources for your classes
  • Hallucinations, such as citation of sources that do not exist, are common using AI tools and students are responsible to ensure the accuracy of AI generated content. Your reference list will be checked and you will be asked about instances of grammar and vocabulary that occur frequently in AI generated text if it appears in your work
  • Please be aware that the pedagogical advice given by AI chatbots, particularly about differentiation, can be limited and poor quality, unless the prompts are particularly detailed and theory informed
  • Proficiency in ethical use of AI tools is useful for teachers in schools

Withdrawing from this unit 

  • If you are considering withdrawing from this unit, please seek academic advice via https://ask.mq.edu.au before doing so as this unit may be a co-requisite or prerequisite for units in the following sessions and may impact your course progression. 

Results 

  • Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit https://ask.mq.edu.au 

Assessment Tasks

Name Weighting Hurdle Due Groupwork/Individual Short Extension AI assisted?
Supervising Teachers' Professional Experience Evaluation Report 0% Yes 23:55 18/05/2026 Individual No Observed
Teaching Performance Assessment 100% No 23:55 09/06/2026 Individual No Open AI
ASSET Survey 0% No 23:55 16/06/2026 Individual No Open AI

Supervising Teachers' Professional Experience Evaluation Report

Assessment Type 1: Professional task
Indicative Time on Task 2: 0 hours
Due: 23:55 18/05/2026
Weighting: 0%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Observed
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)

This report is completed by the Supervising Teacher on completion of the student's 30 day Professional Experience placement (Including the TPA) using the AITSL Graduate Teaching Standards. 


On successful completion you will be able to:
  • Critically analyse and demonstrate differentiated, evidence-based teaching strategies that are responsive to the learning strengths and needs of students with diverse backgrounds and learning needs.
  • Understand, implement and evaluate the processes of planning, teaching, assessing and reflecting over a lesson sequence to determine the impact of teaching on student learning.
  • Employ research knowledge and methods appropriate for effective, research-based practitioner inquiry.
  • Identify, apply and synthesise evidence of practice aligned to AITSL graduate teacher standards.
  • Demonstrate research informed collegial interactions, feedback and professional interactions in learning communities.
  • Engage in scholarly inquiry and reflexivity in regard to teaching practice of self and others.

Teaching Performance Assessment

Assessment Type 1: Reflection task
Indicative Time on Task 2: 10 hours
Due: 23:55 09/06/2026
Weighting: 100%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Open AI

Pass/Fail completed on placement (no word limit). Teaching Performance Assessment(NESA requirement) includes: choosing 5 focus students and planning teaching and assessing through a process of reflexive practice.


On successful completion you will be able to:
  • Critically analyse and demonstrate differentiated, evidence-based teaching strategies that are responsive to the learning strengths and needs of students with diverse backgrounds and learning needs.
  • Understand, implement and evaluate the processes of planning, teaching, assessing and reflecting over a lesson sequence to determine the impact of teaching on student learning.
  • Employ research knowledge and methods appropriate for effective, research-based practitioner inquiry.
  • Identify, apply and synthesise evidence of practice aligned to AITSL graduate teacher standards.
  • Demonstrate research informed collegial interactions, feedback and professional interactions in learning communities.
  • Engage in scholarly inquiry and reflexivity in regard to teaching practice of self and others.

ASSET Survey

Assessment Type 1: Reflection task
Indicative Time on Task 2: 1 hours
Due: 23:55 16/06/2026
Weighting: 0%
Groupwork/Individual: Individual
Short extension 3: No
AI assisted?: Open AI

The  ASSET survey will provide the School of Education with a detailed understanding of our students and their experiences; including, who they are, their attitudes and beliefs about education, and how prepared they feel to work as teachers. In addition, as part of the registration of the Department of Educational Studies teacher preparation programs with the NSW Education Standards Authority, we are specifically required to collect impact data on programs. The proposed annual survey will serve the purpose of providing part of these mandatory data. Further, it will provide the Department of Educational Studies with valuable information to revise and improve the programs offered to students. Finally, you may elect to make your de-identified data available to researchers in the Department if you choose.


On successful completion you will be able to:
  • Engage in scholarly inquiry and reflexivity in regard to teaching practice of self and others.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.

3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.

Delivery and Resources

Tutorials and Workshops

EDST8240 blends face to face and online delivery to support professional learning activities within schools.

Tutorial 1 via Zoom 3:00pm on Wednesday 25 February https://macquarie.zoom.us/j/81806186959

On-Campus Session 10:00am to 3:00pm Friday 27 February OR 10:00am to 3:00pm Saturday 28 February

Six Week Professional Experience Placement from Monday 23 March to Friday 15 May

Mid-Professional Experience Zoom Session One to clarify data collection and analysis and development of student goals 1:00pm to 3:00pm Tuesday 31 March https://macquarie.zoom.us/j/88257206534

Mid-Professional Experience Zoom Session Two. The focus will be on differentiation and annotation of work samples to show impact 1:00pm to 3:00pm Wednesday 29 April https://macquarie.zoom.us/j/88531736986

On-Campus Session 10:00am to 3:00pm Friday 22 May OR Saturday 23 May

Viva Voce (5min presentation) Monday 1 June or Tuesday 2 June in sessions that run from 9:00 to 10:30,11:00 to 12:30 or 1:30 to 3:00 (Monday only) Participants stay for the whole 90min session.

Essential Resources

Students must be familiar with the Teacher Education Students section of the MQ Professional Experience website https://students.mq.edu.au/study/course/teacher-education-students

A close reading of the following documents on the EDCOMMS iLearn site should be completed before commencing the Professional Experience and the MQTPA lecture series and Podcasts are highly recommended.

  • The EDST8240 PEX Requirements document for either Primary or Secondary
  • The MQTPA Primary and Scondary 2025 submission guidelines

The Australian Professional Standards for Teachers can be found on the website of the Australian Institute for Teaching and School Leadership (AITSL) https://www.aitsl.edu.au/standards and the NSW Education Stanards Authority(NESA) website https://educationstandards.nsw.edu.au/wps/portal/nesa/teacher-accreditation/meeting-requirements/the-standards

 

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.

Use of Artificial Intelligence (AI)

The use of Artificial Intelligence is not prohibited. The use of Large Language Models (LLMs) such as OpenAI's ChatGPT GPT-4 (paid), Perplexity.ai (free/paid), Microsoft Copilot in creative mode (free), or Claude 3 Opus (paid) when working on assessments in this unit is permitted. These tools can complement your efforts on assessments and can assist with planning, research, and editing, but they must be used intentionally and with utmost care. Intentional and careful use of these tools may assist the quality of your final submission, but poor or reckless use of the tools can quite easily negatively impact the quality of your submission. You are fully responsible for any issues or errors arising from their use. If you are considering actively engaging with LLMs to assist in completing an assessment, then please read the following very carefully.

The Role of Generative AI in Teaching

Skilled and proficient use of generative AI is helping teachers to plan, prepare resources, communicate, provide feedback and document activities efficiently so it can be of benefit to learn how to use generative AI well. Using AI well as a teacher requires an expert understanding of learning theory and syllabus documents so you can devise the prompts that generate pedagogically strong output. AI tools such as Elicit and Consensus can help you find research papers and Notebook LM can help you create notes on those sources, but you need to read, think and thoroughly engage your mind with the text in those sources to learn enough to be a great teacher who is more efficient because you use AI. Use AI to help you:

  • Build your knowledge
  • Locate relevant sources for you to read
  • Outline contrasting theoretical positions in the literature
  • Suggest improvements to your writing
  • Format classroom resources
  • Brainstorm ideas
  • Convert conversational speech recordings to succinct grammatically correct prose for feedback and parent communication
  • Customise resources for individuals and groups in your class

If you simply asking AI to write sections of your assessment task for you, you will not learn what you need to know to be an effective classroom teacher and the parents and children in NSW schools deserve to have highly professional, knowledgable teachers in schools.

Acknowledgement

Transparency is an important part of academic scholarship. You must clearly indicate what parts of your assessment were generated by AI within the text and reference the genarative AI tools you used in the bibliography. Please use APA referencing style to cite and reference your use of AI. Most AI chat tools now include a sharing option that provides users with a unique URL and a title for each chat. This enable easy creation of an APA Style reference for a specific chat  following the author–date–title–source format used in APA Style references.

The four elements of author, date, title, and source that you need to include in your references to AI are: 

  • Author: The author is the company responsible for developing the AI tool. Although these companies did not “write” the generated text in the traditional sense, the author element of an APA Style reference is broadly defined as who is “responsible for a work.” Whereas in some other references that is an individual author, editor, film director, or podcast host, here it is the organisation that created the AI tool. AI itself cannot be an author because it is not a living, conscious human who can give consent and promise to abide by the rights and responsibilities that come with authorship. For example, OpenAI is the author of ChatGPT, and Google is the author of Gemini.
  • Date: The date in an AI chat reference is the specific year, month, and day on which a chat occurred or concluded.
  • Title: The title is the title of the chat (in italic sentence case) followed by a bracketed description to clarify for readers the nature of the source; for example, “[Generative AI chat].” In most AI tools, users can edit the title of the chat, so before creating the reference, consider editing the title within the AI tool to be something descriptive and helpful for readers.
  • Source: The source begins with the name of the AI tool, which can be general (e.g., ChatGPT or Gemini) or the name of the model (e.g., ChatGPT-5 or Gemini 2.5 Flash). The final piece of the source element is the URL of the chat.

Example Bibliography AI References

Anthropic. (2025). Claude 4 Sonnet [Large language model]. https://claude.ai/new

Google. (2025). Gemini 2.5 Flash [Large language model]. https://gemini.google.com

OpenAI. (2025). ChatGPT [Large language model]. https://chatgpt.com/

Within The Text

  • Parenthetical citations: (Anthropic, 2025; Google, 2025; OpenAI, 2025; Perplexity AI, 2025)
  • Narrative citations: Anthropic (2025), Google (2025), OpenAI (2025), and Perplexity AI (2025)

Documenting AI Prompts

An AI prompt is the instruction that you give AI to generate results. Providing information about prompts increases transparency and helps readers better understand exactly how you used the AI tool. Prompts can be within the text where the AI use is disclosed, or elsewhere as appropriate, such as in an appendix. 

An example of how prompts might be discussed within the text:

I provided the following prompt to Gemini (Google, 2025): “Please create an image of students in a classroom studying grammar concepts.” After reviewing the initial image created, I refined the images by adding more detail, asking Gemini to include more racial and ethnic diversity in the student population and specifying the age range should be adolescents.

Unacknowledged use of generative AI is a form of academic misconduct and will result in a score of zero for the task and possible disciplinary action by the university. Please note that spelling and grammar patterns commonly appearing in text generated by AI will be interrogated should they appear in students' submissions without acknowledgement.

CRITICAL: Confabulations, hallucinations, and fictitious sources

It is your responsibility to use Generative AI tools ethically and appropriately. Any fictitious sources contained in your submitted paper will result in a failure of the assessment, regardless of whether they originated from your own research, Generative AI, or a random webpage. This is not an academic integrity issue, but a matter of ensuring the accuracy and reliability of your work.

Remember, LLMs always sound confident but are not always correct (and depending on how the LLM is used may be very wrong). Proper prompting is essential for improving the quality of the results.

Vague responses

Poor prompting may lead to American-centric or vague responses that do not address the specifics of Australian curricula or school context. When using these models, it is your responsibility to thoroughly check all outputs to ensure they are relevant and accurate. Reliance on an LLM output without thorough oversight is strongly advised against.

A trap

Do not treat LLMs as search engines. Even those with web search capabilities (e.g., perplexity.ai, ChatGPT GPT+ subscription, Microsoft Copilot) may not search effectively. Ensure that all factual information you want the models to work with is well-contained within your prompts.

Recommendations

We strongly advise against using ChatGPT's free version, as it may lead to unsatisfactory results and is prone to confabulations. Use tools running GPT-4 or equivalent, such as Microsoft Copilot in creative mode (free with a throwaway account, not your MQ account). Avoid upsells from the LLMs and choose "creative mode" for GPT-4; "balanced mode" uses GPT 3.5.

School of Education Procedures 

In addition, the following policies and procedures of the School of Education are applicable in this unit. 

Attendance for Master of Teaching (Primary and Secondary) units 

Attendance at all synchronous activities, completion of non-synchronous formative/diagnostic class tasks and involvement in professional forums is compulsory as the Master of Teaching is a professional qualification. All students must meet the 80% attendance requirement.  

Activities completed during tutorials or on campus days are essential for building the core knowledge and/or skills required to demonstrate the learning outcomes of this unit and to meet the AITSL Graduate Teacher Standards. Attendance at all tutorials or on campus days is expected and the roll will be taken. 

Students are required to attend the tutorial in which they are enrolled. Any changes to tutorial enrolments must be completed officially through e-student. Please do not contact the unit convenor requesting a change. 

Electronic Communication 

It is the student’s responsibility to check all electronic communication on a regular weekly basis.  Communication may occur via: 

  • Official MQ Student Email Address 

  • The Dialogue function on iLearn 

  • Other iLearn communication functions 

Infrequent Attendance Students 

Information about the dates of the on-campus sessions can be found in the university timetable. Creating your timetable - Enrolling | Macquarie University, Sydney (mq.edu.au) 

  • The on-campus sessions are essential to student engagement and learning and attendance is expected. Failure to attend or to have an approved Special Consideration may result in a Fail grade for the unit.  

  • Prior to the on-campus sessions, you should have read the prescribed readings and listened to the lectures. Summarise the main points and make a note of the key terms and definitions. Prepare any discussion questions of your own that you wish to share. 

  • Please make effective use of the online component of the unit and access iLearn regularly. Keep up to date with listening to the lectures on a weekly basis. 

  • Further specific details and any updates about times and locations will be posted on iLearn as an Announcement during first half of the semester. 

Fail Rule  

This unit is a part of a professional course listed on Schedules 2 and 3 of the Academic Progression Policy. This course has additional requirements that are applicable for the full duration of the course, including course-specific inherent requirements, Fitness to Practice requirements and other compulsory course requirements. It also has rigorous academic progression standards. Inability to meet these requirements may result in a withdrawal of offer of admission and/or permanent exclusion from the course in accordance with the General Coursework Rules. 

LANTITE 

In order to enrol in your EDST8240 PE Unit you must have met the standard for both the Literacy and Numeracy test prior to commencing the professional experience placement unit. Enrolling in EDST8240 while waiting for your results will not be accepted. 

Passing a Professional Experience Unit 

To pass a Professional Experience unit, students must achieve a satisfactory result for their professional experience placement AND achieve a satisfactory result overall for their academic assessment tasks in the unit. 

Professional Experience Unit Placement Expectations 

  • Students must be able to present evidence of completion of several tasks prior to session census date (or as otherwise advised) in order to receive a placement for Professional Experience. Please check your email from the Work Integrated Learning (WIL) Office. Requirements are outlined here as well: https://education.nsw.gov.au/teaching-and-learning/professional-learning/pl-resources/pre-service-teacher-resources/induction-for-pre-service-teachers/mandatory-pre-requisites-for-pre-service-teachers-participating-   

  • Students must have submitted all written assessment tasks and/or associated unit component requirements prior to the commencement of the block. 

  • Students who are completing a unit offered by another department are expected to inform and negotiate with that unit convenor about their professional experience block dates and to discuss how that unit's requirements can be met. For some situations, it may mean that you are enrolled externally for that unit so that your attendance for tutorials for that unit is not impacted.  

  • Feedback from Tertiary Supervisors and/or Supervising Teachers is of a general nature. It is incumbent on the student to check the requirements of any assessments or bookwork prior to submission. 

  • If a Student is identified as being in need of additional support for Professional Practice and/or Bookwork, the School of Education’s ‘Additional Support’ procedure will be activated. 

  • Students may not be able to commence their placement until all alleged academic honesty breaches have been investigated and concluded.  

  • The timing of placements can vary. For placements early in the Session, Fail grades may be approved by the University prior to the end of Session for students who do not meet the placement expectations of the Unit. 

Fitness to practice requirements 

  • Macquarie University operates under a ‘Fitness to Practice’ model as specified in the University's Academic Progression Policy.  For this Unit, this means that, when undertaking a placement, a student is declaring that they are able to demonstrate professional competence, acceptable professional behaviour, freedom from impairment, and compliance with program specific requirements needed for a student to practice properly and safely throughout their Practical, Clinical or Professional program or unit. It is the responsibility of the student to determine whether they are fit to undertake a placement. Therefore, if a student is feeling unfit to undertake a placement, they should not do so. For more information https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/academic-progression 

 

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Academic Success

Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Please be aware that the Course Convenor may submit a CareMQ Report inviting the wellbeing team to contact you if you encounter particularly challenging circumstances during the semester. You may also contact the wellbeing team directly yourself 

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

It is important to reach out to the IT Support team via a Onehelp email or ticket as unresolved difficulties significantly impact others and everything we do to make sure the team knows about and resolves problems improves the university experience for everyone.


Unit information based on version 2026.03 of the Handbook