[2025] FWC 3091
General information, not legal advice.
Fair Work Commission
2025-10-15
Original judgment source is linked above.
The attached document replaces the document previously issued with the above code on 15 October 2025.
On last page of the Decision, in Appearances, Counsel for the Respondent corrected from Mr T.Dougen to Mr T.Duggan.
[2025] FWC 3091[Note: An appeal pursuant to s.604 (C2025/10938) was lodged against this decision.]
s.739 - Dispute resolution
Alleged dispute about any matters arising under the enterprise agreement and the NES;[s186(6)]- Dispute notified - workload allocation - consideration of provisions of Agreement re: process for allocation of workload - Respondent not compliant with requirements of the Agreement - parties to confer on remedy.
19.2(e) The Head of School will allocate workload in consultation with individual Academic Employees within the School and in accordance with the applicable work allocation model as per this clause in a fair, equitable and transparent manner.
19.2(f) Through this process, the Head of School will, in consultation with directly affected Academic Employees, ensure that the time allocated to perform any defined task is reasonable and will be an accurate representation of the time taken to perform that task.
22.3.7 The Head of School will determine, after consultation with academic Staff Members within the School, the allocation of academic workload within the School. The Head of School will use their best endeavours to allocate academic workload in a fair and transparent manner.
"Question 1: does clause 19.2(f) of the Agreement require the Respondent to ensure that the time allocated to perform any defined task is reasonable and is an accurate representation of the time taken to perform that task?
Question 2: Does clause 19.2(e) require that the Respondent allocate workload in accordance with the applicable workload allocation model in a fair, equitable and transparent manner?
Question 3: If Clause 19.2(f) of the Agreement requires the Respondent to ensure that that the time allocated is an accurate representation of the time taken to perform the task, does the Respondent's current process of allocating workload - specifically, the Faculty of Humanities Workload Allocation Parameters - accurately represent the actual time needed to perform the relevant academic tasks?"[1]
"...allocations for tasks are determined by the Faculty of Humanities Workload Allocation Parameters (Faculty Guidelines or Faculty Parameters) attached to workload spreadsheets, which stipulate hard maximum limits for tasks."[4]
"...workload allocation has always been in consultation with a line manager. The Head of School (HoS) has never been involved with the allocation of workloads at MCASI. To the best of my knowledge, at no time has either the DHoS or HoS reviewed tasks to ensure that the time taken for tasks involved in said workloads is reasonable or accurate for...staff.[6]
"For example, one assessment in HIST2002 - Politics of the Modern Middle East requires us to mark a 2,000-word essay in 30 minutes. Time required is often to perform this task is generally significantly more. It includes critically and analytically reading the paper itself (25-40 minutes depending on complexity and student capacity), providing in-text comments (5-10 minutes), integrity checking by following up sources and checking for AI/Turnitin scores (5-10 minutes), as well as allocating rubric scores and writing summative feedback (5-10 minutes). This means that assessing an assignment of this size can run anywhere from 40 minutes up to over an hour in the worst cases.[7]
"Because of the duty of care required. Because of the requirements to provide high level feedback to students and to ensure that they are growing effectively and that they're critically reflecting on these complex and nuanced topics that require a lot of sensitivity."[8]
"...fundamental issues regarding the amount of time allocated for various workload duties as set out in the parameters remain unresolved."[9]
It also emerged during the hearing that on Dr Babb's evidence the panel could not allocate more time to a task than was provided in the Faculty Parameters.
"Marking is far more complex than a simple time-based calculation suggests. Multiple factors contribute to the complexity of assessment, including diverse assessment types, academic integrity checks, and the need for substantive, constructive feedback. Each assessment requires careful evaluation of student learning and providing guidance that supports future academic development.
As an experienced academic, I have developed strategies to streamline marking, typically completing most assessments within 20 minutes, although outliers often increase the total workload above the 1 hour per student limit. However, this efficiency is not achievable for less experienced sessional staff. In the units I coordinate, I consistently encourage session staff to mark assessments within the allocated time, but they frequently report exceeding these limits to provide meaningful and useful feedback to students.
Some advice from Teaching and Learning leadership at School and Faculty has been to address these time constraints by reducing the number of assessments in units. Additionally, they have suggested utilising GenAI to assist with marking processes. These recommendations, however, raise significant concerns about the potential compromise of educational quality and the depth of student learning."[10]
[29] Dr Francis Russell gave evidence of his experience during bargaining for the Agreement. At that time he was an employee of the Respondent and a part of the Applicant's bargaining team. It was his evidence that the Applicant's members had wanted some sort of entitlement regarding accurate workloads in the Agreement because workloads had been a long-term member concern. In support of this contention, he provided a copy of a document circulated by the Respondent,[11] that confirmed a survey of academic staff by the Respondent in 2021 resulted in less than 40% of academic staff reporting their workload as manageable.
"Marking and assessment were time-intensive responsibilities that extend well beyond simply grading student work. The process included weekly marking requirements, evaluating each of the spoken and written tests at the end of the semester, providing constructive feedback, and ensuring assessments aligned with unit learning outcomes and academic standards."[12]
"...the starting point for the construction of an enterprise agreement is a consideration of the ordinary meaning of its words read as a whole and in context - context which can include the agreement as a whole as well as the broader 'industrial context and purpose;'
a purposive approach is to be preferred to a narrow or pedantic approach - on the basis that 'the framers of such documents were likely to be of a "practical bent of mind;"'
the task of interpreting an agreement does not involve rewriting the agreement to achieve what might be regarded as a fair or just outcome - it is always one of interpreting the agreement produced by the parties; and
"...feedback from the members of the Workload Group (and, through them, all academic staff members in the Faculty);
the standards set by the Tertiary Education Quality and Standards Agency; and
the finite resources available to the Faculty - which require it to make decisions as to how time is best allocated so as to deliver a high standard of education in a sustainable manner."[15]
"...to a significant degree, self-directed and autonomous. The allocation of face-to-face teaching may be of definite timing and duration. However, other work required of academic staff is of a different nature and not naturally amenable to strict prescription of daily or weekly hours of work."1[16]
"...in order to comply with cl 19, the University must ensure that each academic staff member's workload allocation precisely reflects the time that individual staff member has actually spent on each defined task (notwithstanding the University's expectation that such tasks are completed within the time allocated by the Parameters and the absence of a system of time recording). This would:
(a) be inconsistent with the industrial context in which cl 19 applies (noting the nature of academic work);
(b) result in an unfair, inequitable and opaque workload allocation process that rewards inefficiency - contrary to the requirements of cl 19.2(e);
(c) create considerable administrative complexity for the University and academic staff members; and
"...is not only consistent with the ordinary meaning of those terms but also reflects the industrial context and practical reality. It results in a requirement that would be satisfied through the determination of a reasonable and accurate exemplar time allocation - which is all that is possible for the University to achieve as part of a prospective allocation of work in light of the associated complexities.
This interpretation is also consistent with the use of the words 'will be' (rather than 'is') immediately before the words 'accurate representation,' which reflects the prospective and iterative nature of the assessment."[18]
"The Parameters provide time-based guidelines within which workload is to be allocated for defined teaching-related activities (e.g. one hour per student for marking; up to 20 hours per unit for unit coordination etc). For most activities, the Parameters identify a range of time allocations, which vary based on (amongst other things) the number of students in a unit and the way teaching is being delivered (e.g. the allocation for consultation ranges from six hours per unit (for a unit with 10 to 30 students) to 24 hours (for a unit with more than 101 students))...
The Workload Group is responsible for ensuring that the time allocated for defined tasks is reasonable having regard to what is required to deliver high-quality teaching that meets the standards set by TEQSA while operating within the resources available to the University."[19]
"It is also recognised that the time required to perform defined tasks can shift over time, particularly as a result of changes in technology. By way of an example, there are various AI-based solutions that will soon enable staff members to do some tasks much more quickly while maintaining and improving quality, however, AI can also create additional work as staff become familiar with its uses and applications and we ensure that it is not misused by students. It is in recognition of these shifts and the inherent variability of tasks, time and workload that the Workload Group has been set up as an ongoing, consultative body.
It is also important to note that such shifts can be managed in ways other than simply increasing workload allocation. For example, in relation to concerns about time spent by academics managing AI-related misconduct, the University has adapted and updated its approach to meet contextual changes. The Faculty has produced Faculty-specific guidance for staff on these changes."[20]
"...general guidelines from the University (the University Parameters), which set ranges of time allocation for various tasks (with the 2024 Parameters adopting allocations within those ranges having regard to the work being performed within the Faculty). The University Parameters provide a starting point but are not determinative.
the Curtin University Enterprise Bargaining Agreement 2022-2025 (the Enterprise Agreement).
the following design principles that were developed by the Workload Group: equitable and fair allocations, financially sustainable (aligned to budgets), data driven (e.g. financial data, unit offering data, student enrolments etc), easily interpreted, and consistent application.
the direct experience of the members of the Workload Group (who, as above, had considerable experience in managing both their own workloads and that of others) as well as feedback provided to those members by other staff.
consultation with key staff in each of the Schools (e.g. discussions with learning and teaching staff regarding appropriate time allocations for tasks).
input from other groups within the University - for example, there is ongoing work within the Faculty's Office of Learning and Teaching to understand how staff teach in online environments and how this impacts on their workloads.
the resources (financial and personnel) available to the University."[22]
"It is important to note that the Parameters identify representative time allocations for defined tasks across a unit. They are not intended to be applied on a granular level. For example, while the Parameters generally allocate one hour for marking per student, this is intended as an average across the unit. This takes into account that staff members usually increase their speed as they mark (as they may develop some standard comments) but also that some students' work will take longer to mark and others' will take less time."[23]
"The workload allocation process typically begins prior to November. This enables workloads to be set concurrently with timetabling for the following year.
The first step in this process is for the individual within each School with responsibility for allocating workloads (usually the Deputy Head of School) to prepare draft workloads and send these to each academic staff member for comment. These draft workloads are informed by the 'career conversations' held previously in the year and other consultation processes as part of which staff members may identify:
the units they would like to be involved in for the following year;
a desire for a higher research allocation (e.g. due to receiving a research grant);
a need for a 'unit development' allocation (e.g. if they consider that they will need to spend time rejuvenating an existing unit).
Once draft workloads have been provided, the staff members are given an opportunity to provide feedback and negotiate their workload. This could include: asking for more time to be allocated for research/ISoLT, asking to teach a different unit, allocation of more time to a learning and teaching/leadership activity or asking for certain duties to be re-allocated to others (e.g. casual academic staff).
There can be significant back-and-forth between staff members and the Deputy Heads of School/School Business Manager/Head of School/other workload allocator about workload to re- allocate work within the parameters set by the Enterprise Agreement, the Faculty and the University Parameters.
Once a workload is agreed between a staff member and the relevant workload allocator, it will be inputted into AWMS. The AWMS assists in allocating workloads by automatically drawing information from various sources within the University (including historic enrolments and data in relation to HDRs (i.e. higher degrees by research)). It also flags any workloads that are inconsistent with the requirements of the Enterprise Agreement so that these can be identified and rectified.
The draft workloads in AWMS are submitted to multiple levels of review, namely:
a review by Deputy Heads of School, School Business Manager, the Academic Workload Manager and me of each staff member's workload allocation to ensure that it accurately reflects that staff member's workload;
a review by the Heads of School and School Business Managers to ensure that the workload allocated to each staff member is fair and accurate and that everyone is at or below 100%;
a review by the PVC and General Manager to ensure that workloads are fair, accurate and reasonable both at an individual level and across the Schools;
a high-level overall review by the University Provost and Associate Provost to ensure fairness, that overall allocations are reasonable and that everyone is at or below 100%."[24]
"We advise staff to align their expectations and work with the allocations. For example, we advise staff to devise assignments that they can reasonably mark within the one hour allocated by the Parameters for marking. I communicate this in conversations with staff about workloads and it is also communicated by the Head of School during events such as School Forums."[26]
"Once the initial draft is received, we generally receive a wide range of feedback from staff members in relation to their draft workloads. This includes feedback regarding their allocated teaching periods; the time allocated to perform particular tasks; the time allocated for leadership roles; shifts of the mode of teaching assigned (e.g. online or in person); and requests to change units.
Upon receipt of this feedback, I work with staff members, their Line Managers and the Head of School to address it. It is at this stage of the process that considerable flexibility can be applied. By way of an example, if a staff member provides feedback that the time allocated for a particular task is insufficient, we will work with them to first consider the perceived issue and whether it is with the allocated time or the functions being performed.
By way of an example, if the concern relates to marking, we would ask how the assessments in their unit could be re-designed to enable marking to be completed within the time allocated by the (Parameters)."[27]
"The difficulty with the USC approach is that it fails to give work to the words "The workload model will accurately reflect the time taken to do the work." These are words inserted into the Agreement for the first time. Importantly it is the model described in clause 8.2.2(f), and not the entire process required by clause 8.2.2 that is required to accurately reflect the (median) time taken to do the work. Whilst the parties did not prescribe in the Agreement the method by which the quantitative standards would be "developed", it is implicit that some methodology is required to arrive at standards that "..accurately reflect the time taken to do the work." The methodology adopted to this point has failed."[29]
"...that compliance with clauses 19.2(e) and 19.2(f) requires that Curtin undertake sufficient enquires to objectively determine a reasonable standard for how long each defined duty takes to perform. That standard must reflect how long the task would ordinarily take an average academic to complete - not how long management expects it to take, nor how quickly an individual might perform it under pressure. Without such an objective foundation, the time allocated cannot properly be described as 'accurate' as required by the Agreement."[30]
"The task of the Commission is to interpret the Agreement and determine whether the Respondent has acted consistently with its binding obligations under the Agreement. This is not a dispute about whether some individuals may be able to negotiate different, more accurate allocations, at the discretion of management. Rather, the dispute is about whether the Respondent's current primary workload allocation process, based on the Faculty of Humanities Workload Allocation Parameters (Faculty Parameters), meets the obligations of the Agreement."[32]
"...flexibility must be exercised within a framework that complies with the Agreement. Any individual negotiation that takes place cannot be disentangled from the underlying system whose industrial purpose is to provide meaningful limits in industrial circumstances where "conventional hours of work and overtime provisions are not well-suited"."[33]
"Should the Commission determine that the answer to Question 1 is yes, the NTEU submits there is clear and compelling evidence that the Faculty Parameters do not accurately reflect the time it takes to perform the many of the relevant academic tasks. The NTEU submits that the Workload Group established by the University has not sought to properly enquire into how long it takes to perform the relevant academic tasks that undergird the Faculty Parameters, indeed it does not believe that it has an obligation to do so. Insofar as it has reviewed a limited number of parameters, the parameters it has reviewed are not those of most concern to academics (with the exception of unit coordination which was reduced in 2023)."[35]
"[t]he fact that a particular construction leads to a very unreasonable result must be a relevant consideration"[36]
"robust and dynamic consultative processes in place to manage and resolve individual staff member's workload related concerns."[37]
"...responsible for maintaining and updating the Parameters, which identify time allocations for the full range of teaching-related activities (including marking, moderation, unit coordination, preparation, consultation and unit development). The time allocations in the Parameters are informed by (among other things):
(a) "considering feedback from staff members, which is gathered:
(b) considering information provided by the Deputy Heads of School and School Business Managers as to the number and type of requests they receive from academic staff members for more time to undertake particular tasks; and
"...Faculty, via the Schools, communicates an expectation to all academic staff members that they perform the defined tasks comprising their roles within the time allocations set by the Parameters (or otherwise negotiated with the Head of School). This reflects the finite resources available to the University, which renders it necessary for it to exercise some control over how academic staff members spend their time. This also ensures consistency across the University.
This can, for example, involve staff members re-designing elements of their units so as to enable workload to be achieved within the allocated timeframes. Dr Rich gave evidence that he had engaged in such re-design work - re-designing an assessment so that it took significantly less time to mark."[40]
"The fact that a particular construction leads to a very unreasonable result must be a relevant consideration. The more unreasonable the result the more unlikely it is that the parties can have intended it, and if they do intend it the more necessary it is that they shall make that intention abundantly clear."
"...should examine all the facts and not to seek to interfere with the right of the employer to manage his own business unless he is seeking from the employees something which is unjust or unreasonable."[41]
"Because of the duty of care required. Because of the requirements to provide high level feedback to students and to ensure that they are growing effectively and that they're critically reflecting on these complex and nuanced topics that require a lot of sensitivity."
Some advice from Teaching and Learning leadership at School and Faculty has been to address these time constraints by reducing the number of assessments in units. Additionally, they have suggested utilising GenAI to assist with marking processes. These recommendations, however, raise significant concerns about the potential compromise of educational quality and the depth of student learning."

[1] See Applicant's Submissions page 2 at [3]-[5].
[2] See NTEIU v Flinders University of South Australia [2025] FWCFB 62 at [11] and [47].
[4] See Witness Statement of Dr Ben Rich at [22].
[6] See Witness Statement of Dr Ben Rich at [23].
[8] See Hearing Recording Number 3 20 May 2020 at time stamp 22:53.
[9] See Witness Statement of Dr Courtney Babb at [28].
[10] See Witness Statement of Dr Courtney Babb at [58]-[60].
[12] See Witness Statement of Younghye Seo Whitney at [44].
[14] See Berri at [114] and James Cook at [65].
[15] See Respondent's Submissions at [15].
[16] National Tertiary Education Industry Union v Flinders University of South Australia [2025] FWCFB 62 at [11].
[17] See Respondent's Submissions at [29].
[19] See Witness Statement of Professor Blythe at [13]-[14].
[22] See Witness Statement of Associate Professor Walker at [19].
[25] See Transcript 10 June 2025 at PN603.
[26] See Witness Statement of Professor Shine at [18].
[27] See Witness Statement of Mr Ashwood at [16]-[18].
[28] See Transcript 10 June 2025 at PN795.
[29] University of the Sunshine Coast v National Tertiary Education Industry Union [2021] FWC 6490 at [407].
[30] Applicant's Reply Submissions at [22].
[31] See Construction, Forestry, Mining and Energy Union v HWE Mining Pty Limited [2011] FWA 8288 at [10]; Cf Australian Federated Union of Locomotive Enginemen v State Rail Authority of New South Wales (XPT case) [1984] CthArbRp 432; (1984) 295 CAR 188.
[32] Applicant's Closing Submissions at [9].
[33] Applicant's Closing Submissions at [43].
[35] Applicant's Closing Submissions at [82].
[36] Treasury Wine Estates Vintners Limited v Pearson [2019] FCAFC 21; (2019) 268 FCR 12 at [76].
[37] Respondent's Submissions at [18].
[41] See State Rail as quoted in Endeavour Energy v CEPU [2012] FWAFB 4998 at [8].
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National Tertiary Education Industry Union
Curtin University [2025] FWC 3091
(2019) 268 FCR 12