The key messages in this Spotlight reveal that:

  • Effective use of teaching assistants can benefit several student cohorts, promote more inclusive environments and enable students with disability to access education[1].
  • However, some teaching assistant deployment models can reduce a student’s interactions with teachers and peers. This can impede a student’s academic and socio-emotional progress.
  • Teachers should remain responsible for pedagogical content knowledge and differentiation required for students with disability.
  • Teaching assistants predominantly improve student learning outcomes through the delivery of evidence-based interventions they have been specifically trained to deliver, including both learning and behaviour-based interventions.
  • Professional learning for both teachers and teaching assistants is one way to ensure clarity of roles in supporting students.

The Australian Institute for Teaching and School Leadership (AITSL) acknowledges the Traditional Custodians of the lands, sea countries, and waterways from across Australia. We pay our respect to Aboriginal and Torres Strait Islander histories and living cultures; and to Elders past and present.

Given the scope of teaching assistant support practices, deployment of teaching assistants typically uses one or more of three models (Figure 6):

Figure 6. Common deployment models for teaching assistants.

General classroom deployment

A qualified teacher and the teaching assistant work collaboratively to address the needs of all students (regardless of additional learning or accessibility requirements). This may involve rotating between groups so that all students work with the teacher and the teaching assistant either within, or across several lessons. This can include what is colloquially known as the helicopter model, where the teaching assistant 'hovers' in the background, provides assistance when needed but then moves on to allow students to work on their own again (Alston, 2020).

classroom-1

Targeted in-class deployment

Qualified teachers primarily work with students who don't have additional learning or accessibility requirements

Teaching assistant solely works with students with additional learning or accessibility requirements but within the same room as the rest of the class. Traditionally, there teaching assistant and the student(s) they support would be seated slightly apart from other students.

classroom-1

Targeted intervention deployment

Qualified teachers work with students of varying ability in mainstream classrooms.

Teaching assistants take nominated students (often students with additional learning or accessibility requirements) out of their usual classes to provide additional support in nominated areas. This will often comprise delivering evidence-based programs. Research indicates this approach is most effective when teaching assistants are specifically trained for the selected interventions.

classroom-1

These deployment models are widely used in Australia, New Zealand, the UK and the US (e.g. Education Review Office (ERO), 2022; Skipp & Hopwood, 2019) and the choice of model(s) can depend on the aim, school context, funding source and/or other factors. Many schools use a combination of models to provide greater flexibility in meeting the needs of students and teachers. An example of deployment varying with school context is a study from the UK, which showed that teaching assistants in primary schools spent a greater proportion of time with small or medium-sized student groups, and in secondary settings, teaching assistants mostly worked with individual students or roved around the classroom (Figure 7; Blatchford et al., 2009). Furthermore, teaching assistants only led whole classes in primary school settings; this practice was not seen in secondary schools within the study.

Figure 7. Observational data from the UK showed teachers and teaching assistants interact with students differently in primary and secondary school settings. Data from Blatchford et al. (2009).
figure-7

One of the few existing studies of teaching assistant deployment in Australian schools observed 41 teaching assistants in 4 schools from the Australian Capital Territory. Multiple models of deployment were used to support students with disability, both within and across the schools (Butt, 2016). These included dedicated classroom support for individual students, in-class support targeting multiple, pre-identified students and targeted out-of-class support for individual students and small groups.

Irrespective of the deployment model, the study found teaching assistants only assisted students with disability while qualified teachers primarily spent their time teaching students without disability (Butt 2016). This potentially resulted from the funding for teaching assistant positions within those schools being specifically linked to support for students with disability. A similar division of labour has, however, been reported in other countries, including in situations where teaching assistants were employed to support teachers rather than students with disability (e.g. Blatchford et al., 2006; Rose, 2020).

Historically, most students with intellectual disabilities attended specialised settings (e.g. special schools), and assistance for students with disability in mainstream schools focused on addressing physical needs, such as personal care or accessibility. Within specialised settings, the support teaching assistants offered to students was much broader, potentially including physical, emotional and learning support according to the needs of individual students. 

The shift towards greater inclusion of students with additional learning requirements in mainstream schools has significantly expanded the types of support that teaching assistants are expected to provide; moreover, the need for learning and behavioural support has also been increasingly recognised over the last few decades (Alborz et al., 2009; Rose, 2020; Sharma & Salend, 2016). For example, a study of 32 schools in the US found that paraprofessionals typically spent half their time on instructional tasks, with almost a quarter of their time spent providing behavioural support (Figure 8).


Figure 8. Survey data showing the proportion of time that teaching assistants in Vermont (US) spent on different types of tasks. Data from Giangreco et al. (2013).
figure-8

A recent review undertaken by AITSL (unpublished) found that instructional duties were mentioned within 75% of job advertisements or position descriptions for teaching assistant roles in Australia. Another review, undertaken 10 years earlier, similarly reported instructional duties mentioned in 85% of Australian advertisements for teaching assistants (Stephenson & Carter, 2014). 

Substantiating these findings, more than 80% of NSW teaching assistants reported undertaking 1:1 instruction on a daily basis (Figure 9, Carter et al., 2019) and a survey of 20 teaching assistants from Queensland found they all undertook instructional duties (Harris & Aprile, 2015). Internationally, teaching assistants also frequently undertake instructional roles, including individualised and small-group instruction to students with disability, teaching larger groups of students, and preparing and adapting teaching materials (Sharma & Salend, 2016).

Consequently, there can be a societal expectation that teaching assistants should improve student learning outcomes for students with disability, in addition to promoting social inclusion and fostering a greater sense of community and belonging (Alborz et al., 2009).

Figure 9. The fifteen most common tasks teaching assistants in NSW schools reported undertaking, and the proportion of teaching assistants that undertake these tasks at least once daily. Data from Carter et al. (2019).
figure-9

Over the last decade, an increasing number of studies have reported that teaching assistants spend the majority of their time undertaking direct instruction with one or more students (e.g. Giangreco et al., 2013; Green, 2023; Harris & Aprile, 2015; Webster et al., 2011). For example, a survey of 1,000 primary schools in Scotland found that most teaching assistants taught new concepts and set learning tasks (Warhurst et al., 2014); tasks that would more typically be regarded as the remit of teachers. Similarly, the literature notes that some teaching assistants have made (or been expected to make) curricular decisions without consulting teachers, with some teaching assistants also involved in assessing student performance (Sharma & Salend, 2016). Some concerns have been raised as to the appropriateness of teaching assistants undertaking such tasks when they do not have the training and knowledge of teachers (Giangreco, 2013).

Students’ social reliance on teaching assistants was investigated using observations of mainstream primary school classes in England and Wales. Periodic observations made between 1976 and 2012 indicate that peer interactions for students with disability have remained at around 18%, while peer interactions for students without disability have increased from 19% to 36% within the same timeframe (Webster, 2015). Instead of spending as much time interacting with peers, students with disability interact with teaching assistants for 20% of class time. This suggests the presence of teaching assistants may inhibit the development of peer friendships and the socio-emotional development of supported students (Webster, 2015; Webster & Blatchford, 2013). 

These data only capture part of the story, however, as students with disability also spend more time outside the classroom (for example, participating in interventions or support groups), further reducing peer interactions (Webster, 2015). Students with disability also have fewer interactions with their teacher than students without disability; this has become more pronounced with increased deployment of teaching assistants suggesting teaching assistant support is partly replacing teacher support or instruction (Webster, 2015; Webster & Blatchford, 2019).

The research literature demonstrates that:

  1. the increased presence of teaching assistants may displace interactions of the supported students with their teachers and peers,
  2. classroom teachers typically spend less time with students supported by teaching assistants,
  3. a teaching assistant may become a student’s main/sole educator by default, negatively impacting student development (ERO, 2022).

Research examining the influence of teaching assistants on student outcomes shows the model of deployment has a significant impact, especially with regards to student achievement. This section reviews the evidence for each deployment model.

General classroom deployment

Several studies suggest the general classroom deployment model may improve outcomes for students with disability, or from disadvantaged backgrounds. For example, a large-scale study of students who attended mainstream kindergartens in the US, in 2011, found students with disability who were placed in classrooms with teaching assistants had higher achievement outcomes compared to similar students in general classrooms without teaching assistants (Gottfried, 2017). Classroom deployment of a teaching assistant resulted in higher scores in reading and mathematics for students with disability if they attended for full days but not half days (Gottfried, 2017).

Additionally, a Danish trial involving 125 schools found that having an extra teaching assistant or teacher assigned to a classroom increased progress in student reading, relative to classes without additional staff (Andersen et al., 2023; Navarro, 2015), although due to cost constraints the additional teacher worked 10 hours per week, compared to 14 hours per week by the teaching assistant. The positive outcomes were more pronounced for students with disability, or from disadvantaged backgrounds. An earlier literature review suggested that general classroom deployment does not improve outcomes for students with disability (Sharma & Salend, 2016) but the articles included within this varied in quality (Cullen et al., 2020) suggesting a need for further research.

Targeted in-class deployment

On an international level, the most robust information about the impact of time spent working closely with teaching assistants on outcomes is derived from the Deployment and Impact of Support Staff (DISS) project. Running from 2004 to 2008, this project involved 8,000+ students across seven different year levels in 77 primary and secondary schools in England. It used a combination of student outcome data, observations, and surveys of teachers and school leaders to assess how the deployment of teaching assistants altered outcomes for students with disability.

Contrary to expectations, an inverse relationship was found between the amount of time spent working intensively with a teaching assistant within a class and students‘ academic progress, across all year levels examined in these mainstream schools (Blatchford et al., 2006, 2009; Webster et al., 2010). The more intensive the support students received, the less progress they made in English, mathematics, and science; likely due to pedagogical and instructional roles being performed by the teaching assistant rather than the teacher (Blatchford et al., 2009). Several large US-based studies showed similar outcomes (Giangreco, 2013). This trend is most pronounced for students with disability, but also holds true for students without disability or other learning or accessibility requirements (Alborz et al., 2009). 

Consequently, multiple authors recommend that when teaching assistants are required to work closely with students (e.g. for medical reasons or behavioural support), they should focus on encouraging interactions with peers and the teacher (e.g. ERO, 2022; Giangreco, 2013).

Why does intensive support from teaching assistants limit student progress?

The different variables influencing teaching assistant effectiveness are summarised in the Wider Pedagogical Role (WPR) model (Figure 10, Webster et al., 2011) The reported limited progress made by students with intensive teaching assistant support is predominantly linked to three components of this model; namely preparedness, deployment and practice (Webster et al., 2013).

The ‘practice’ component of the WPR model highlights the difference in how teachers and teaching assistants work with students. For example, teaching assistants are more likely to shut down questioning or conversation and to focus more on task completion than learning (Radford et al., 2011; Rubie-Davies et al., 2010; cited in Webster & Blatchford, 2019). Furthermore, while teachers spent more time on promoting cognitive engagement for students with class material, explaining concepts, and linking prior knowledge, teaching assistants were more likely to prompt students or provide the answers (Webster et al., 2011). The practice of teaching assistants can impede student progress by hindering student curiosity and inquisitiveness, discouraging students from thinking for themselves (Radford et al., 2015).

Consequently, professional learning for teaching assistants can focus on improving practice and pedagogy (see Professional learning below). Teaching assistants could be provided with detailed instructions and materials to follow, such as scripts for evidence-based interventions, and supported to develop their pedagogical knowledge.

Figure 10. The Wider Pedagogical Role model outlining the various factors that influence the effectiveness of teaching assistants. The blue boxes are aspects linked to teaching assistants' negative impacts on the academic outcomes of the students they support. Adapted from: Blatchford et al. (2013).
figure-10

Teaching assistants often complete short courses focused on types of disability, and some teachers defer to the teaching assistant rather than engaging directly with the student. This may be due to some teachers having less confidence in teaching students with disability (e.g. Dimova et al., 2021; Punch, 2015). An observational study from England compared the teaching, support and interactions of 48 primary school students with moderate learning difficulties or behavioural, emotional and social difficulties, with those of 151 average-attaining students (Webster & Blatchford, 2013, 2015). They found teachers often failed to set appropriate tasks for students with learning difficulties, instead relying on teaching assistants to make classroom teaching accessible. However, this resulted in students with disability receiving less effective instruction compared to other students (Webster & Blatchford, 2019). Teachers need to adapt tasks, class activities and learning content for students with disability with explicit instructions to teaching assistants. 

Surveys of teachers and teaching assistants have also identified multiple factors that either enhance or impede their ability to impact student outcomes (Jackson et al., 2021; Sharma & Salend, 2016), most of which overlap with the WPR model. For example, insufficient training, limited opportunities to communicate or collaborate with teachers, and insufficient supervision were all highlighted as barriers to effective performance (Table 1; Sharma & Salend, 2016). Uncertainty around their duties and role boundaries was also raised as an issue by teaching assistants, which may see them given direct instructional, pedagogical roles; a potential risk to students’ academic progress (Webster et al., 2011). 

Table 1. Factors that teaching assistants identified as promoting or impeding their efficacy, as reported in Sharma & Salend (2016).

Factors that impede teaching assistant efficacy

Factors that promote teaching assistant efficacy

  • Unclear and inconsistent guidelines and lack of clarity about their duties and/or responsibilities 
  • Clear expectations but working flexibly 
  • Sporadic opportunities for professional learning 
  • Limited induction process [if any provided]

 

  • Targeted professional learning for teaching assistants and the teachers they work with

 

  • Lack of communication with teachers about students, lesson planning and implementation
  • Effective communication and collaboration
  • Sharing information (about students) and lessons and teaching practices 

 

  • Insufficient supervision, support and feedback from teachers 
  • Sufficient planning time with teachers
  • Being observed by and receiving feedback from other professionals
  • Feeling unappreciated and/or underpaid
  • Heavy workloads
  • Working in supportive teams of teaching assistants and teachers

Targeted intervention deployment

Several reviews of the influence of interventions delivered by teaching assistants have previously been published. Two reviews have shown targeted, evidence-based interventions delivered by teaching assistants can positively influence the social interactions of students with disability (Sharma & Salend, 2016; Sutton et al., 2019), one of which focused specifically on students with autism (Sutton et al., 2019). Additionally, two reviews focused on academic gains showed that when teaching assistants were well-trained and supported to deliver targeted interventions, they had a positive impact on the progress of students with learning disabilities, or with low literacy skills (Farrell et al., 2010; Sharma & Salend, 2016).

In contrast, non-targeted interventions and general classroom deployment did not show positive outcomes for student achievement. One review indicated that when teaching assistants closely adhered to guidance on how to deliver a specific intervention, the gain in student learning was similar to when teachers delivered the same intervention (Farrell et al., 2010). However, teaching assistants rarely receive sufficient training, supervision and support to deliver interventions effectively (Sharma & Salend, 2016).

Based on these three reviews, several recommendations have been made to ensure targeted interventions delivered by teaching assistants achieve the intended outcomes (Figure 11; Cullen et al., 2020). Key points include ensuring teachers remain responsible for appropriate pedagogical practice, providing professional learning and focusing on effective teaching practices.

Figure 11. Suggested actions to improve the effectiveness of teaching assistants based on reviews of targeted interventions. Adapted from Cullen et al., (2020).
figure-11

Broader studies of interventions delivered by teaching assistants

Multiple reviews demonstrate evidence-based interventions delivered by teaching assistants can positively influence the academic achievement of students more generally, (Alborz et al., 2009; Navarro, 2015; Nickow et al., 2020; Sharples et al., 2021). The evidence is strongest for literacy, with additional limited evidence available for numeracy interventions delivered by teaching assistants (Alborz et al., 2009; Baye et al., 2019; de Bruin et al., 2023; Jones et al., 2018; Sharples et al., 2021).

For example, multiple randomised control trials[4] have shown the effectiveness of teaching assistant-led interventions in literacy, with only a few such trials demonstrating this for numeracy (Table 2; Education Endowment Foundation (EEF), 2021). On average, targeted interventions delivered by teaching assistants can increase student progress by 5 months[5], although this is also slightly lower for numeracy than for literacy (EEF, 2021). Low-performing students and disadvantaged students from low socio-economic backgrounds appear to benefit most from targeted interventions (Dietrichson et al., 2017; Navarro, 2015).

Table 2. Evaluation results for literacy, memory and numeracy interventions led by teaching assistants (funded by the EEF). Adapted from EEF (2021).

Intervention

Description

Age

Specific Focus Areas

Learning Gain (effect size)

Nuffield Early Language InterventionOral language interventionEarly YearsCommunication and language+ 4 months (0.27)
REACHComprehension and oral languageYear 7, Year 8Oral language and reading comprehension + 4 months (0.32) + 6 months (0.51)
Switch-on ReadingReading recovery (10 weeks)Year 5-7Reading comprehension+ 3 months (0.24)
Talk for LiteracyOral language interventionYear 7Speaking and listening+ 3 months (0.2)
Catch Up Literacy1:1 tailored teaching assistant supportYears 3-6Working memory+ 3 months (0.24)
Abracadabra (ABRA) – best possible conditionsOnline or paper-based toolkit of age-appropriate activitiesYear 1phonics, fluency and comprehension+ 3 months [paper] & + 2 months [online]

 

Abracadabra (ABRA) – everyday conditionsOnline or paper-based toolkit of age-appropriate activitiesYear 1phonics, fluency and comprehension+ 2 months [paper] & 0 months [online]
Improving working memorySmall groups led by teaching assistantsYears 3-6Working memory+ 3 months (0.24)
Catch Up Numeracy1:1 instruction by teaching assistants for struggling learnersYears 2-6-+ 3 months (0.21)
onebillionApp-based tutoring supervised by teaching assistantsYear 1Basic mathematics skills+ 3 months (0.25)

It is important to ensure teaching assistants are trained both in the theory of the specific intervention(s) they deliver, as well as how to deliver the intervention (Causton-Theoharis et al., 2007; EEF, 2021). For example, all the interventions the EEF found to be effective included professional learning for teaching assistants as part of their process. In addition to improving teaching assistant capability, undertaking such learning is likely to increase the fidelity with which the teaching assistants deliver the intervention. Teachers should also monitor delivery of the intervention to ensure fidelity, as well as the quality of support provided by the teaching assistant. Furthermore, the use of teaching assistants to deliver interventions is consistent with recent recommendations regarding the use of a multi-tiered system of supports (MTSS) in Australian schools (e.g. Australian Education Research Organisation (AERO), 2023, 2024a, 2024b).

In summary, this deployment model appears to strongly influence the impact of teaching assistants on student outcomes. Targeted intervention deployment appears to be an effective option for improving multiple student outcomes when teaching assistants are properly trained to deliver the specific intervention and adhere to delivery instructions. Additional recommendations on how to maximise the positive influence of teaching assistants are discussed below.

Footnotes

  1. This Spotlight uses the social model of disability, which recognises that the physical, cultural (including attitudinal) and communication barriers can preclude people living with long-term health conditions from participating in society on an equitable basis as people without long-term health conditions.
  2. In Australia, the term ‘adjustments’ refers to any “changes to curriculum (what is taught), instruction (how it is taught) and general support (e.g., behaviour management, environmental changes, personal or medical care) used to facilitate the learning of students with special educational needs in mainstream classrooms” (Carter et al., 2022). These adjustments are intended to remove barriers to learning and engagement and typically provide students with additional support, both within their classrooms and school activities more broadly (Department of Education and Training, 2015).
  3. Whilst the terminology may differ between Australian states and education systems, this Spotlight defines:

    • ‘special schools’ as schools which provide education programs designed specifically for students with disability; and
    • ⦁ ‘special assistance schools’ as those which primarily cater to students with social, emotional or behavioural difficulties while ‘specialised settings’ encompasses both of these school types.
  4. Randomised controlled trials (RCT) are robust trials “that measure the effectiveness of a new intervention or treatment. Randomization [sic] reduces bias and provides a rigorous tool to examine cause-effect relationships between an intervention and outcome” (Hariton & Locascio, 2018). As such, RCT are often considered the ‘gold standard’ of research trials.
  5. The Education Endowment Foundation measures student progress as equivalent to the progress expected against a baseline school year. 5 months progress indicates that students who participated in the interventions increased their learning by the equivalent of 5 months (even if the interventions were shorter than this) (EEF. 2022)

 

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Variable that is controlled or changed and assumed to impact the dependent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable that is controlled or changed and assumed to impact the dependent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.

Variable being measured that is ‘dependent’ on the independent variable.