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Analysis of Technology Implementation for Autism Education
Norshahidatul Hasana Ishak
1
, Siti Nurul Mahfuzah Mohamad
2*
, Mohd Lutfi Dolhalit
2
, Norazah Mohd
Nordin
3
, Nor Hafizah Adnan
3
, Juanita
4
, Muhammad Hafizi bin Mohd Ali
5
1
Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Melaka, Malaysia
2
Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
3
Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia
4
Universitas Muhammadiyah Purwokerto, Indonesia
5
Inter-City MPC (M) Sdn Bhd, 5, Jln Para U8/103, Shah Alam, Selangor, Malaysia
*Corresponding Author
DOI: https://doi.org/10.47772/IJRISS.2025.91200062
Received: 10 December 2025; Accepted: 16 December 2025; Published: 31 December 2025
ABSTRACT
An abstract is often presented separate from the article, so it must be able to Autism, also known as Autism
Spectrum Disorder (ASD), is classified as a neurodevelopmental disorder, social communication and social
interaction deficits. Children with autism have restricted repetitive behaviours, activities, and narrow interests.
ASD also makes it hard for them to imitate, pay attention to the same thing at the same time, understand goals,
share feelings, and use language to communicate and play with other people. They are usually in their own world.
To assist these children with autism, there are lots of tries to help them ease their daily activities and learning
sessions. This paper discusses the implementation and impact of technology for autism in education. The paper
review uses the Preferred Reporting Items for Systematic Review (PRISMA) method with a specific keyword,
which is autism robot special education technology”. Our results show that technology can create both
enjoyable and challenging learning settings. Most of the technologies are used to assist the learning process.
Hence, special education can use technology to help children with autism, such as robots, video, virtual reality,
interactive environments, games, and others that impact autism education. The review found that a humanoid
robot is the most suitable to assist these children. Some elements and learning styles also have been discovered
in this study. These technologies will positively impact children with autism by increasing social communication,
cognitive ability, emotional dimensions, and learning environment. This study is limited to three online
databases: Scopus, WoS, and IEEE. Future research with a different online database might be advantageous.
INTRODUCTION
The rapid development of technologies has benefited many areas, including education, social, business, health,
and others. Technology also acts as a decision-maker, assistive tool, communication tool and connecting tool,
which has been used broadly in education, including special needs children. Technologies can aid special needs
populations in their daily lives, but some are not usable enough due to price, education level, skill level,
compatibility concerns, etc. There are several types of special needs, and the present study focuses on Autism
Spectrum Disorder (ASD). Children with ASD need the same educational and pedagogical resources as typical
kids in order to improve their living conditions and advance their critical thinking and cognitive development in
their surroundings [1].
This research paper will discuss the implementation of technology for autism in education. It also analyses the
impact of the technology implemented, such as using humanoid robots as assistive tools for autism. The articles
consist of five main sections. Section 2 is on “related works”, which discusses ASD, Learning styles for Autism,
and Humanoid robots as assistive tools. Section 3 describes the research techniques in the “Material and
Methods” section, which explains how data for the study were gathered and selected. Meanwhile, Section 4
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focuses on “Digital Technology in ASD Education”, which analyses the execution of technology. Finally, Section
5 presents the suggestions and conclusion of the research.
Related Works
Autism Spectrum Disorder (ASD)
ASD is a neurodevelopmental disorder detected at three years old and characterised by social communication
and social interaction deficits. ASD children also have restricted repetitive behaviours, activities, and narrow
interests. Autism can occur in any race, people, or religion worldwide [2], [3]. It is also found that these disorders
appear to affect different ethnic and socioeconomic groups similarly, though boys are nearly five times as likely
to be diagnosed with one of these disorders than girls [4], [5], [6].
There are some limitations of social abilities in ASD, such as imitation, joint attention, goal understanding, affect
sharing, and communicative use of language and play [7]. A study by Alarcon et al. (2021) in his research [1]
found that people with ASD are less likely to imitate a range of tasks, increased imitation in ASD, with others'
behaviours (echopraxia) and words (echolalia) imitated without regard for context or meaning. Several field
studies demonstrate the therapeutic benefits of utilising interactive robots in therapy, including enhanced speech,
social engagement, and joint and directed attention [8].
Early intervention for ASD could improve the quality of life for ASD children and their families as they can
learn skills that can last a lifetime. Early intervention programs frequently include family education, speech
therapy, hearing impairment services, physical therapy, and nutrition services [9]. When technology occurs, it is
good to practice these interventions using technologies. Meanwhile, universal and standardised diagnostic
processes for ASD should be adopted for the prevention and control programs of ASD in the future [5]. Autistic
disorder, Asperger's disorder, Childhood Disintegrative Disorder (CDD), Rett's disorder, and PDD-NOS are the
five different subtypes of ASD [10] [11]. Nevertheless, Rett's Disorder is not classified as a type of ASD, as
stated by [12]. Fig. 1 below shows the types of ASD. Besides that, there are also levels of ASD, and each level
indicates the severity of ASD. Research done by Masi et al. (2017) [13] and Pietrangelo (2020) [12] summarised
the severity levels according to social communication and restricted, repetitive behaviour of ASD. Meanwhile,
a study by [14] summarises the characteristics of each autism level as shown in Table 1. Asperger's syndrome is
classified under Level 1, PDD-NOS is categorised under Level 2, and Autistic Disorder and CDD are placed in
Level 3. These levels are determined by an individual's strengths and limitations in communication, adaptability
to change, exploration of broader interests, and daily life management [15], [16]. Mohd et al. (2019) mentioned
in their research [17] that children with autism face difficulties in processing information, such as perceiving,
processing and interpreting the information and learning new things.
Figure 1. Types of Autism
Autism Spectrum
Disorder (ASD)
Aspergers' Syndrom
-
NOS
Autistic
Childhood Disintegrative
Disorder (CDD)
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Table 1. Severity level of Autism
Level
Descriptions
Social
Communication
Restricted, repetitive
behaviour
References
Level 1
(Requiring
support)
Known as
Mild Autism.
Intelligent
level is normal to
above average.
Asperger's
syndrome symptoms
are present, but the
need for support is
minimal.
Poor social skills,
difficulty initiating
social interactions, and
attempts to make friends
are odd and
unsuccessful.
Problems with inflexibility,
poor organisation, planning
problems, and switching
between activities impair
independence.
[12], [13], [15],
[16], [18]
Level 2
(Requiring
substantial
support)
Known as
Moderate Autism.
Mental level
lower than age.
PDD-NOS
Marked
difficulties in verbal
and nonverbal social
communication skills.
Social
interactions are
limited to narrow
special interests.
Markedly odd,
restricted repetitive
behaviours, noticeable
difficulties changing activities
or focus.
The inflexibility of
behaviour and other
restricted/repetitive behaviours
appear frequently enough to be
obvious to the casual observer
and interfere with functioning
in various contexts.
[12], [13], [15],
[16], [18]
Level 3
(Requiring
very
substantial
support)
Known as
Severe Autism.
Require help
with day-to-day
functioning.
CDD
Autistic
Disorder
Severe
difficulties in verbal and
nonverbal
communication.
Very limited
initiation of social
interactions and
minimal response to
social overtures from
others.
Very limited speech,
odd, repetitive behaviour;
many express their basic needs
only.
Inflexibility of
behaviour, extreme difficulty
coping with change, or other
restricted/repetitive behaviours
markedly interfere with
functioning in all spheres.
Great difficulty changing focus
or action.
[12], [13], [15],
[16], [18]
Learning Styles for ASD
Learning style is how individuals process information, behave towards the situation and feel while learning. It
is based on individual preferences when participating in the learning cycle and influences their personality, jobs,
education, and life experiences (Colorosa et al., 2014). For autism, some learning styles have been applied or
suggested to be implemented. Mohd et al. (2020) suggest combining learning with gaming to attract autistic
children to their learning process, which can increase their concentration in learning [19]. Usually, autistic
children love to have visual support for their learning sessions. However, according to Friedlander, they also
prefer learning through various modalities, including tactile, visual, auditory, and kinesthetic [20]. These
modalities can attract more attention and focus on learning sessions.
Meanwhile, three learning styles that were found by [21] are the specialised brain, learning and communication
styles, and VAK. According to research by [22], researcher, the difficulties in understanding mathematical
connections experienced by autistic children depend on their learning styles. As a result, they combined these
three learning styles, Visual, Auditory, and Kinesthetic (VAK), in their research, and the results showed a
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significance in implementing these styles in learning Mathematics. In this research, it is recommended that the
VAK be implemented in the humanoid robot to assist children with autism in learning mathematics. According
to [23], learners often exhibit diminished confidence levels; thus, it is crucial to acknowledge student
accomplishment by providing a reward for enhancements in class performance or timely completion of
assignments.
Humanoid Robot
There are two types of robots for special needs people: humanoid and non-humanoid. Humanoid robots refer to
robots that resemble similar human body shapes. Their movements and looks are like humans which is
programmable to do specific tasks [24]. Some examples of humanoid robots are NAO, ReRo, PVBoT,
DarwinOP, Misty II, Ubtext Lynx, and others. Research by [25] demonstrated that social-robot interaction could
teach children game rules more successfully than human interaction. Hence, instructing can be done quickly by
using robots, such as completing activities related to learning the numbers and recognising and sorting numbers.
The main reason is that the instructions given by the robot will be the same whenever they do the activities. ASD
children can get more engagement and interest [26] and be more comfortable interacting with robots than humans
[27]. A study by Dimitrova et al. (2020) on implementing a humanoid robot as developing a cognitive
architecture found that it is better to use a natural human architecture as it can better understand the cooperating
learners [28]. Hence, Boucena [29] found in his study of robotics systems, developed as interactive devices for
children with autism, have been used to assess the child’s response to robot behaviours to elicit behaviours that
are promoted in the child, to model, teach and practice a skill; and to provide feedback on performance in specific
environments. Regarding the robot's appearance, a study by Vagnetti and Brown suggested that a humanised
appearance and congruent intonation tend to evoke more positive feelings, hence it also found that the use of a
supportive robot in interventions with children with autism is positive in some attitudes, [30][31][32]. However,
it was believe if the robot has facila expression, it might give more positive results in engagement of the children
with ASD [33][34].
MATERIAL AND METHODS
The present study uses specific keywords in electronic databases containing related studies, journals, and
conferences. The databases where the information is collected include Scopus (scopus.com), IEEE
(ieeexplore.ieee.org/Xplore), and Web of Science (webofknowledge.com) with the keyword “autism robot
special education technology”. After collecting the related articles, the process is followed by reviewing,
analysing, and synthesising the literature on ASD and its learning styles. According to [35], To guide the
reviewing process, a research question needs to be developed in order to focus on the objectives. Therefore, the
following research questions are developed:
RQ1: What kind of technology is used to support ASD children in their learning?
RQ2: What is the impact of the technology implemented to support ASD children in their learning?
RQ3: What are the elements and learning styles used to support ASD children in their learning?
Search Strategy
The “autism robot special education technology” keyword used shows that 111 references were collected from
these three databases. Specifically, results from the Scopus database showed N = 61 references, the IEEE
database showed N = 11 references, and WoS showed N = 39 references. However, some of these 111 references
contained a duplication from another database. Hence, after the screening process, the remaining references
became N = 82. The screening was done by reading 82 references based on the title and abstracts. As for the
years of publication from 2018 - 2022, only N = 32 references were selected after being screened.
Selection Strategy
The inclusion criteria narrow the scope of the review in which the final number of references for this study is N
= 32. The paper review's flowchart uses the Preferred Reporting Items for Systematic Review (PRISMA) method
[24], [36] to ensure the quality of the review process.
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Figure 2 shows the summary of reference selection. When evaluating a review's validity, applicability, and
comprehensiveness, eligibility criteria are critical. It's important to note that the exclusion criteria were intended
to be progressive [37].The references should follow the main inclusion criteria, which are:
1. The study must be related to autism education.
2. The study must use robots or any technology for education or daily learning specifically built for autism.
3. The study should include experiments and results, models, or designs.
Figure 2. Summary of reference selection
Digital Technology in Asd Education
Digital technology in ASD education fosters personalized learning experiences, enhances social skills
development, and supports communication through interactive tools tailored to individual needs. According to
Valencia [38], there is great promise in the creation and assessment of applications and systems for people with
ASD. Unquestionably, technology innovations like virtual agents, artificial intelligence, virtual reality, and
augmented reality create a welcoming atmosphere that encourages lifelong learning for those with ASD.
Asisstive
Children with ASD can benefit from various learning aids, including robots that perform specialised activities
for a particular disorder, avatars, iPads, serious games, and virtual worlds [39]. Recent studies show most of the
research gives a positive impact of using the robot in assisting ASD children which can affect their
communication skills, social skills, behaviour, and cognitive ability [25], [40]. This statement also supported by
[41], which mention in his study that modern assistive technology, comprising the latest equipment and
programs, aids children with autism in enhancing cognitive abilities and improving problematic behaviours,
social communication, and academic success. Besides that, visual perception also facilitates the reception and
interpretation of visual stimuli, especially for academic, social and cognitive ability and mathematical
problemsolving [42]. However, before using these assistive tools to aid children with autism, teachers must
receive comprehensive training to effectively utilise these technologies to enhance their learning activities [43].
Virtual Reality (VR)
Simulation makes imitated situations available to the learner to practice and sharpen necessary skills rather than
having them jump right into the experience. VR is used in experiment reactions where students can experiment
virtually, and the results are the same as when they experiment in real. The impact of virtual reality technology
on autism treatment could be categorised into two broad themes: (i) using virtual environments for learning and
intervention to prepare individuals with ASD for real-world interactions better and (ii) using virtual environments
to study how individuals with ASD would behave in predefined social scenarios [44]. VR environment can
Articles identified
Scopus = 61, WoS = 39, IEEE = 11
Total: N = 111
Duplicates articles identified and removed
Total: N = 82
Screening title, abstract, exclusion criteria and years.
i) Not dedicated or related to autism
ii) Not using robots or any technology
for education and daily learning.
iii) No experiment and result, model,
or design.
Total:
N = 32
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provide safe, controlled yet highly interactive and realistic virtual scenarios, facilitating the psychoeducational
needs of people with ASD. More specifically, computer-generated graphics attract the attention and interest of
people with ASD because many rely on visual thinking. Moreover, because social situations can be repeatedly
reproduced in virtual reality, they could be introduced adaptively for knowledge and skill generalisation [45].
According to Newbutt [46], individuals with autism can practice interactions within a realistic environment that
can be programmed to reduce sensory and social inputs to a manageable level by using VR. When VR
applications are based on the essential traits of the ASD community, they can have a substantial positive impact.
The special benefits of VR for ASD therapy and its ability to study social interaction could be vital in resolving
the fundamental deficits of ASD and enhancing the present state people with ASD [47].
Interactive Environment
Tablets, computers, and mobile phones are categorised under interactive environments called dedicated
applications. It works on areas affected by ASD individuals and conditions related to ASD, mainly concentrating
on creating applications that help people with autism communicate through images and sounds. These systems
are widely accepted because they are simple and contain intuitive tools since they work with everyday items
[48]. In addition to standard teaching techniques, the use of well-designed gaming therapies for people with ASD
may offer potential for affordable teaching tools that can be utilised at home, in classrooms, or other therapy
settings [49]. Besides that, the use of augmented reality technologies can create unique interactive learning
environments for students with special educational needs that enrich the learning process and provide immediate
feedback [50], it is also supported by [51] mention that creating inclusive and adaptive learning environments
that meet functional requirements and promote the overall well-being of students with intellectual disabilities
may enhanced these special needs learning process. Meanwhile, research done by [52], found that immersive
environment was helpful for special need eductaion because of its engaging environment, interactive and playful
nature leading to higher involvement, facilitation of social skills, calming and relaxation effect, and “sandbox”
mode for skills to be practised in a safe space.
Robot
ASD children appear to be more comfortable interacting with robots than humans. In addition to lowering costs,
the primary advantage of employing technology to facilitate treatment is that therapists, schools, and parents
may control the treatment session, thereby ensuring consistency across sessions and enabling a concentration on
a specific issue [44]. Due to the inclusion of social robots in therapy has even observed how the children’s limited
interests and repetitive behaviour have improved [53].
Robots are a practical learning tool that helps children develop their social skills. The outcomes of earlier
research have shown a high interest in enhancing the interaction between robots and children with ASD. For
instance, it was discovered that social interactions improved as children with ASD started to talk and share robots
with their peers [54]. Robots can thus be employed as a mediator's tool to solicit feedback from autistic children
or to energise them during therapy sessions. Robots can tempt the participants by engaging in cognitive or
physical actions [55]. According to [56], the study found that some educators emphasised particular instances
where robots are likely to be influential, such as serving as "stepping stones" for social interactions and the ability
of personalised robots to address the unique learning requirements of individuals with autism.
A study by [57] concluded that the robots interacting with autistic people should be less detailed and less visually
complex than humans but still in human form. The reason is that autistic children prefer simple to mechanical
objects because it is much easier to gain social skills during human interactions.
Impact of Technology on Autism Education
Technology-based educational initiatives have the potential to (i) give students immediate and consistent
feedback; (ii) prioritise student agency in an active learning setting rather than treating them as passive
participants; (iii) dynamically control social expectations that are overly demanding and confusing; (iv) make
excellent use of visually cued instruction and multimodal interaction; and (v) be time and financially efficient
when it comes to providing individualised instruction. Table 2 shows the technology implementation for autism
with its analysis. Recently, many technologies have been implemented in special education, including ASD that
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have a variety of impacts and effects to them. Some of the impacts are providing a comfortable environment that
promotes constant learning for people with ASD [58].
From the references gathered, five studies use NAO as an assistive tool. Firstly, a study by [59]used two NAO
robots in their experiment. The NAO robots have 14 gestures and the ability to communicate. Their trial revealed
that children with ASD in the robot-based intervention group were more likely than those in the humanbased
intervention group to make eye contact with their teachers. According to the findings, these children considered
social robots more engaging than human teachers. However, merely engaging well with social robots may not
result in improved learning results. Meanwhile, [60] found providing some special support beneficial, either
synchronised or not during the pandemic. The intervention without non-interaction digital media can still deliver
the function of the special support tools to the ASD children. However, it showed positive results from interaction
during the live session with the robot, which involved videos and presentations.
In another study by [25] that still uses NAO robots, found that the initial therapeutic sessions have been
encouraging, indicating positive effects on participants’ communication and interaction skills, joint attention,
and cognitive flexibility. In addition, team games with multiple robots strengthened the critical bidirectional link
between the participants. Meanwhile, a study by [1] each child's progress is plodding and depends on their
emotional state, which affects the performance of the activity. Therefore, this indicates that even more sessions
are needed for this interaction with the robot to affect facial, verbal and body expressions significantly. Hence,
emotional expression should be stimulated in autistic children to gain their attention.
A study by Rosly [61] also used NAO to help children with autism. In the study, they use Zorabot as an interface
that can monitor the interaction of the NAO robot with the respondents, which is the most suitable for therapist
use in a robot-mediated telerehabilitation environment. The expression of emotions and eye contact with the
changes in eye’s colour has been recorded
Finally, a study by [62] also applied NAO as a medium to teach music and play the drum. The characteristics of
imitation and the turn-taking process are considered in this research. The research results show that a physical
robot tutor positively impacts the subject’s performance compared to a virtual avatar tutor. However, a virtual
avatar tutor causes minor failures in learning drums.
Ishak et al. found in their research [63]that the measurement of the interaction can be seen from language skills,
eye contact, imitation behaviour, facial expression, and robot movement. The research used the Rero robot and
tested the evaluation of engagement. The results indicated that learning with the robot is better than learning
with the teachers, and they suggested that it is better to introduce the robot to ASD children. The observer should
come from the person they already know. In another study, Wu [33] used emotions in robot heads by using
robotic head by applying six emotions, which are sad, happy, angry, surprised, fearful, and disgusted. The robot’s
head was covered with human-like skin, and the humanoid facial expression also uses expression recognition
training specifically for ASD children. In addition, the humanoid facial expression robot can also be used as an
experimental platform for rehabilitation training of ASD children.
Besides that, Kumazakai [64] found that using two humanoid robots can positively affect social communication
for ASD children compared to typical children. This is because ASD children provide a lengthier disclosure
when interacting with simple humanoid robots, whereas there are no differences in disclosure for typical
children. Meanwhile, [65] found that children accept the use of robots in instructions in which they used AsiRo-
μ to detect hand gestures, automatic speech recognition, text-to-speech function, and gesture imitation. However,
as it is only a robot face and has limited movements, the results showed that children with disabilities found it
difficult to imitate the requested gestures, even if they tried, as it still needs support from a person. However, the
results for listening were positive as they easily understood the questions as they tried to make the gestures they
liked. Lastly for humanoid robots, a study by Arshad [66] focused on four results which are (i) promoted interest
and engagement; (ii) increased attention and focus; (iii) triggered interaction and communication and (iv) created
a happy and fun learning environment. Their study found that social interaction affected cognition, which
includes eye contact, turn-taking, purposive and imitative, and gave positive results towards using the robot as
an assistive tool.
The implementation of the non-humanoid robot is also covered in this study. Javed and Park [67] found that the
users of their study confirmed the feasibility of their framework as an ER tool that offers similar benefits to both
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groups of children (typical and atypical groups) that provided more extended interactions in the emotion game
were seen to result in higher engagement levels in the subsequent sensory station activity. In their study, two
groups were used to test the effectiveness of the robot behaviours at the sensory stations. The ASD group showed
a higher overall engagement with the robots at the sensory stations than the TD group.
The second study using non-humanoid robots was conducted by [40] and found that ASD non-humanoid robots
was conducted by [40] and found that ASD children are more engaged with the robot than humans. Two variables
were measured in their study, which is Quality of Interaction (QI), which includes (i) Eye contact; (ii) Proximity;
and (iii) Verbal interaction. Another variable is Involvement in Teaching Process (ITP), which includes (i)
Difficulty in paying attention; (ii) The inability to sit and (iii) Difficulty following instructions). They
recommended that future studies consider adding more movements to the robot and changing its form. Finally,
a study by Paul in 2021 [68] on verbal, found that spontaneous verbal responses increased when Cozmo acted
as a Co-Instructor. Spontaneous responses from the children could also result from the robots' appearances, as
toy robots may feel non-threatening as opposed to humanoids. Moreover, they discovered that online
interventions with Cozmo increased compliance and improved their IEP goals.
Another study using a non-humanoid robot is [69] which uses the Jibo robot to treat children with ASD.
According to the statistical studies, the treatment suggested could maintain the children's interest. Furthermore,
children remained more involved in sessions with familiar activities than new ones. This study measures the
engagement between robots and children with ASD. Five activities were done with the robot: dances, songs,
emotions, touch me, and storytelling. All these activities were used to measure the engagement of the children
with ASD.
A study by Scassellati [70] using the robot Jibo found that after a one-month in-home intervention in which an
autonomous, socially assistive robot conducted daily social skills games, it was shown that children with ASD
showed directly measured gains in their social abilities. In this study, joint attention is measured while playing
games and engagement is assessed through storytelling.
Another technology that helps children with autism is Virtual Reality (VR). Study by [37] found that the of
immersive virtual reality environment helps children with autism learning third language. The study has run a
systematic review of foreign language education from 16 past researchers.
Finally, a study by [71] implementing the virtual reality to help children with ASD found that the ability of the
vr capable of raising up the social skills among children with ASD. From the baseline to the intervention period,
the participants' performance in social skills has improved. At follow-up, the enhanced performance in self-
expression, negotiation, and cognitive flexibility is sustained.
With the newest gadgets and apps, assistive technology helps children with ASDs and intellectual disabilities
improve their cognitive abilities, difficult behaviour, social skills, and academic achievement.
Table 2. Robot Technologies Implemented For Autism Education
Study
Technology
Type of
technology
Characteristics
Measure
Ishak et al. (2019)
Rero Robot
Humanoid
robot
Mobile
Speech enable
Controllable
Programmable
Attractive
Interaction
measure
language skills
Eye contact
Imitation
behaviour
Facial expression
Robot
movement.
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So et al. (2019)
Lytridis et al.
(2020)
Amanatiadis et al.
(2020)
Rosly et al. (2020)
Alarcon et al. (2021)
Robot NAO
Humanoid
robot
Programmable
Speak
Can produce gestures
Video
Eye contact
Joint attention
Cognitive
flexibility
Imitation
Turn-taking
Ince et al. (2021)
Wu et al. (2019)
Robotic head
Humanoid
robot
Can apply six
emotions to head
The head covered
with human-like
skin
Only head
Expression
recognition
Kumazaki (2019)
CommU
Humanoid
robot
Lips movement
Shifting gaze
Blinking eyes
Programmable
Social
communication
Javed and Park
(2019)
Romo robot
NonHumanoid
robot
Express 20 emotion
Programmable
Using mobile phone
Engagement
Sensory
Arshad et al. (2020)
Robot
LEGO
Mindstorm
EV3
(PvBOT)
Humanoid
robot
Programmable
Lego appearance
Touch,
Produce sound,
Light
Infrared
Interest and
engagement
Attention
and focus
Eye contact
Turn-taking
Purposive
Imitative
Fachantidis et al.
(2020)
Robot Daisy
NonHumanoid
robot
Produce expression
Speech
Quality of
interaction
Involvement in the
teaching process
Andrade-
Altamirano et al.
(2021)
AsiRO-μ
Half
Humanoid
robot
Detect hand gestures
Automatic speech
recognition
The function of text
to speech
Gesture imitation
Only has face
Limited movement
Engagement
Acceptance
Paul et al. (2021)
Cozmo robot
NonHumanoid
robot
Programmable
Speech
Communication
(Verbal)
Scassellati et al
(2018)
Rakhymbayeva
(2021)
Jibo
NonHumanoid
robot
Story telling
Playing game
Joint attention
skills
Eye contact
Engagement
Peixoto et al (2021)
Virtual
Reality
Immersive
VR
Language learning
Systematic review
Ke et al (2022)
Virtual
Reality
Dekstop based
Social-oriented
roleplay
Gaming
Social skills
performance
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DISCUSSION
The robotic intervention creates both enjoyable and challenging learning settings. This could assist teachers with
difficulties and challenging responsibilities in teaching ASD children with learning disabilities.
Section 4 answered RQ1, in which several technologies such as robots, video, virtual reality, interactive
environments, games, and others could help autistic children. At the same time, RQ2 was answered in which
technology significantly impacts autism education, especially in cognitive ability, behaviour, and social and
communication skills, contributing to a positive impact. This study also successfully answered RQ3, which
explained the elements and learning styles implemented to attract ASD children’s attention and concentration,
whereby game elements can be used in the learning process. Visual support is also important as they can have a
great imagination.
Furthermore, various learning styles could also be applied to ASD children as they are heterogeneous, and they
can be visual, audio, tactile or kinesthetic. Hence, eye contact, imitation, verbal interaction, facial expression
and turn-taking are commonly used in measuring the effectiveness of the technology. Despite the technology's
positive impact, there are still limitations. Generally, fully utilising the technology primarily for the robot is
costly. Besides that, it was also found that before using the technology, teachers or parents need sufficient
exposure to technologies to use it familiarly. In addition, the references for this study were also limited to 3
online databases: Scopus, WoS and IEEE. In the future, conducting a study involving more online databases
would be beneficial.
CONCLUSION
This study analysed the technologies implemented for autism education and its impacts on ASD children. As
robots have been mostly used as assistive tools to help ASD children, their human-like appearance would make
them feel more interested in and comfortable working with them. Other than robots, other technologies, such as
video, VR, interactive environments, games, and others, have been used. However, most studies are related to
humanoid or non-humanoid robots. These technologies can positively impact ASD children, especially in
increasing their social communication skills, cognitive ability, emotional dimensions, and learning performance.
This study is limited to 3 online databases: Scopus, WoS, and IEEE. Future research with a different online
database might be advantageous.
ACKNOWLEDGMENTS
The Malaysia Research University Network (MRUN) provided funding for the research project MRUNRAKAN
RU-2019-003/3 - Digital Aspects of 4IR Cross-Creative Learning Environment for Autism using Robot. This
study was carried out by the Fakulti Teknologi Maklumat & Komunikasi at Universiti Teknikal Malaysia Melaka
(UTeM)- (MRUN/2023/FTMK/MR0002) in close cooperation with the Faculty of Education, Universiti
Kebangsaan Malaysia (UKM).
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