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Children With Autism’ Communication in Saudi Arabia Proposal

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Updated: Jul 14th, 2020


Autism is a neural abnormality that occurs in children and is difficult to detect (Woolfson, 2011; Tek, Jaffery, Fein, & Naigles, 2008; Tong, Sainsbury, & Craig, 2007). The condition is harmful to children since it affects their development and can cause learning disorders (Lindsey-Glenn & Gentry, 2008; Matson, 2007; Lingnau & Lenschow, 2010). The topic of autism has not received much attention from researchers and there is inadequate information regarding the effectiveness of digitalized learning among autistic children (Mills, 2013; Mintz, Gyori, & Aagaard, 2012; O’Brien & Pearson, 2014; Moore, 2011).

Parents of children with autism in Saudi Arabia have complained that the government has neglected the needs of autistic children by failing to finance their education and research to detect the effectiveness of the digital platform to facilitate their learning. Various companies across the world have engaged in the development of software and applications designed to reduce the difficulty that characterizes autistic learning (Rogers & Dawson, 2010; Scheuermann & Webber, 2012; Sapsford & Jupp, 2006). This research proposal will explore the difficulties experienced by autistic children based on research findings contained in the current literature and give recommendations to the ministry of education in Saudi Arabia on the effectiveness of digital games. The study will identify a sample of autistic children to base their recommendations on and provide the methodology used to arrive at the conclusions and commendations.


Assistive technologies targeting children suffering from autism have gradually evolved as the Apple Company enhances the manufacturing of electronic devices that suit the needs of that group of students (Powell & Jordan, 2011; Rao & Gagie, 2006; Preissler & Carey, 2005). The invention of iPod, iPad, and tablets has been a major step towards solving the problem of autistic learning. However, a gap exists between their existence and their integration into the curriculum of autistic learning (Sebat et al., 2007; Siegel, 2013; Shamir & Margalit, 2011). In Saudi Arabia, few children have benefited from the new invention since little knowledge exists on the effectiveness of digitalized autistic learning. In addition to gadgets, various applications have been developed that suit the needs of autistic children. The applications are designed in such a way that they help teachers to make appraisals regarding children’s understanding of the lessons using adaptive techniques and multimedia features.

Some apps such as the ABPathfinder can collect and centralize data regarding students’ performance in a class setting (Müller, Schuler, & Yates, 2008; Noens & van Berckelaer-Onnes, 2014; Symes & Humphrey, 2011b). Such an app may help teachers in the appraisal process for their students’ performance. The quality of data entered into the digital system is guaranteed since the apps have the automatic ability to correct errors in the instructions given by different tutors in an autistic class setting.

Research Question

Do digital games and assistive technology improve communication of children with autism in Saudi Arabia

Literature Review

Numerous studies have covered the issue of autism among children and the difficulties experienced by the group regarding education and communication (Cheng & Ye, 2010; Chowdhury, 2009; Cowan & Allen, 2007). However, only a few types of research connecting the new technology with autistic learning have been documented thus limiting the benefits of the novel expertise for the group (Oberleitner, Ball, Gillette, Naseef, & Stamm, 2012; Ozonoff et al., 2008; Parish‐Morris, Hennon, Hirsh‐Pasek, Golinkoff, & Tager‐Flusberg, 2007). Nevertheless, in the past few decades, researchers have devoted their energy and time towards research aimed at establishing the link between the two to maximize the benefits that accrue from the new technology (Klinger, Klinger, & Pohlig, 2007; Korhonen, Kärnä, & Räty, 2014; Kourkoulou, Kuhn, Findlay, & Leekam, 2013). Kientz, Goodwin, Hayes, and Abowd (2013) explore the opportunities afforded by the new technology giving illustrative examples to that effect. According to Krug, Arick, and Almond (2008), the companies involved in the production of the apps consider both the connection to the technology that many students have and the adaptive nature of assessments.

Lessons available concerning the digital platform integrate theoretical work with practical activity to assess the students’ comprehension of the lesson (Reed, Watts, & Truzoli, 2013; Ritchie, Lewis, Nicholls, & Ormston, 2013; Rehfeldt, Dillen, Ziomek, & Kowalchuk, 2007). In such cases, a student is awarded a badge upon completing the activity. The activity-based lessons make students remain engaged and motivate them to concentrate on classwork to acquire the badge at the end of the activity (Stokes, 2008; Symes & Humphrey, 2011a). To acquire the badge, a student is asked to provide certain links available in the lessons, a strategy that equally mobilizes students’ concentration and communication (Mayes & Calhoun, 2007; McGonigle-Chalmers, Alderson-Day, Fleming, & Monsen, 2013; Micali, Chakrabarti, & Fombonne, 2014). Repetition is yet another tool that is included in the digital learning where certain components of a lesson are repeated systematically in a lesson to boost the students’ understanding (Ferreira, Travassos, Sampaio, & Pereira-Guizzo, 2013; Fombonne et al., 2014; Fletcher-Watson, 2014).


Sample Size

The sample will be selected from a cross-section of autistic institutions in Saudi Arabia with the help of teachers in such schools. The sample will be large enough (80 children) to allow the generalization of results attained from the study (Moore, McGrath, & Thorpe, 2010; Morse, 2011; Moore & Calvert, 2010). All children between the ages of 6 and 18 years with autistic behaviors will be eligible for recruitment in the study. The sample will be divided into two: digital learning will be availed to one group while control group learning will follow the manual book and pencil method of study.

Data Collection

Data will be collected and analyzed through both qualitative and quantitative methods to capture all the important data from the participants successfully. Each student will have access to an iPad with all the necessary apps installed. With the help of the ABPathfinder software, each student will be required to attend a 3-hour lesson, which will involve the basics of autism learning as spelled in the curriculum (Boyd et al., 2015; Lind & Williams, 2012; Lawson, 2010). Under the digital learning method, the students will then be required to attempt activities that appear at the end of each lesson (Harrison, O’Hare, Campbell, Adamson, & McNeillage, 2012; Hill, 2014; Kéri, 2014). Data regarding the students who manage to acquire a badge following their ability to answer the questions correctly will be gathered and used as the basis for assessing the overall results. The 3-hour lessons will continue daily for about one month with results from each session recorded for later analysis. The sessions will run concurrently with the manual ones, and the results from each group collected.

The probability sampling method will be used for this research since the participants’ contacts will be readily available. Also, this method, if properly used, gives more accurate results than can accurately be generalized. Under this method, statistical methods would be invoked to select randomly the data to be analyzed (Grynszpan, Weiss, Perez-Diaz, & Gal, 2014; Dowell, Mahone, & Mostofsky, 2009; Duarte, Bordin, Yazigi, & Mooney, 2005).

Generalization of Results

The outcomes acquired from the study will be deemed to represent the whole population with only a 5% error allowance. The findings will, therefore, be deemed 95% correct and generalization shall be practical. The results from the findings will then be represented in charts and graphs for easy interpretation (Bosseler & Massaro, 2008; Bradley & Bolton, 2010; Mechling, Gast, & Seid, 2009). The generality of the outcomes will be the final step where the findings got from the sample will be deemed to represent the whole population.

Analysis of Results

The digital framework will allow teachers to analyze the data effectively (Beale, 2005; Beaumont & Sofronoff, 2008; Boisvert, 2014). It provides an easy way of representing students’ performance data in charts and graphs for easy analysis. Data from all students involved in the study will be analyzed and presented in charts and graphs for simple retrieval and interpretation (Abell, Bauder, & Simmons, 2007; Aresti-Bartolome & Garcia-Zapirain, 2014; Åsberg & Sandberg, 2010).


Autism is a disorder characterized by social and communication problems that make learning for the affected children difficult. Children suffering from the condition face challenges in relating to their peers and at times may show signs of anger for unjustifiable reasons. Research indicates that stigma greatly compounds the problem of learning among autistic kids as they face stigmatization from their colleagues. However, according to recent data, the number of children who have benefited from the new technology has risen over the past few decades as new improved gadgets continue to evolve.


Abell, M., Bauder, D., & Simmons, T. (2007). Access to the general curriculum: A curriculum and instruction perspective for educators. Intervention in school and clinic, 29(2), 82.

Aresti-Bartolome, N., & Garcia-Zapirain, B. (2014). Technologies as support tools for persons with autistic spectrum disorder: A systematic review. International journal of environmental research and public health, 11(8), 7767-7802.

Åsberg, J., & Sandberg, A. D. (2010). Discourse comprehension intervention for high‐functioning students with autism spectrum disorders: Preliminary findings from a school‐based study. Journal of Research in Special Educational Needs, 10(2), 91-98.

Beale, I. L. (2005). Scaffolding and integrated assessment in computer-assisted learning (CAL) for children with learning disabilities. Australasian Journal of Educational Technology, 21(2), 56-60.

Beaumont, R. B., & Sofronoff, K. (2008). A new computerized advanced theory of mind measure for children with Asperger syndrome: The ATOMIC. Journal of Autism and Developmental Disorders, 38(2), 249-260.

Boisvert, M. (2014). No student left unserved: Yes, telepractice can work with our most behaviorally challenged students in schools. Here’s how. The ASHA Leader, 19(12), 48-52.

Bosseler, A., & Massaro, D. W. (2008). Development and evaluation of a computer-animated tutor for vocabulary and language learning in children with autism. Journal of autism and developmental disorders, 33(6), 653-672.

Boyd, L. E., Ringland, K. E., Haimson, O. L., Fernandez, H., Bistarkey, M., & Hayes, G. R. (2015). Evaluating a collaborative iPad game’s impact on social relationships for children with an autism spectrum disorder. ACM Transactions on Accessible Computing (ACCESS), 7(1), 3.

Bradley, E., & Bolton, P. (2010). Episodic psychiatric disorders in teenagers with learning disabilities with and without autism. The British Journal of Psychiatry, 189(4), 361-366.

Cheng, Y., & Ye, J. (2010). Exploring the social competence of students with autism spectrum conditions in a collaborative virtual learning environment: The pilot study. Computers & Education, 54(4), 1068-1077.

Chowdhury, U. C. (2009). Autistic spectrum disorders: Assessment and intervention in children and adolescents. British Journal of Medical Practitioners, 2(4), 30.

Cowan, R. J., & Allen, K. D. (2007). Using naturalistic procedures to enhance learning in individuals with autism: A focus on generalized teaching within the school setting. Psychology in the Schools, 44(7), 701-715.

Dowell, L. R., Mahone, E. M., & Mostofsky, S. H. (2009). Associations of postural knowledge and basic motor skill with dyspraxia in autism: Implication for abnormalities in distributed connectivity and motor learning. Neuropsychology, 23(5), 563.

Duarte, C. S., Bordin, I. A., Yazigi, L., & Mooney, J. (2005). Factors associated with stress in mothers of children with autism. Autism, 9(4), 416-427.

Ferreira, M. I. J., Travassos, X. L., Sampaio, R., & Pereira-Guizzo, C. D. S. (2013). Digital games and assistive technology: Improvement of communication of children with cerebral palsy. International Journal of Special Education, 28(2), 36-46.

Fletcher-Watson, S. (2014). A targeted review of computer-assisted learning for people with autism spectrum disorder: Towards a consistent methodology. Review-Journal of Autism and Developmental Disorders, 1(2), 87-100.

Fombonne, E., Heavey, L., Smeeth, L., Rodrigues, L. C., Cook, C., Smith, P. G., & Hall, A. J. (2014). Validation of the diagnosis of autism in general practitioner records. BMC public health, 4(1), 5.

Grynszpan, O., Weiss, P. L., Perez-Diaz, F., & Gal, E. (2014). Innovative technology-based interventions for autism spectrum disorders: A meta-analysis. Autism, 18(4), 346-361.

Harrison, M. J., O’Hare, A. E., Campbell, H., Adamson, A., & McNeillage, J. (2012). Prevalence of autistic spectrum disorders in Lothian, Scotland: An estimate using the “capture-recapture” technique. Archives of Disease in Childhood, 91(1), 16-19.

Hill, E. L. (2014). Executive dysfunction in autism. Trends in cognitive sciences, 8(1), 26-32.

Kéri, S. (2014). Social influence on associative learning: Double dissociation in high-functioning autism, early-stage behavioral variant frontotemporal dementia, and Alzheimer’s disease. Cortex, 54, 200-209.

Kientz, J. A., Goodwin, M. S., Hayes, G. R., & Abowd, G. D. (2013). Interactive technologies for autism. Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, 2(2), 1-177.

Klinger, L. G., Klinger, M. R., & Pohlig, R. L. (2007). Implicit learning impairments in autism spectrum disorders. New developments in autism: The future is today, 1(3), 76-103.

Korhonen, V., Kärnä, E., & Räty, H. (2014). Autism spectrum disorder and impaired joint attention: A review of joint attention research from the past decade. Nordic Psychology, 66(2), 94-107.

Kourkoulou, A., Kuhn, G., Findlay, J. M., & Leekam, S. R. (2013). Eye movement difficulties in autism spectrum disorder: Implications for implicit contextual learning. Autism Research, 6(3), 177-189.

Krug, D. A., Arick, J. R., & Almond, P. (2008). An autism screening instrument for educational planning. Austin, TX: Pro-ed.

Lawson, W. (2010). The passionate mind: How people with autism learn. London: Jessica Kingsley Publishers.

Lind, S. E., & Williams, D. M. (2012). The association between past and future-oriented thinking: Evidence from autism spectrum disorder. Learning and Motivation, 43(4), 231-240.

Lindsey-Glenn, P. F., & Gentry, J. E. (2008). Improving vocabulary skills through assistive technology: Rick’s story. TEACHING Exceptional Children Plus, 5(2), 2.

Lingnau, A., & Lenschow, H. (2010). Scenarios for computer-supported learning in a special needs classroom. Journal of Assistive Technologies, 4(2), 26-35.

Matson, J. L. (2007). Determining treatment outcome in early intervention programs for autism spectrum disorders: A critical analysis of measurement issues in learning-based interventions. Research in developmental disabilities, 28(2), 207-218.

Mayes, S. D., & Calhoun, S. L. (2007). Learning, attention, writing, and processing speed in typical children and children with ADHD, autism, anxiety, depression, and oppositional-defiant disorder. Child Neuropsychology, 13(6), 469-493.

McGonigle-Chalmers, M., Alderson-Day, B., Fleming, J., & Monsen, K. (2013). Profound expressive language impairment in low functioning children with autism: An investigation of syntactic awareness using a computerized learning task. Journal of autism and developmental disorders, 43(9), 2062-2081.

Mechling, L. C., Gast, D. L., & Seid, N. H. (2009). Using a personal digital assistant to increase independent task completion by students with an autism spectrum disorder. Journal of autism and developmental disorders, 39(10), 1420-1434.

Micali, N., Chakrabarti, S., & Fombonne, E. (2014). The broad autism phenotype findings from an epidemiological survey. Autism, 8(1), 21-37.

Mills, S. (2013). Underlying neural causes of autism spectrum disorder. Sound Neuroscience: An Undergraduate Neuroscience Journal, 1(2), 2.

Mintz, J., Gyori, M., & Aagaard, M. (2012). Touching the future technology for autism: Recommendations. Lessons from the HANDS Project, 15, 117.

Moore, D. (2011). Computer-based learning systems for people with autism. Disabled students in education: Technology, transition, and inclusivity, 5(3) 84.

Moore, D., McGrath, P., & Thorpe, J. (2010). Computer-aided learning for people with autism: A framework for research and development. Innovations in Education and Teaching International, 37(3), 218-228.

Moore, M., & Calvert, S. (2010). Brief report: Vocabulary acquisition for children with autism: Teacher or computer instruction. Journal of autism and developmental disorders, 30(4), 359-362.

Morse, J. M. (2011). Determining the sample size. Qualitative health research, 10(1), 3-5.

Müller, E., Schuler, A., & Yates, G. B. (2008). Social challenges and supports from the perspective of individuals with Asperger syndrome and other autism spectrum disabilities. Autism, 12(2), 173-190.

Noens, I., & van Berckelaer-Onnes, I. (2014). Making sense in a fragmentary world communication in people with autism and learning disability. Autism, 8(2), 197-218.

O’Brien, G., & Pearson, J. (2014). Autism and learning disability. Autism, 8(2), 125-140.

Oberleitner, R., Ball, J., Gillette, D., Naseef, R., & Stamm, B. H. (2012). Technologies to lessen the distress of autism. Journal of aggression, maltreatment & trauma, 12(2), 221-242.

Ozonoff, S., Macari, S., Young, G. S., Goldring, S., Thompson, M., & Rogers, S. J. (2008). Atypical object exploration at 12 months of age is associated with autism in a prospective sample. Autism, 12(5), 457-472.

Parish‐Morris, J., Hennon, E. A., Hirsh‐Pasek, K., Golinkoff, R. M., & Tager‐Flusberg, H. (2007). Children with autism illuminate the role of social intention in word learning. Child Development, 78(4), 1265-1287.

Powell, S., & Jordan, R. (Eds.). (2011). Autism and learning: A guide to good practice. New York: Routledge.

Preissler, M. A., & Carey, S. (2005). The role of inferences about referential intent in word learning: Evidence from autism. Cognition, 97(1), 13-23.

Rao, S. M., & Gagie, B. (2006). Learning through seeing and doing: Visual supports for children with autism. Teaching Exceptional Children, 38(6), 26.

Reed, P., Watts, H., & Truzoli, R. (2013). Flexibility in young people with autism spectrum disorders on a card sort task. Autism, 17(2), 162-171.

Rehfeldt, R. A., Dillen, J. E., Ziomek, M. M., & Kowalchuk, R. K. (2007). Assessing relational learning deficits in perspective-taking in children with a high-functioning autism spectrum disorder. The Psychological Record, 57(1), 23.

Ritchie, J., Lewis, J., Nicholls, C. M., & Ormston, R. (Eds.). (2013). Qualitative research practice: A guide for social science students and researchers. California: Sage Publishers.

Rogers, S. J., & Dawson, G. (2010). Early start Denver model for young children with autism: Promoting language, learning, and engagement. New York: Guilford Press.

Sapsford, R., & Jupp, V. (Eds.). (2006). Data collection and analysis. California: Sage.

Scheuermann, B., & Webber, J. (2012). Autism: Teaching does make a difference. Boston: Wadsworth Publishing Company.

Sebat, J., Lakshmi, B., Malhotra, D., Troge, J., Lese-Martin, C., Walsh, T., & Wigler, M. (2007). The strong association of de novo copy number mutations with autism. Science, 316(5823), 445-449.

Shamir, A., & Margalit, M. (2011). Technology and students with special educational needs: New opportunities and future directions. European Journal of Special Needs Education, 26(3), 279-282.

Siegel, B. (2013). Helping children with autism learn: Treatment approaches for parents and professionals. New York: Oxford University Press.

Stokes, E. (2008). Profiles used in teaching and research for developing multimedia games for pupils with autism spectrum (AS). International Journal on Disability and Human Development, 7(1), 39-48.

Symes, W., & Humphrey, N. (2011a). School factors that facilitate or hinder the ability of teaching assistants to effectively support pupils with autism spectrum disorders (ASDs) in mainstream secondary schools. Journal of Research in Special Educational Needs, 11(3), 153-161.

Symes, W., & Humphrey, N. (2011b). The deployment, training, and teacher relationships of teaching assistants supporting pupils with autistic spectrum disorders (ASD) in mainstream secondary schools. British Journal of Special Education, 38(2), 57-64.

Tek, S., Jaffery, G., Fein, D., & Naigles, L. R. (2008). Do children with autism spectrum disorders show a shape bias in word learning? Autism Research, 1(4), 208-222.

Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349-357.

Woolfson, L. M. (2011). Educational psychology: The impact of psychological research on education. New York: Pearson Higher Ed.

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