نوع مقاله : مقاله پژوهشی

نویسندگان

• مژگان قنات ¹
• زینب رشیدی ²
• فاطمه جعفرخانی ³

¹ کارشناس ارشد تکنولوژی آموزشی، دانشگاه علامه طباطبائی، تهران، ایران.

² دکتری تکنولوژی آموزشی، دانشگاه علامه طباطبائی، تهران، ایران.

³ دانشیار گروه تکنولوژی آموزشی و عضو هسته پژوهشی یادگیری سیار، دانشگاه علامه طباطبائی، تهران، ایران.

چکیده

یادگیری سیار به‌عنوان پارادایمی نوین در عرصه آموزش پتانسیل قابل‌توجهی در پشتیبانی از یادگیرندگان با نیازهای ویژه دارد به‌شرط آنکه طراحی اصولی در فرایند یادگیری و آموزش در آن اعمال گردد. ازاین‌رو پژوهش حاضر به‌منظور تعیین راهبردهای آموزشی مبتنی بر یادگیری سیار و ملاحظات طراحی مرتبط با آن‌ها برای دانش‌آموزان با نیازهای ویژه به‌مرور ادبیات در این حوزه پرداخت و از دستورالعمل‌ پریزما پیروی نمود. جستجوی مقالات در پایگاه‌های داده معتبر علمی شامل گوگل اسکالر، ساینس دایرکت و پروکوئست با ترکیب کلیدواژه‌های تخصصی در محدوده زمانی 2010 تا 2025 انجام شد و 144 مقاله استخراج گردید که پس از غربالگری 18 مقاله مرتبط مورد تحلیل قرار گرفت. یافته‌ها حاکی از آن است که پلتفرم‌ها و ابزارهای مبتنی بر فناوری‌های سیار به‌ویژه هوش مصنوعی با راهبردهای دسترسی و راحتی، تعامل و ارتباط، شخصی‌سازی و انطباق با نیازها و انگیزه‌دهی و تشویق نقش مؤثری در بهبود فرآیند آموزش این گروه از دانش آموزان ایفا کرده‌اند. اگرچه نتایج گویای ظرفیت بالای این فناوری‌ها در ایجاد محیط‌های آموزشی فراگیر است اما فقدان پژوهش‌های طولی و مقایسه‌ای برای سنجش دقیق اثربخشی آن‌ها به‌عنوان چالشی اساسی مطرح می‌باشد. همچنین ردپای طراحی آموزشی در بسیاری از مقالات دیده نشد.

کلیدواژه‌ها

• یادگیری سیار
• آموزش ویژه
• فناوری‌های آموزشی
• هوش مصنوعی
• شخصی‌سازی یادگیری

عنوان مقاله [English]

A Review of the Application of Mobile Learning for Students with Special Needs

نویسندگان [English]

• Mojghan Ghanat ¹
• Zeynab Rashidi ²
• Fatemeh Jafarkhani ³

¹ MA in Educational Technology, Allameh Tabataba’i University, Tehran, Iran.

² PhD in Educational Technology, Allameh Tabataba’i University, Tehran, Iran.

³ Associate Professor, Department of Educational Technology, Member of the Mobile Learning Research Core, Allameh Tabataba'i University, Tehran, Iran.

چکیده [English]

Abstract
Mobile learning, as an emerging paradigm in education, holds significant potential to support learners with special needs, provided that principled instructional design is integrated into the learning and teaching process. This study conducted a systematic literature review, following the PRISMA guidelines, to identify educational strategies based on mobile learning and their associated design considerations for students with special needs. A search was performed across reputable academic databases, including Google Scholar, ScienceDirect, and ProQuest, using specialized keyword combinations, covering publications from 2010 to 2025. From an initial pool of 144 articles, 18 relevant studies were selected for analysis after screening. The findings indicate that mobile technology platforms and tools, particularly those leveraging artificial intelligence, enhance the educational process for these students through strategies focused on accessibility and ease of use, interaction and communication, personalization and adaptation to individual needs, and motivation and encouragement. While these technologies demonstrate substantial potential for fostering inclusive educational environments, the lack of longitudinal and comparative studies to accurately assess their effectiveness remains a significant challenge. Additionally, the absence of explicit instructional design considerations was noted in many studies.
Keywords: Mobile Learning, Special Education, Educational Technologies, Artificial Intelligence, Personalized Learning.
 
 
 
Extended Abstract

Introduction

Mobile learning, as defined by UNESCO (2023), refers to educational practices facilitated through portable digital devices, such as smartphones and tablets, which enable personalized, context-sensitive, and flexible learning experiences. This pedagogical approach harnesses advanced digital technologies to deliver tailored educational content, offering significant potential for students with special needs who require customized support due to cognitive, neurodevelopmental, sensory, or motor impairments (World Health Organization, 2021). These impairments encompass a wide range of conditions, including visual and hearing impairments, intellectual disabilities, autism spectrum disorder, and motor challenges, all of which demand specialized educational strategies to address diverse learning needs (Amir & Ahmad, 2022).
In traditional educational systems, students with special needs encounter significant barriers, such as inaccessible physical environments, limited access to appropriate learning materials, and conventional teaching methods that often fail to accommodate their unique requirements (Morgan, 2015). For instance, visually impaired students struggle to engage with traditional visual resources, while those with hearing impairments face substantial challenges with auditory-based instruction, ultimately resulting in persistent educational disparities (Chelkowski et al., 2019).
Mobile learning mitigates these challenges by providing adaptive, technology-driven solutions that align with individual learner needs. Features such as continuous access to digital resources, interactive interfaces, and real-time connectivity with educators and peers significantly enhance the educational experience for these students (**Drigas & Kokkalia, 2016**). Additionally, modern mobile technologies incorporate intelligent systems that analyze learner behavior and provide personalized feedback, creating engaging and effective learning environments (**Fernández-López et al., 2013; Lozanova, 2022**). For example, applications embedded with adaptive algorithms can dynamically adjust content delivery based on a student’s progress, making learning more accessible and motivating for those with special educational needs (**Lozanova, 2022**).
Despite concerns regarding potential distractions associated with mobile devices, such as reduced learner focus (**Alam, 2023**), empirical evidence increasingly underscores the transformative potential of mobile learning in special education. This pedagogical approach not only addresses traditional barriers but also empowers students by fostering flexible, inclusive, and dynamic learning opportunities. Consequently, the present study explores the application of mobile learning for students with special needs, with a primary focus on identifying effective educational strategies and their associated design considerations to promote equity and accessibility within diverse educational settings.
Research Questions:
This study is guided by the following research questions:

What mobile learning strategies are currently employed to enhance the educational experiences of students with special needs?
What are the key design considerations for developing effective and inclusive mobile learning interventions for these students?
Literature Review

Extensive research highlights the transformative potential of mobile learning in supporting students with special needs across diverse impairment categories. Drigas and Kokkalia (2016) found that mobile technologies significantly enhance access to educational resources, fostering greater engagement and promoting equitable learning opportunities. For instance, mobile applications featuring interactive elements allow students to engage with content at their own pace, effectively mitigating barriers inherent in traditional classroom settings.
Similarly, Cumming and Draper Rodríguez (2017) reported that mobile applications specifically designed for students with cognitive disabilities improve self-regulation and motivation by offering structured, interactive learning experiences. Furthermore, Al-Rashaida et al. (2022) demonstrated that interactive mobile programs enhance social and communication skills among students with Autism Spectrum Disorder (ASD), showing measurable improvements in peer interactions. Regarding students with hearing impairments, Brezovszky et al. (2019) emphasized the critical role of multisensory feedback in mobile applications, which integrates visual and tactile cues to facilitate active participation.
However, implementing mobile learning effectively presents significant challenges. Butler et al. (2017) identified critical limitations, such as poorly designed user interfaces and the absence of standardized frameworks, which can severely hinder the accessibility and overall impact of mobile learning tools. Furthermore, Baghaei et al. (2016) noted that most existing studies focus primarily on short-term outcomes, highlighting an urgent need for longitudinal research to assess sustained educational impacts.
Tailoring mobile learning to specific needs remains a paramount consideration. For students with hearing impairments, Pachler et al. (2010) underscored the cost-effectiveness and motivational benefits of interactive visual resources, which leverage these learners’ strong visual processing abilities. In contrast, students with visual impairments encounter substantial challenges in accessing graphical content, necessitating customized interfaces equipped with audio or tactile feedback (Retorta & Cristovão, 2017). To address these barriers, Kamaghe et al. (2020) proposed the implementation of short-term training programs and cost-reduction strategies to enhance broader accessibility for these students.
For students with behavioral-emotional disorders, such as ADHD, multisensory and visualization-based strategies have been shown to significantly improve focus and social-emotional skills (Antonietti et al., 2021). Furthermore, mobile learning environments prove exceptionally effective for students with Autism Spectrum Disorder (ASD), as they align with constructivist principles that emphasize experiential and discovery-based learning (Korucu & Alkan, 2011). In the context of physical disabilities, mobile learning facilitates differentiated instruction and fosters essential communication skills, thereby promoting broader inclusivity (Karagianni & Drigas, 2023).
For students with intellectual disabilities, the implementation of user-friendly mobile tools, particularly when combined with parental support, enhances independence and peer interaction (Lancioni et al., 2017). Similarly, in addressing learning disabilities such as dyslexia, the use of tablets and interactive applications makes reading more engaging and measurably improves literacy skills (Thomas et al., 2019). Despite these advancements, challenges such as insufficient content adaptation and persistent technical limitations remain prevalent (Cumming & Draper Rodríguez, 2017).
To overcome these barriers, personalized frameworks, such as those proposed by Fernández-López et al. (2013), and gamified tools specifically designed for students with ADHD (Knight et al., 2016), demonstrate significant potential to enhance engagement and learning outcomes. Ultimately, addressing existing design and standardization gaps remains critical to maximizing the efficacy of mobile learning for students with special educational needs.

Methodology

This study employs a systematic literature review to examine mobile learning strategies and design considerations for students with special needs, adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to ensure methodological rigor and transparency (Page et al., 2021).
Search Strategy and Data Sources:
Articles were systematically sourced from prominent electronic databases, including Google Scholar, ScienceDirect, and ProQuest. The search strategy utilized a combination of keywords such as “Mobile Learning,” “Special Education,” “Assistive Technology,” and “Educational Approaches.” The search period was limited to 2010–2025 to capture the most recent technological and pedagogical advancements in the field.
Inclusion and Exclusion Criteria:
The review exclusively included English-language, peer-reviewed articles with full-text access to maintain analytical consistency. While this criterion ensures high-quality data, it acknowledges a potential limitation by excluding non-English perspectives (e.g., Persian-language studies). Future research may benefit from utilizing translation tools or fostering multilingual collaborations for broader inclusivity. Specifically, inclusion criteria targeted studies focusing on mobile learning strategies and design considerations for special needs education. Conversely, studies lacking full-text access, non-English publications, or general mobile learning research without a specific focus on special education were excluded.
Study Selection and Data Extraction:
The initial search retrieved 144 articles. Following the removal of duplicates and a rigorous screening of titles and abstracts, 89 articles were selected for comprehensive full-text review. Ultimately, 18 studies that strictly met all inclusion criteria were synthesized and analyzed for methodological rigor, clarity, and thematic alignment. Data extracted from these studies included author details, publication year, research methodology, sample characteristics, specific educational strategies, and key design considerations. These findings were subsequently organized into thematic tables to facilitate a robust qualitative analysis.

Results

The synthesized findings confirm the transformative impact of mobile learning on special education, demonstrating its capacity to mitigate traditional educational barriers through accessible, interactive, and technology-driven platforms.
Tailored Strategies for Diverse Needs:
Evidence indicates that the efficacy of mobile learning is highly dependent on disability-specific adaptations. Fernández-López et al. (2013) found that mobile applications featuring simplified interfaces and adjustable difficulty levels significantly optimize learning outcomes for students with intellectual disabilities. Similarly, Brezovszky et al. (2019) reported that gamified educational tools enhance both cognitive functions and motivational outcomes for students with ADHD. For learners with visual impairments, Esmaeili and Ebrahimi (2017) highlighted the critical role of advanced text-to-speech systems, while Song et al. (2011) emphasized the importance of integrating strategic audio cues.
Emerging Technologies and Interface Design:
Innovative technologies are further expanding accessibility. Chang and Lin (2024) demonstrated that Augmented Reality (AR) effectively mitigates reading challenges for students with dyslexia, a finding complemented by Rahim et al. (2018), who noted that the use of specialized, legible fonts significantly improves literacy. Regarding interface architecture, Declerck et al. (2015) underscored the necessity of hierarchical interfaces for students with intellectual disabilities to reduce cognitive load.
 
Behavioral and Physical Adaptations:
For students with Autism Spectrum Disorder (ASD), Brito and Pizzato (2016) identified that predictable game structures and consistent routines within mobile environments improve learning stability. Furthermore, for learners with ADHD, Paul et al. (2019) emphasized the necessity of adaptive content delivery to maintain engagement. Finally, addressing physical constraints, Parsazadeh and Cheng (2025) highlighted the integration of eye-tracking technologies as a groundbreaking intervention for students with motor impairments.
Thematic analysis of the selected studies identified three core design pillars: optimized user interfaces, personalized content, and dynamic feedback mechanisms. These strategies were further categorized into five functional domains: mobile applications, educational games, assistive technologies, augmented reality (AR), and advanced support tools. To provide a comprehensive overview, Table 1 summarizes these educational strategies and their associated design considerations across diverse impairment categories.
Table 1. Mobile Learning Strategies and Design Considerations for Students with Special Needs




Special Needs Group


Technology


Mobile Learning Benefits


AI Role


Design Considerations


Example Application


Source






Hearing Impairment


Mobile apps with captions, visual feedback


Easy access, text/image interaction, personalization, motivation


Speech-to-text, gesture recognition


Simple UI, clear fonts, no background noise


SignAloud


Dams et al. (2015)




Visual Impairment


Assistive tech (text-to-speech, wearables)


Audio navigation, personalized reading speed, motivational feedback


Object recognition, navigation optimization


Natural voice, large text, minimal visuals


Seeing AI


Kamaghe et al. (2020)




Autism Spectrum Disorder


Interactive games with AR


Social skills, personalized difficulty, motivation


Chatbots, behavior analysis


Predictable design, minimal distractions


Molehill Mountain


Brito & Pizzato (2016)




Motor Disabilities


Assistive tech (eye-tracking, virtual keyboards)


Eye-movement control, personalized UI, interactive tasks


Adaptive UI, predictive algorithms


Large virtual keyboards, vibration feedback


Tobii Dynavox


Parsazadeh & Cheng (2025)




Intellectual Disabilities


Simple-menu apps, puzzle activities


Short, engaging tasks, adjustable difficulty, motivational rewards


Smart repetition, error guidance


Fixed menus, large icons, clear language


Endless Alphabet


Guo et al. (2019)




Dyslexia


AR + AI


Real-world reading practice, personalized tasks, engaging 3D words


Error analysis, content generation


3D word display, gentle backgrounds


Amira Learning


Amado & Amars (2023)




ADHD


Gamified educational games


Short, challenging tasks, reward systems, adjustable stimulation


Dynamic challenge adjustment, distraction detection


Vibrant colors, immediate rewards


Focus Pocus


Baghaei et al. (2016)




General Special Needs


AI-supported individualized learning


Easy access, tailored content, teacher/parent interaction


Personalized programs, progress monitoring


Simple, accessible UI, collaborative design


CENTURY Tech


Effendi (2025)





Discussion

This study investigated mobile learning strategies and design considerations for students with special educational needs, specifically examining how these strategies are implemented and identifying their essential design requirements. The findings, synthesized in Table 1, underscore that mobile learning—powered by technologies such as specialized applications, educational games, assistive tools, Augmented Reality (AR), and advanced interactive systems—has fundamentally transformed the landscape of special education.
 Based on the thematic analysis, four overarching strategies emerged as critical for success:

Accessibility: Enhancing inclusivity by enabling flexible learning through mobile-optimized navigation and device-agnostic platforms.
Interaction: Fostering social and collaborative engagement, which is vital for students with communication-related impairments.
Personalization: Tailoring educational content to meet individual cognitive and physical needs, while incorporating cultural and linguistic considerations.
Motivation: Utilizing gamified rewards and engaging activities to sustain learner interest, while strictly ensuring data privacy and ethical standards (Alnahdi, 2020; Bouck et al., 2021).
Accessibility Strategies

Accessibility strategies significantly enhance student participation through device compatibility, flexible navigation, and rigorous adherence to international web accessibility standards. Alnahdi (2020) emphasized that compliance with global standards, such as robust screen reader support and optimized UI elements, is fundamental in reducing learning barriers for diverse learners. Furthermore, Hersh and Johnson (2022) noted that such inclusive strategies not only facilitate access but also boost learner autonomy and motivation by enabling independent engagement with educational content without constant external intervention.

Interaction and Collaboration Strategies

Interaction strategies, which prioritize social-emotional skills and multimodal engagement, are pivotal in supporting collaborative learning environments. Cook and Polgar (2022) found that adaptive interactions—including adjustable difficulty levels and multisensory content delivery—directly enhance both learner motivation and independence. These findings are complemented by Lancioni et al. (2016), who highlighted the transformative role of mobile tools in facilitating social interactions. By enabling seamless online communication with peers and educators, these tools foster inclusive learning experiences that transcend physical limitations, thereby promoting social integration alongside academic growth.

Personalization and AI-Driven Adaptation

Personalization strategies, increasingly leveraging AI-driven adaptive systems, align educational content with individual cognitive and physical abilities, thereby significantly enhancing learner engagement. As demonstrated by Fernández-López et al. (2013), personalized mobile applications markedly improve learning outcomes for students with intellectual disabilities by dynamically adjusting content delivery to match the user's pace and proficiency. This level of individualization ensures that mobile learning environments remain responsive to the unique challenges of special education, moving beyond "one-size-fits-all" approaches toward a more inclusive, learner-centric model.

Motivation and Psychological Empowerment

Motivation strategies, incorporating gamification and immediate feedback mechanisms, align with Self-Determination Theory (SDT) to foster competence and autonomy. Seiler and Homner (2020) reported that gamified elements—such as badges, progress bars, and leaderboards—significantly increase intrinsic motivation by providing a sense of achievement. Furthermore, Ryan and Deci (2021) emphasized that providing meaningful, real-time feedback satisfies fundamental psychological needs for competence and relatedness. By integrating these motivational frameworks, mobile learning tools not only support academic success but also empower students with special needs to become more self-regulated and independent learners.
The integration of diverse mobile technologies provides targeted solutions for various impairment categories. Mobile applications, particularly advanced text-to-speech (TTS) tools, significantly facilitate information access for visually impaired students (Esmaeili & Ebrahimi, 2017), while specialized time-management applications support students with ADHD in developing essential academic and self-regulatory skills (Paul et al., 2019). Furthermore, educational games have proven effective in enhancing cognitive focus for ADHD and social interaction skills for students with Autism Spectrum Disorder (ASD); as noted by Brezovszky et al. (2019) and Brito and Pizzato (2016), these gains are most pronounced when delivered through structured, engaging, and predictable formats.
Beyond standard applications, cutting-edge assistive technologies such as eye-tracking systems are breaking new ground by enabling independent learning for students with severe motor impairments (Parsazadeh & Cheng, 2025). Simultaneously, Augmented Reality (AR) has emerged as a transformative tool for improving reading comprehension among dyslexic students and fostering social-emotional skills in autistic learners, as evidenced by Chang and Lin (2024) and Al-Rashaida et al. (2022). Ultimately, the success of these interventions hinges on specific design considerations, such as simplified interfaces and immediate, clear feedback. Research by Declerck et al. (2015) and Rahim et al. (2018) underscores that without tailored, user-centric designs, the potential of these high-tech tools remains underutilized.

Conclusion

Despite the transformative potential of mobile learning, several challenges persist, including inconsistent design standards, negative teacher attitudes, and a lack of long-term studies (Butler et al., 2017; Baghaei et al., 2016). Socioeconomic barriers, such as unequal access to devices, further exacerbate educational disparities, particularly in developing regions (Levy et al., 2016; UNESCO, 2024). The limitations of this study include its reliance on existing data, the exclusion of non-English studies, and a limited exploration of socioeconomic factors. These gaps underscore the need for further research to ensure the equitable and effective implementation of mobile learning strategies.
Future research should prioritize longitudinal studies to assess the sustained impact of mobile learning on academic and social outcomes for students with special needs. Comparative analyses of strategies, such as mobile applications versus educational games, could further guide educators in selecting appropriate tools. Addressing digital equity, particularly in underserved regions, is critical, with initiatives like open-source platforms and device subsidies proposed to enhance access (Levy et al., 2016; UNESCO, 2024). Leveraging AI-driven platforms for data collection can facilitate long-term studies and improve personalization. Additionally, teacher training and collaboration with designers are essential to overcome resistance and enhance the efficacy of mobile learning. By addressing these gaps, mobile learning can create inclusive, effective educational environments that empower students with special needs to achieve their full potential.

کلیدواژه‌ها [English]

• Mobile Learning
• Special Education
• Educational Technologies
• Artificial Intelligence
• Personalized Learning