PERSONALIZED TEACHING AND AUTOMATION OF EDUCATIONAL MATERIALS USING AI IN THE INCLUSIVE EDUCATION SYSTEM

ABSTRACT

This article analyzes the possibilities of personalized learning and the automation of educational materials through the use of artificial intelligence (AI) technologies in inclusive education systems. The study explores personalized learning approaches, the development of AI-based learning content tailored to students' individual needs, and the impact of these processes on the quality of education. A literature-based methodological approach was employed to identify the effectiveness, advantages, and potential limitations of AI technologies. The findings indicate that, in inclusive classrooms, AI enables a simplified learning process and reduces teachers’ workload by facilitating individualized instruction. Skillful integration of AI tools by educators during lessons is considered a key factor in creating a high-quality and equitable educational environment within inclusive education.

АННОТАЦИЯ

В данной статье рассмотрены возможности персонализированного обучения и автоматизации учебных материалов с использованием технологий искусственного интеллекта (ИИ) в системе инклюзивного образования. В ходе исследования были изучены подходы к персонализированному обучению, разработка учебных материалов с учётом индивидуальных потребностей учащихся на основе ИИ-алгоритмов, а также влияние данного процесса на качество образования. Методологический подход, основанный на анализе литературы, позволил выявить эффективность, преимущества и возможные ограничения применения ИИ-технологий. В частности, установлено, что использование ИИ в инклюзивных группах облегчает образовательный процесс и снижает нагрузку на преподавателей, обеспечивая индивидуальный подход к каждому учащемуся. Умелое использование ИИ-средств преподавателями в учебном процессе рассматривается как важный фактор создания качественной и равноправной образовательной среды в условиях инклюзии.

Keywords: inclusive education, personalized learning, artificial intelligence (AI), automation of educational materials, educational technologies, digital learning, individualized approach, educational innovation, AI algorithms.

Ключевые слова: инклюзивное образование, персонализированное обучение, искусственный интеллект (ИИ), автоматизация учебных материалов, образовательные технологии, цифровое обучение, индивидуальный подход, инновации в образовании, алгоритмы ИИ.

Introduction. Approaches to maximize human potential in the educational system and accounting for each student's unique needs and abilities have proliferated in recent years. Specifically, inclusive education—that is, teaching all students together in general education classrooms, including those with physical or mental developmental disabilities—is acknowledged as a crucial element of contemporary educational policy. This strategy works to avoid discrimination in education, foster social integration, and establish equitable chances.

However, there are several obstacles in the way of effectively managing and putting into reality an inclusive education system. The inability of educators to deliver individualized instruction that equally addresses each student's needs is one of the primary problems. Every student needs a different strategy because they differ in their knowledge level, skills, readiness to learn, and health. Such intricacies cannot be adequately addressed by conventional teaching instruments and approaches.

From this perspective, the integration of artificial intelligence (AI) technologies into the educational process has become particularly relevant. With AI, it is possible to automatically analyze students' activities, knowledge levels, learning speed, and other indicators, and based on this, develop personalized learning paths. The ability to automate educational content, i.e., to create content tailored to each student, significantly improves the quality of education.

Today, AI-based educational platforms — such as Khan Academy, Google* Classroom, Squirrel AI, and other systems — are already providing individualized learning pathways. Through these platforms, teachers can identify the challenges faced by each student and apply appropriate teaching methods. Additionally, AI-generated content can be adapted to students’ capabilities, such as hearing, vision, and mobility, fully adhering to the principles of inclusivity.

Therefore, this article deeply analyzes the possibilities of personalized teaching using AI technologies in the inclusive education system, the mechanisms of automating educational materials, and their impact on real educational practices. It also discusses the pedagogical and social aspects of AI approaches, as well as the practical challenges of implementing them. The goal of the article is to identify ways to fully realize the right to education for every student by applying modern technologies in inclusive education.

Methodology. The methodological foundation of this research is based on the analysis of scientific sources and practical experiences related to inclusive education, artificial intelligence (AI) technologies, and personalized teaching in recent years. The research methodology is grounded in a literature review, which involved studying and synthesizing the results of previous scientific developments, experiments, and platforms.

The concept of personalized teaching refers to education tailored to students' unique needs, knowledge levels, learning speeds, and interests. In their study, Dabbagh and Fakih discuss the role of AI technologies in personalized education. They demonstrate that with AI, it is possible to monitor students in real-time, analyze their knowledge levels, and provide customized assignments based on a differentiated approach. [1] Furthermore, Heffernan and several partners' “ASSISTments” system demonstrates how customized assignments can enhance students' learning outcomes. [2]

The process of creating, modifying, and distributing content using artificial intelligence is known as automating instructional materials. These technologies can be used to produce interactive graphic materials, audio-video content, assessments, and educational tasks. Zhou and Li's work examines the function of AI-powered learning platforms in content creation. They assert that texts can be made simpler, adjusted to class levels, and tailored to each learner's unique learning path using AI algorithms. [3]

Content generation technologies based on AI, particularly large language models (LLMs) such as ChatGPT and GPT-4, have been identified as capable of providing quick and personalized responses to students' questions, identifying problem areas, and updating content based on these insights. This not only simplifies approaches in education but also significantly reduces teachers' workload.

Personalization in inclusive education is even more crucial because this direction requires organizing an educational system that takes into account various student limitations. In such conditions, AI technologies play a vital role as an assistive tool. For example, AI-based assistive systems such as text-to-speech (TTS) and speech-to-text (STT) technologies are highly significant for students with dyslexia, ADHD, and hearing or vision impairments. [4]

A recent AI study by Special Olympics highlighted the positive impact of AI models specially developed for students with intellectual disabilities on their learning. These AI tools simplified teaching in cases where students had speech issues, using visual interfaces. [5]

The literature review indicates that personalized education and automated materials through AI:

• Help account for individual differences in education;
• Provide education tailored to each student's needs in an inclusive environment;
• Reduce teachers' methodological workload and save time;
• Increase students' motivation and learning effectiveness.

Furthermore, the literature emphasizes the need for continuous improvement of AI technologies, reliance on quality data sources, and integration with pedagogical approaches for optimal effectiveness.

Results. This study investigated the potential of AI-based inclusive education environments, including tailored instruction and automated learning resources. Several important conclusions are drawn from the literature analysis, current technology studies, prior research findings, and real-world platforms.

1. Personalized education's effectiveness

According to the research findings, students' learning outcomes are considerably improved by individualized teaching systems. Customized assignments, course materials, and examinations can be created by using AI algorithms to determine students' knowledge levels, learning styles, and trouble areas. For example, experiments conducted through platforms like Khan Academy and Squirrel AI reported that 63% of students improved their knowledge level using personalized materials. [5]

AI-based technologies keep an eye on every student's progress in real time and automatically modify the lesson plan in response to an analysis of their successes and challenges. This makes it possible to provide each student with personalized attention in a welcoming setting.

2. Teachers' Gains from Automation

For educators, automating instructional materials is a very practical tool. According to studies, teachers can use AI to automatically generate reports, examinations, and assessments as well as to graphically monitor students' progress. As a result, teachers have less methodical work to complete and more time to engage with each student individually.

Through AI-generated recommendations, guidance, and differentiated lesson plans, AI technologies assist teachers in selecting the best teaching strategies for each student, particularly in inclusive classes with a range of needs. The impact of AI technologies on various aspects of inclusive education is summarized as follows (see Table 1).

Table 1.

AI Tools and Technologies Used in Inclusive Education

3. Student Convenience and Motivation

AI-powered customization of learning resources boosts student motivation while also making learning easier. According to research, students who use AI platforms are more motivated and engaged since they can monitor their development in real time.

For students with dyslexia, visual impairments, or hearing impairments, AI-based interfaces, visual materials, text-to-speech (TTS), and speech-to-text (STT) technologies are very helpful, promoting inclusivity and equity in education. [6] These technologies guarantee that students feel equally valued in the classroom by taking individual needs into consideration. The following table presents AI-based tools and their primary functions (Table 2).

Table 2.

 Benefits of AI in Inclusive Education

4. Various Classroom Teaching Experiences

Differentiated instruction is crucial in classes with students of diverse needs and skill levels. Based on the experiences examined, AI enables the automatic production of instructional materials at several levels at the same time. For instance, an advanced student might be given more difficult analytical assignments, whereas a student who reads more slowly might be given simplified literature. This lessens inequalities in the classroom.

In inclusive classrooms, AI facilitates the automatic generation of instructional materials tailored to varying proficiency levels. For instance:​

• A student excelling in mathematics might receive complex problem-solving tasks involving real-world applications like budgeting or statistical analysis.
• Conversely, a student requiring additional support could engage with visual-based math exercises that reinforce foundational concepts.​

This differentiation ensures that each student's unique learning needs are addressed effectively.

5. Risks and Restrictions of AI Technologies

The limitations and hazards of AI technologies were also discovered by the investigation. Algorithmic bias, erroneous findings derived from faulty data, and the deterioration of instructor monitoring are the primary problems. Additionally, pupils' development of social and emotional skills may be hampered by an over-reliance on technology. [7]

While AI offers personalized learning pathways, it is not without challenges. For example, an AI system might misinterpret a student's temporary disengagement as a lack of comprehension, leading to inappropriate content adjustments. Such instances underscore the importance of continuous human oversight to validate AI-driven decisions and maintain the integrity of the learning process.

However, by combining AI with instructional strategies, these problems can be lessened. The teacher-student relationship cannot be replaced by AI, but it can be made more successful. In addition, the main risks and limitations associated with the use of AI technologies have also been identified (see Table 3).

Table 3.

 Risks and Mitigation Strategies of AI in Education

Discussion. The rapid development of AI technologies is undoubtedly leading to fundamental changes in the education sector. Particularly in the context of inclusive education, organizing the teaching process based on the unique needs of each student is of crucial importance. The results of this research show that AI-based personalized teaching systems not only improve students' academic performance but also enhance their motivation, self-esteem, and social integration. [8]

Firstly, AI technologies are proving to be essential tools in creating individual learning paths. The ability to tailor learning materials based on each student's knowledge level, pace, interests, and challenges brings about qualitative changes in pedagogical approaches. This is especially important in inclusive groups, where students' needs can vary significantly. Personalized teaching strategies enable all students to effectively engage with the learning process.

On the other hand, AI technologies are greatly easing the burden on teachers. By automating lesson planning, monitoring student progress, and using automated assessment systems, teachers can reduce their methodological workload and focus more on improving the quality of lessons and interacting directly with students. Additionally, AI-based recommendation algorithms help teachers make quick, informed pedagogical decisions.

However, when applying AI technologies in inclusive education, several precautions must be considered. Firstly, no AI system is flawless. Developing and operating these systems requires high-quality data, properly tuned algorithms, and constant evaluation to prevent errors or bias. For instance, there is a risk that a student's behavior may lead to incorrect conclusions, potentially leading to misdirection in their learning process. [9]

Furthermore, excessive use of AI may negatively affect teacher-student relationships. Education is not only about imparting knowledge but also involves emotional, social, and developmental aspects. AI cannot fully replace human interaction; it can, however, strengthen it. Thus, AI should be viewed as an assistive tool, with the primary focus remaining on human connection and trust between teacher and student.

The results of the research show that the integration of AI technologies in inclusive education will steer the entire educational system in a new direction. However, the successful implementation of AI in education requires several conditions: first, improving teachers' digital literacy and proficiency in AI; second, ensuring a robust technological infrastructure; and third, ensuring that AI tools align with ethical and social standards.

Developing personalized education through AI is not only a technological challenge but also an issue that encompasses pedagogical, social, and ethical considerations. While AI holds the potential to revolutionize education, its effective use requires alignment with pedagogical goals.

Conclusion. This research has highlighted the relevance, advantages, and practical effectiveness of using AI technologies to automate educational materials and implement personalized teaching in inclusive education systems. The findings suggest that AI technologies not only simplify the teaching process but also enable the organization of education that is tailored to each student's needs and individual development. By analyzing students' knowledge levels, providing customized content, and creating personalized learning paths, AI reduces the teachers' workload and improves the quality of education.

AI provides practical ways to assist students in a shared educational environment while taking into account their varied needs. AI increases accessibility to the learning process by providing automatically modified assignments and individualized learning materials.

But in order to employ AI effectively, educators need to be digitally literate and skilled in its intended application. Although technology can be an effective tool to improve communication between teachers and students, it will never be able to completely replace human interaction.

All things considered, incorporating AI technologies into inclusive education is essential to providing everyone with a specialized, excellent education. Future studies will concentrate on improving AI systems and completely incorporating them into teaching methods.

*По запросу Роскомнадзора сообщаем, что иностранное лицо, владеющее информационными ресурсами Google, является нарушителем законодательства Российской Федерации — прим. ред.

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