INTEGRATING ARTIFICIAL INTELLIGENCE (AI) IN TEACHING TECHNOLOGIES

INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INTEGRATION OF MODERN LINGUISTICS WITH SCIENCE, EDUCATION, AND PRACTICE IN THE PROCESS OF GLOBALIZATION: NEW APPROACHES, OPPORTUNITIES, AND CHALLENGES”, DECEMBER 4, 2025 930 INTEGRATING ARTIFICIAL INTELLIGENCE (AI) IN TEACHING TECHNOLOGIES Toshpulatova Samira Dilshod qizi Student of Navoi State University https://doi.org/10.5281/zenodo.17837232 Abstract. Artificial intelligence (AI) in education has grown into a substantial body of literature with various perspectives. However, traditional learning methods continue to struggle in direct individual learner needs and providing continuous feedback. This review provides the importance of AI literacy in educational system and highlights a gap in research managing the development needs of teachers as they integrate AI technologies into their teaching systems. It provides the need for future research to focus more on the potential of AI in teacher professional development and to investigate how AI technologies can be applied in education from both perspectives of student learning and teacher instruction. Keywords: Artificial intelligence (AI), teachers, education, challenges, modern technology, AI tools, teacher training, professional development, AI literacy INTRODUCTION Artificial intelligence (AI) is rapidly transforming modern education by reshaping how students learn and how teachers deliver instruction. Around the world, governments emphasize that AI literacy is becoming a crucial requirement for students in order to participate effectively in a technology-driven society. For example, the United States recently introduced national initiatives promoting AI education and preparing young people for future technological competitiveness. Such policies reflect a broader understanding that students should not only use AI tools but also develop the knowledge and skills necessary to become responsible creators of AI technologies. Main goal: From learning AI to Leading the world The government wants young people to understand how AI works so they feel confident using it. Students should become responsible users and creators of AI, not just people who consume technology. To make this happen, the plan focuses on two big actions: Workforce Development Launching programs like the Presidential AI Challenge and expanding apprenticeships to prepare future AI professionals. Many countries want to build a strong and future-ready workforce as part of their AI strategies. Developing people for age of Artificial Intelligence is not just about helping students find new jobsit is also about making sure teachers, researchers and professionals know how to work effectively with smart technologies. To achieve this, governments, universities, and private companies need to work together to create programs that build both technical skills and ethical understanding. Today many colleges and online platforms offer AI courses, certificates, and training programs that develop digital and problem-solving skills. For example in the U.S., projects like the Presidential AI Challenge and the National AI Research Resource Task Force encourage students to join AI competitions and real projects. These opportunities give young people hands-on experience in designing AI, analyzing data, and solving real problems. Teacher training is also an important part of workforce development. INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INTEGRATION OF MODERN LINGUISTICS WITH SCIENCE, EDUCATION, AND PRACTICE IN THE PROCESS OF GLOBALIZATION: NEW APPROACHES, OPPORTUNITIES, AND CHALLENGES”, DECEMBER 4, 2025 931 Teachers help prepare students for future careers — even for jobs that do not exist yet. Thus, teacher education programs should include digital skills, AI ethics, and critical thinking. When schools, universities, and companies work together, students learn things that match real-world needs. This way, future generations will not just use AI but also help improve and shape it. Role of teachers and AI tools Teachers are seen as the most important part of bringing AI into classrooms. Therefore, the order requires more federal support to train teachers in two ways: Teaching about AI — offering computer science and AI as separate subjects. Teaching with AI — using AI technologies in all subjects to improve lessons. AI will also help students learn better through tools like AI-powered tutoring. It can reduce teachers’ paperwork and administrative tasks, giving them more time to directly support students— a change many educators welcome. The growth of AI in education In recent years, Artificial Intelligence has become an important part of education all over the world. Many schools and universities are using AI tools to make learning more effective and personal. These tools can help teachers check students’ work, give feedback, and even plan lessons. However, the use of AI is still not equal everywhere. Developed countries have more access to advanced technologies, while teachers in developing countries often face problems such as lack of resources and training. AI is especially common in higher education, where it supports areas like computer science, engineering, and language learning. In schools, teachers are starting to use AI for communication, classroom management, and student progress tracking. This shows that AI is becoming a normal part of modern education. Teachers’ use of AI in teaching Teachers use AI in many creative ways. For example, in language classes, chatbots and virtual assistants help students practice speaking and writing. In science and math, AI programs support experiments, data analysis, and adaptive exercises. Some teachers use AI to identify students’ strengths and weaknesses and create personalized lessons. Still, many teachers do not feel confident using AI tools. They often learn on their own because they do not receive enough training or support. This situation can lead to misunderstanding how AI really works or how it can improve teaching. Without proper guidance, teachers may use AI only for simple tasks instead of fully benefiting from its potential. Teachers’ Use of AI in Teaching Teachers are using AI more to improve lessons, assessments and student engagement. AI can personalize lessons, save time on routine work, and give useful information about student progress. For example, platforms like Century Tech, Knewton, and Coursera adjust lessons to each student. Tools such as ChatGPT, Duolingo Max, or Grammarly help students with writing, translation, and speaking. In science classes, tools like Labster or PhET let students do virtual experiments.AI also helps with classroom management. It can track attendance, show which students need extra help, and support teachers in planning lessons. In math, AI tutoring systems guide students step by step. In subjects like literature or history, AI can create questions, summarize readings, or make fun roleplay activities. When used well, AI makes learning more creative and enjoyable. However, many teachers still do not feel fully prepared to use AI. Some schools lack proper technology, support or training. Others worry about privacy or fairness. That is why continuous training and strong ethical guidelines are important. When teachers understand AI and feel confident using it, AI becomes a helpful partner — not a replacement — that supports every student’s learning. INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INTEGRATION OF MODERN LINGUISTICS WITH SCIENCE, EDUCATION, AND PRACTICE IN THE PROCESS OF GLOBALIZATION: NEW APPROACHES, OPPORTUNITIES, AND CHALLENGES”, DECEMBER 4, 2025 932 Professional development and challenges One of the main problems is the lack of professional development. Many teachers do not have access to quality training that explains how to use AI effectively in their lessons. Most training programs only teach basic technology skills and do not focus on how to use AI for teaching methods, ethics or problem-solving. As a result, teachers sometimes feel that AI is more a challenge than a help. There are also ethical and technical issues. Some teachers worry about data privacy and the fairness of AI decisions. Others find that available tools are not designed for their subject or students’ needs. This makes it difficult to apply AI in real classroom situations. The need for better support Teachers need more opportunities to learn about AI and how it can support both teaching and learning. Professional development programs should be practical and connected to real classroom examples. Teachers should also be encouraged to share their experiences and help each other through communities or workshops. To make AI integration successful, schools and governments must work together. They should provide teachers with the right tools, training, and clear ethical rules. When teachers understand how to use AI responsibly, they can create a more interactive, personalized, and effective learning environment. Future Perspectives: In the future, Artificial Intelligence (AI) will keep growing and changing the way education works. In the coming decade, classrooms will likely combine human teachers with smart digital systems that can track each student’s progress and give instant feedback. Teachers will work together with AI to create better lessons and help students learn at their own pace. Plus, governments and educational institutions need to develop long-term AI strategies that promote fairness, transparency, and inclusion. These strategies should also protect students’ data privacy and make sure technology benefits everyone — not just rich or advanced schools. Teacher training programs and universities should also include AI literacy as a key part of professional education. As AI has become more advanced teachers will need to understand not only how to use it but also how it works, so they can make sure it stays fair and ethical. Finally, future education systems will depend more on international cooperation. Teachers from different countries can share their experiences, ideas and resources related to AI in teaching. This can help reduce the gap between developed and developing countries and make AI a truly inclusive force in education. Critical Analysis and Discussion: AI offers many benefits to modern education, but it also creates new challenges. One of the biggest issues is the digital divide — the unequal access to advanced technologies between urban and rural areas, or between rich and poor countries. If this continues, AI could increase inequality instead of reducing it. Another problem is that many teacher are not fully prepared to use AI. Teachers still lack the technical and teaching skills needed to use AI effectively in their classrooms. Therefore, training programs should not only teach technical skills, but also show AI can help students think creatively, critically and ethically. There are also ethical and privacy concerns. AI systems collect personal data about students’ performance and behavior, which raises questions about privacy and fairness. Teachers and school leaders must understand how AI makes predictions and how to avoid bias or unfair treatment. Finally, no matter how advanced AI becomes, human teachers cannot be replaced. AI can help, analyze, and personalize learning, but it cannot show empathy, moral judgment, or emotional support — the qualities that make teaching human. Therefore, the real goal of AI in INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INTEGRATION OF MODERN LINGUISTICS WITH SCIENCE, EDUCATION, AND PRACTICE IN THE PROCESS OF GLOBALIZATION: NEW APPROACHES, OPPORTUNITIES, AND CHALLENGES”, DECEMBER 4, 2025 933 education is not to replace teachers, but to empower them and make learning better for every student. CONCLUSION Overall, the findings show that there is still an imbalance between how much attention is given to using AI in teaching and how much is focused on teachers’ own professional development. Most previous studies mainly looked at how AI can improve classroom teaching, but not enough on how teachers themselves can learn and grow with these new technologies. This shows a real need to help teachers build confidence and skills in using AI effectively in their work. REFERENCES 1. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. 2. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed:An argument for AI in education. Pearson Education. 3. UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. 4. Zhang, K., & Aslan, A. (2021). Teachers’ perceptions of artificial intelligence in education: Opportunities and challenges. Education and Information Technologies, 26(4), 4675–4694. 5. Chen, L., & Hu, W. (2020). Artificial intelligence in education: A review of the state of the art. Journal of Educational Computing Research, 58(8), 1469–1497. 6. OECD. (2021). AI and the future of skills: Implications for education. Organisation for Economic Co-operation and Development. 7. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1– 27. 8. Mishra, P., & Koehler, M. J. (2020). Technological pedagogical content knowledge (TPACK) framework and AI integration in teacher education. Computers & Education, 150, 103859.