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Learn moreHow AI Can Change Education for the Better
Generative AI-based tools developed for educational purposes offer a significant advantage in terms of reducing teachers' workload, as noted by Dmitry Krutov and Konstantin Egoshin. These AI assistants are already capable of creating curricula, generating lesson content, checking homework, and analyzing student performance. With each update of neural networks, their functionality will improve, improving the quality of the educational process and freeing up teachers' time for more creative and individualized approaches to teaching. Thus, the use of AI in education not only optimizes work processes but also promotes more effective learning.
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AI assistants in education have mastered many functions that significantly improve the learning process. They help students find information, analyze materials, and prepare for exams. Thanks to machine learning algorithms, such assistants can adapt to individual student needs, offering personalized assignments and recommendations.
Furthermore, AI technologies can evaluate written assignments, providing feedback on errors and suggestions for improvement. This allows students to master the material more quickly and improve their knowledge. The use of AI in education also helps optimize the learning process for teachers, freeing them from routine tasks and allowing them to focus on more important aspects of teaching.
Thus, AI assistants are becoming an integral part of the educational environment, opening up new opportunities for students and teachers and improving the quality of education overall.
Dmitry Krutov reports that an experiment with an AI assistant for English teachers at Skillbox demonstrated a significant reduction in teachers' work time. By using neural networks, teachers can free up up to 20% of their time. This figure may increase with further technological advances.
The advantages of AI-generated content include not only its speed and low production cost, but also its high degree of interactivity. Konstantin Egoshin emphasizes that the use of AI significantly simplifies the implementation of multimodal pedagogy and immersive content. This allows for the creation of simulations and training tools in which students can develop essential skills in conditions as close to real-life as possible. This approach promotes deeper learning and increases the effectiveness of the educational process.
The use of technologies such as voice chatbots is beneficial not only in professional training in areas where access to real-world objects may be dangerous, but also in the development of soft skills. For example, Dmitry Krutov emphasizes that public speaking is becoming more accessible. A child or adult can practice and refine their arguments in a dialogue with a chatbot without fear of criticism. This creates a safe environment for learning and skill development, which can improve confidence and the quality of future presentations.
AI tools will free up teachers' time, improving lesson preparation, simplifying routine work on skill practice, and marking student work. This freed time can be used for individualized interactions with students, including empathetic communication, as well as practical and project-based learning. Experts are confident that these changes will make education more effective. Improvements won't just come from AI offering relevant learning content to each student, but from allowing educators to focus on direct dialogue with students. This personal interaction fosters a deeper understanding of each student's needs and enhances the quality of the educational process.
Personalization in education has been discussed for some time. Previously, advocates of digitalization of learning envisioned a future in which every student would have access to an omniscient AI tutor capable of supporting and guiding them through the learning process. Such ideas, for example, were expressed in Microsoft founder Bill Gates' blog. With the advancement of technology and the integration of artificial intelligence into the educational process, personalized learning is becoming increasingly feasible, allowing each student to acquire knowledge according to their individual needs and pace.
In recent years, views on the future of personalized education have been shifting. Siya Raj Purohit, Head of Education Initiatives at OpenAI, noted that truly personalized work with students at all levels of education—including motivation and guidance in choosing a life path—will only be performed by human teachers. Artificial intelligence, including chatbots, can only process the information provided by a human, while a real mentor can recognize potential in a student that they themselves may not yet be aware of. Dmitry Krutov echoed this idea during a discussion at the "Future with AI" conference, emphasizing that AI can be used to perform routine tasks, but real people are necessary for deep dialogue and understanding of human nature. Thus, the future of education will focus on the synergy of technology and human interaction, where the role of the teacher remains indispensable.
What will be required of teachers in an AI world
Dmitry Krutov believes that teachers should view artificial intelligence as a modern library. Unlike traditional libraries and the internet, neural networks provide more ready-made answers and useful tools. However, the responsibility for verifying the accuracy of the information received still rests with the individual. It is important to remember that only the teacher can determine the optimal paths for interaction and student engagement. The ability to notice changes in students in live communication, understand their goals, and guide them toward achievement is a key pedagogical skill that cannot be replaced.
Konstantin Egoshin noted that the ability to inspire and engage students will always be important for teachers. However, he also emphasized that in the traditional education system, especially in higher education, teachers often acted as "knowledge relays," providing theoretical material without active interaction with students. In the future, this role of the teacher will become irrelevant.
Dmitry Krutov emphasizes that teachers today face two key challenges, which, although distinct, are equally important. The first challenge is the need to constantly master neural network-based tools, which can be technically challenging. The second challenge requires increased attention to student engagement and dialogue, as well as the development of such qualities as empathy and mentoring skills. Konstantin Egoshin also notes that these challenges can be partially addressed through artificial intelligence, which, for example, can help create interesting and engaging assignments for students. This will allow teachers not only to make their work easier, but also to improve the quality of the educational process.
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An extensive list of neural network services for teachers and methodologists.
How to Avoid AI Plagiarism
A recent VTsIOM poll revealed that Russian society views the active use of artificial intelligence (AI) as having a negative impact on schoolchildren and students. Thirty-six percent of the 1,600 respondents noted that the use of AI could lead to a decrease in mental activity and the degradation of students. Furthermore, 27% of respondents believe that AI reduces motivation for learning and promotes laziness among students. These results highlight the importance of a conscious approach to integrating technology into the educational process to avoid negative consequences for young people.
At the conference, Dmitry Krutov and Konstantin Egoshin expressed the opinion that the risks associated with generative neural networks arise because the education system ignores their existence. Konstantin Egoshin emphasized that it seems as if artificial intelligence is available only to students, while it remains inaccessible to teachers. This highlights the need to integrate AI technologies into the educational process to ensure equal opportunities for all participants. Teachers, with their considerable experience and expertise, can use neural networks more diversely and effectively than schoolchildren and students. Konstantin argues that prohibiting the use of neural networks and treating it as plagiarism is inappropriate. Instead, tasks should be designed that encourage interaction with chatbots. For example, instead of simply writing an essay on "What is happiness," you could ask students to ask questions on this topic to both humans and neural networks, and then analyze the answers they receive. This approach not only develops critical thinking, but also teaches students to effectively use modern technologies in the educational process.
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Alternatives to traditional written student work can include a variety of formats that promote active learning and Critical thinking. For example, students can create multimedia projects, such as video presentations or podcasts, which allow them to demonstrate their knowledge in a more interactive way.
Another avenue is group work, where students collaborate on a topic and present their findings in a discussion or public defense format. This not only develops teamwork skills but also allows for a deeper understanding of the subject.
Project work that involves the practical application of theoretical knowledge can also be considered. This could be a research project, experiment, or case study, which helps students see the real-world application of the concepts they are learning.
Thus, the transition to alternative learning formats not only diversifies the educational process but also promotes deeper learning.
Dmitry Krutov supported the approach by which researchers in artificial intelligence in education, such as UNESCO experts, describe the interaction between students and AI as co-creation. The main idea is that assignments should not only involve the use of tools based on generative neural networks but also involve analyzing the performance of prompts. Students should explore how answers are formed, what works, and what constitutes an unsuccessful outcome. It is important for students to reveal their reasoning process and explore the sources from which neural networks draw information for their answers. This approach promotes a deep understanding of artificial intelligence and develops critical thinking in students.
When AI Will Become a Part of Everyday Work
Experts emphasize the importance of mastering neural networks for teachers in light of the rapid development of artificial intelligence technologies. Konstantin Egoshin predicts that by 2027, generative neural networks will become accessible to a wide range of users, as their use does not require programming skills. However, he notes that the current rate of AI adoption is significantly lower than expected: outside the IT community, only about 5% of people actively use AI in their professional activities. Based on this, the time when AI skills will become as common as basic digital skills is expected to shift to 2030. This highlights the need to prepare educators for the new challenges and transformations associated with the introduction of artificial intelligence into the educational process.
Dmitry Krutov notes that the widespread adoption of artificial intelligence is hampered by the persistent belief that its development should be handled exclusively by IT specialists, such as computer science teachers. This creates a barrier for many without specialized IT training. In fact, generative neural networks can significantly simplify the integration of technological solutions and automate routine processes, making them accessible to people without a technical background. This opens up new opportunities for various professionals and facilitates the wider adoption of AI in everyday life.
Dmitry Krutov emphasizes that when regulating the use of artificial intelligence in education, it is necessary to consider the views of educational institutions themselves, in particular their leaders. Although industry regulators will ultimately offer their recommendations, it is important that AI policy be developed locally. In this regard, the opinions of teachers, methodologists, and other specialists working directly with schoolchildren and students should be primarily taken into account. Integrating the opinions of these professionals will create more effective and tailored solutions for the educational process, which in turn will improve the quality of learning and student satisfaction.
