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How Artificial Intelligence is impacting education and what works now

AI development

Education is one of the key areas where artificial intelligence (AI) shows significant potential for transformation. AI systems can personalize learning, automate administrative tasks, and offer new ways to assess knowledge. In this article, we’ll explore how AI is transforming education, what’s working now, and what prospects lie ahead in the future.

Maxim Belyakov
founder of Sailet and author of the article

AI in education: what is already working

  • Examples: Platforms like DreamBox and Smart Sparrow utilize AI to adapt educational materials in real-time, tailoring them to each student's abilities and progress. Khan Academy uses AI algorithms to provide personalized recommendations to students.
  • How it works: DreamBox analyzes data on students’ task performance and adjusts the difficulty level of the materials to match their current knowledge. Smart Sparrow enables teachers to create courses that automatically adapt to students' progress, providing individualized assignments and learning resources.
  • Statistics: Studies indicate that adaptive learning can improve student achievement by 20% or more. According to McKinsey, the use of adaptive technologies can increase productivity by 30–50%.
1. Adaptive learning
  • Examples: Universities like Arizona State University employ AI to automate tasks such as scheduling and managing student data. Another example includes the use of chatbots to answer questions from students and parents.
  • How it works: AI systems analyze class schedules, student numbers, and faculty availability to generate optimal timetables. Chatbots, such as those used at ASU, respond to student and parent queries, providing information on courses, exams, and other administrative tasks.
  • Statistics: According to McKinsey, automation of administrative processes can reduce management costs by up to 30% while increasing task accuracy to 90%.
2. Automation of administrative tasks
  • Examples: Coursera and edX leverage AI to create personalized courses and recommendations, enabling students to receive the most relevant content. Some schools implement systems that analyze student data and propose customized learning programs.
  • How it works: AI analyzes data on students' academic performance, interests, and preferences to suggest courses and materials that best suit their needs. This includes recommendations for learning materials, assignments, and additional courses that can enhance students' skills.
  • Statistics: According to research by IBM, incorporating AI into educational platforms can increase student engagement by 25% and improve learning outcomes by 30%.
3. Personalized study plans

An example from Sailet practice

In one of our projects, we are integrating AI into an educational platform aimed at enhancing the learning process.

Objective: Develop a system to individualize the learning process, helping students improve their test scores and overall academic performance.

Implementation:
  • Diagnosis and Adaptation: AI diagnoses students' current knowledge levels, identifying their strengths and weaknesses.
  • Personalization of Learning Plan: Individualized learning plans are created based on the diagnosis, including recommendations for improvement.
  • Progress Monitoring: The system tracks students' progress in real-time, adjusting tasks and materials according to their successes and challenges.

Divine Integration

Interested in integrating AI into your school, university, educational institution, or perhaps your enterprise? Get in touch with us, and we'll help you design and implement effective solutions. We have solid experience in education!)

Problems and challenges

1. Using AI requires processing large amounts of student data, raising concerns about privacy and security. According to an IBM study, 73% of educational institutions believe that data privacy issues are a serious challenge when implementing AI.

Advice from Sailet: Ensure the use of data encryption and limit access to confidential information to authorized users only. Develop a clear privacy policy explaining how student data will be utilized.

2. Creating and implementing AI systems requires significant financial investments. Schools have approached us several times requesting AI-based proctoring services, hoping to achieve this with a fixed budget. However, the problem lies in the fact that the outcome depends on numerous factors, making it somewhat experimental. Factors such as video stream quality, lighting conditions, variations in clothing, and hundreds of other parameters influence the final result.

Advice from Sailet: Explore opportunities for government funding and private grants. Do not try to tackle everything at once. Start small. Address one minor issue first. Then expand requests and features gradually. For instance, initially determine whether the student is present at their desk. Next, check if they are not turning away from the computer. Afterward, verify if they aren't using a phone within the visible area, etc.

3. There is a fear that AI could replace teachers. According to a World Economic Forum survey, 65% of teachers are concerned that AI might lead to job losses. Of course, AI is intended to support teachers, not replace them.

Advice from Sailet: Integrate AI as a tool to automate routine tasks such as grading homework and preparing teaching materials. This will allow teachers to focus on individual student interactions and develop innovative teaching methods.

Future AI in education

1. AI will increasingly understand the needs of each student and offer educational materials that closely align with their interests and knowledge level. Systems capable of adapting lesson plans in real-time based on students' progress and interests.

Advice from Sailet: Implement adaptive learning systems that analyze student progress data and provide personalized assignments and materials.

2. Utilizing AI to create more interactive and engaging educational platforms. For example, virtual laboratories where students can conduct experiments in a safe environment.

Advice from Sailet: Consider using virtual and augmented reality to create interactive learning materials and simulations. This can make learning more enjoyable and effective.

3. Improving the efficiency of educational process management through full automation of administrative tasks. Complete automated management of schedules and resources in educational institutions.

Advice from Sailet: Deploy educational institution management systems that automate administrative tasks such as student registration, schedule planning, and financial management.

Conclusion

Artificial intelligence is already having a significant impact on the education sector, offering new opportunities to enhance the learning process and manage educational institutions. It is crucial for entrepreneurs and educational establishments to actively explore and adopt these technologies to stay at the forefront of educational innovation.

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If you'd like to learn more about how AI can transform your educational institution, feel free to reach out to us. And if you're interested in staying updated on topics like automation, development, digital transformation, AI, and many other exciting subjects, just subscribe!

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