Artificial Intelligence (AI) is a topic of discussion everywhere. Its potential is being integrated and utilized across many fields of activity. The educational process is one of the sectors where AI is applied.
This article examines the advantages artificial intelligence brings to education and the opportunities it offers. We will also look at potential risks and challenges, as well as practical steps for successful implementation in this sector.
Impact on Education
The use of artificial intelligence technologies is a major trend in education. Preliminary estimates suggest that by the end of the decade, the AI market volume will increase by a third. Educators predict revolutionary changes in the educational process and tutoring. However, both they and experts have difficulty in precisely assessing the impact of technology on the field. They say the result can be both positive and negative. A balance is needed to leverage all the advantages and make the process more personalized, while also preserving the human element and the spirit of mentorship.
AI Applications in Education
Artificial intelligence offers new digital capabilities for education. One trend has been adaptive learning: data analysis identifies a student’s weak points, after which the system provides additional materials for independent work or discussion with a teacher.
Experts identify the main areas of AI use:
- Teaching ‘soft skills’: This ability of artificial intelligence is used in higher education or scientific activities. Preliminary diagnostics of students/graduate students allow for the formation of workgroups based on personality traits and skills required for a specific task.
- Automating the grading of assignments and other processes. For now, AI is applied only to tasks with simple algorithms: understanding rules, choosing from several options. Open-ended questions (essays) are not yet within the machine’s grasp, but — just for now.
- Analytics. Predictive analytics is used to monitor performance. Analytics of educational materials helps to quickly identify materials and topics that are poorly understood or simply poorly compiled.
- Personalized learning. Data analysis reveals the individual needs of each student and suggests a personal plan and teaching methods.
- Gamified learning process. AI technology is capable of creating educational games that require critical thinking and problem-solving. Interactive scenarios give students the opportunity to apply their knowledge in practice and participate in real-life cases.
Examples of Use
- The A.S. Pushkin Institute of Russian Language actively uses technology: lesson plans are compiled based on forecasts of the average time students will need to complete assignments. The use of artificial intelligence in education allows for the visualization of outlines, making reports clearer. Neural networks that generate images are indispensable for preparing presentations. Text networks assist in data analysis, finding patterns, and drafting work plans.
- Sber’s Artificial Intelligence Laboratory offers to use neural networks for composing outlines. One model transcribes audio recordings and another extracts keywords. Useful for both students and methodologists.
- Thus, AI is useful in cases where the process can be algorithmized, and other repetitive tasks. Here, digital technologies are just as capable as humans.
Pros and Cons
Despite all the benefits for the educational process, the potential downsides of artificial intelligence should not be forgotten. From the pros, educators highlight:
- Efficiency of feedback and increased evaluation accuracy;
- Individualized learning approach, personal tutor systems;
- 24/7 availability for students, setting personal work pace;
- Personal involvement of students, increasing motivation and engagement.
The main issue with the digital approach is confidentiality. Data security becomes a forefront concern. The operation of AI algorithms relies on processing a large array of students’ personal data, which requires protection from unauthorized access.
Other challenges noted include:
- Significant one-time costs for system implementation in the educational process and regular maintenance expenses;
- Dependency on internet connection and other technologies;
- A need for regular updates and keeping track of the high-tech market;
- Limited interaction capability, the machine’s impotence in the realm of interpersonal relationships and the moral-ethical sphere;
- Potential algorithm errors and the risk of bias: Incorrectly entered data may be amplified during processing, resulting in distorted analysis outcomes.
Conclusions
The use of AI technologies can significantly improve the educational process. When implemented correctly, it optimizes time for both educators and students. Of course, it cannot fully replace teachers but becomes a valuable tool for effective and rational learning.
When integrating technology, it is important to consider all the pros and cons, paying attention to the protection of personal data and minimizing any potential risks.
