According to Market Research Future, artificial intelligence in the education market is expected to grow at a CAGR of 42.8% from 2023 to 2030, accounting for $23.82 billion in 2030. Right now, AI-powered services are helping teachers create personalized learning plans and helping students achieve higher grades. EdTech company Squirrel AI Learning (China) co-founder Jolin Liang gives insight into what will be the most notable solutions in this field.
Challenges of Traditional Education
If you have ever used the educational system, you know how complex it is. On the one hand, the number of trained teachers is not enough, and the distribution of educational opportunities is unequally distributed. On the flip side, not everybody learns at the same rate, and this is not considered. Jolene Liang thinks artificial intelligence can remedy these roadblocks.
Personalization
The introduction of AI gives us the chance to actually give a truly personalized learning experience, to meet the needs of each individual student. Typically, teachers teach the whole class at once, and can’t customize the lesson content to target the varied interests and abilities of individual students. Educational progress can be analyzed by AI and it can present personalized learning strategies. More efficient and effective education is the end result. It can also adjust how difficult and fast the explanation is for a given student moving on and suggest relevant learning resources.
For instance, Squirrel AI integrates deep learning technology to produce 1000s of personalized training plans for colleges to ease teacher performance and enhance efficiency. Generative AI can additionally generate new subject questions from the existing assignment banks. The system automatically adjusts the content in the case of a child learning a foreign language and delivers tasks with characters that match the child‘s capabilities. As a result, students’ motivation to learn and engagement increase: tasks don’t seem too difficult anymore or too easy anymore.
Adaptive Learning
Another important direction for artificial intelligence in education is adaptive learning, in which the content and format of lessons adapt in real-time to each child’s learning speed, thereby developing his or her abilities and revealing talents. We can say that AI administers its own free IQ test online, determining how much knowledge each student can comfortably perceive. Such learning not only improves each child’s performance but also allows teachers to better manage the learning process.
Furthermore, adaptive learning overcomes geographical and time constraints via online learning platforms, ensuring that the broadest possible audience has access to high-quality education. Squirrel AI solutions, which use adaptive AI algorithms and large language models, have already reached over 60,000 schools and 24 million students. Following the launch of ChatGPT, they combined their proprietary adaptive AI learning system with the power of large language models (LLMs). On the one hand, it enhanced recommendation algorithms and knowledge tracking. On the other hand, feedback accuracy increased from 78% to 93%.
Today’s AI-powered products can accompany a child throughout their entire educational journey. The AI assistant can explain complex topics in simple terms, allowing students to develop their skills rather than simply memorizing the material. For example, the Squirrel AI system employs game content to keep students interested in learning and to help them develop their thinking skills.
What’s Next?
Of course, personalized learning is not without its challenges. First, extensive data is required for accurate knowledge assessment and quality feedback. Second, teachers must have the technical skills to integrate AI-based tools into the classroom. Of course, AI does not replace the teacher; it simply optimizes work and frees up time for more important tasks. To fully integrate advanced technologies into education, it is required to:
- Invest human and financial resources into research and development;
- Hire subject matter experts;
- Identify educational trends;
- Evaluate the implementation of AI solutions in schools;
- Take into consideration feedback from both teachers and students.
When this occurs, the education industry will undergo dramatic changes:
- Teachers’ roles will be transformed: by eliminating redundant workloads and automating routine processes, they will become more like mentors and partners to students;
- Learning content will change: the introduction of machine learning solutions will allow for the creation of more diverse formats and content, assisting students in better absorbing knowledge and skills;
- New methods of knowledge assessment will emerge. With data analytics, it is easier to track learning progress in real time.
Conclusion
The contours of this future are already visible and will become even more so in the coming years. However, we must exercise caution and consider the implications of each solution ahead of time, keeping privacy and security top of mind.
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