According to the latest data , the market for generative AI solutions is expected to reach $207 billion by 2030. In 2020, this figure was only $5.67 billion and $23.17 billion in 2022. One of the driving forces of this progress has been attributed to educational services . Currently, they have some of the highest adoption rates among all organizations.
Institutions worldwide recognize the impact of generative AI technology on the learning process. In the past few years, it transformed how educators tailor programs and how collegegoers approach their assignments. The latest statistics show that 58% of all university instructors use generative AI in their daily practice.
This surge in use cases goes beyond using ChatGPT to make individual tests and quizzes. This technology can make learning more inclusive and engaging for all parties. Several AI technology trends in education will dictate how this field will develop in 2024.
Generative AI is poised to revolutionize education by creating intelligent, adaptive learning companions that enhance the student experience. The AI Teacher offers a personalized learning path, adjusting to each student’s pace while delivering tailored lessons and instant feedback to foster better understanding. Complementing this is the AI Study Buddy, an interactive partner that helps students review material, practice exercises, and receive answers to questions, reinforcing knowledge through real-time, personalized support. Additionally, AI Coaches and Mentors play a crucial role in guiding students by setting goals, offering data-driven insights, and providing continuous learning assistance.
EdTech AI agents act as invaluable assistants, streamlining administrative and classroom management tasks. The AI Teaching Assistant helps teachers automate tasks like scheduling and attendance, significantly reducing their workload. Moreover, the AI Grader allows teachers to automate grading, offering consistent, swift feedback while freeing up time for more personalized student interaction. To further boost engagement, AI Gamification introduces game-driven learning experiences with varying complexity levels, relevant challenges, and reward systems that motivate students to reach their potential.
Together, these AI tools are transforming both the student and teacher experience in education.
Trend #1. Using Generative AI to Make Educational Content Generative AI is about saving time and producing quality content on a budget. Educational institutions will continue using tools like Bard and DALL-E2 to make slick and exciting materials for their students at no expense and effort.
More advanced solutions allow them to provide vibrant slides or create course and topic glossaries. This approach will make lectures and video lessons more exciting and make it easier for students to refresh their memory about specific terms and notions. Here’s why content will remain one of the biggest education trends in 2024 and beyond:
Time saving . AI tools produce readily available content in a matter of minutes. This leaves teachers and professors more time to polish materials without spending hours researching and compiling them. Reduced costs . All types of learning institutions benefit from generative AI and provide a decent education even in the farthest parts of the world.Consistency . The use of these platforms allows organizations to maintain the same level of quality across various subjects and topics.Trend #2. Teaching With Virtual Avatars Artificial intelligence will provide all colleges with an easy and affordable way to make video lessons. Instead of paying actors or having the faculty record them, the implementation of AI in education will allow making them with virtual avatars. All that is required is to upload a photo of a real person or use one of the existing profiles.
These avatars speak in multiple languages and offer personal education for students worldwide. Platforms like Elai.io , Synthesia, and Heygen provide these services to higher-learning organizations and everybody interested in them. Using these tools opens several opportunities:
Teacher avatars . For example, Harvard will use this technology to have Professor Steven Pinker teach courses on psychology in Chinese or Arabic.More flexible and scalable learning process . College education will become more accessible for students with different learning styles.Better adaptability for international college attendants . Students from Brazil or Argentina can sign up for online courses and attend even if they speak little English.Trend #3. New Opportunities For Arts Students In the coming year, generative AI in education will enhance the arts departments. Tools like Runway and Midjourney allow students to experiment with different painting styles and methods. More advanced solutions show them video tutorials on how to achieve mastery of these techniques.
It’s also possible for collegegoers to use generative AI as inspiration and a source of new ideas. In addition to art styles, they can experiment with literary tools and architectural design elements and find new combinations. Several aspects of this technology make it a powerful tool for art students:
Quick and free access . AI tools let education pursuers experiment with different themes and styles. Seamless collaboration . These platforms help students work on joint projects and seamlessly merge art techniques.Design assistance . AI tools help individuals by suggesting compositions, layouts, and color palettes for their works.Trend #4. Personalized Learning Experience The latest technology trends in education are all about the effective use of data. Gen AI products gather information on academic performance, learning styles, and students’ strong and weak sides. This helps develop teaching strategies that adapt to the personal needs of all students. Research by Knewton shows that AI content improved the test results for 62% of respondents.
Some have a better time learning by learning, while others prefer video or audio formats. With these products, it will be easy to provide high-quality and affordable study content. Generative AI tools will play a big role in the future of education due to several factors:
High customizability . Educators can instantly make learning content for different categories of students that is tailored to their backgrounds and academic levels.Improving problem areas . Generative AI tools don’t just let people focus on their strong academic sides. With the right approach, they help students address their gaps in knowledge.Better progress tracking . These solutions are often integrated into existing progress-tracking software to provide a comprehensive picture of individual achievements and performance.Trend #5. Inclusive Education In addition to high adaptability to different learning practices, generative AI helps people with physical and learning disabilities achieve better results. Speech-to-text and text-to-speech platforms are some of the leading education trends 2024 will introduce.
They make it possible to adapt study materials for people with auditory and visual impairments. Educational institutions will continue to use generative AI as an affordable way of making audio materials, visual aids, and subtitles to existing course materials. In 2024, the technology will help transform the educational field in several areas.
Emotion recognition . Generative AI solutions assess the sentiments of students and support them or adapt content based on emotional cues. Additional inclusivity . These tools allow educational institutions to provide materials for all types of learners without spending too much time on making them. Trend #6. Student Support The use of generative AI in education isn’t confined to producing educational materials. Many institutions use them to help students better adapt to their academic life. These tools serve as intelligent chatbots that provide information about the different aspects of the study process.
The widespread implementation of AI in education will provide support whenever students need it. Modern solutions can help them with course registration, payment processing, extracurricular activities, and selecting courses. These tools are always there to give them detailed and accurate answers. They offer great help thanks to these characteristics:
The ability to work with vast datasets . Educational organizations can teach generative AI products to provide information about all kinds of facts about the faculty, the curriculum, and the learning process organization.Fast response times . Artificial intelligence apps provide fast answers to any questions people might have in the blink of an eye.24/7 availability . Chatbots and virtual helpers equipped with generative AI tech are accessible even when none of the faculty members are there to talk to.Trend #7. Intelligent Tutoring In 2024, generative AI in the education sector will continue to impact it by offering affordable tutoring assistance. Students turn to Bard and ChatGPT to ask for clarification on various topics, notions, and phenomena. These are a great alternative to reading through textbooks or conducting web research.
Modern solutions will also allow students to break down complex topics into simpler components and let them find connections between them. For example, it’s possible to ask a generative AI tool to explain the human respiratory system and how each part plays a role. AI-based tutors will play a crucial role in the future of education as they are:
Provide interactive learning content . Generative AI applications create engaging learning content like videos, quizzes , and simulations to explain new and old information better.Give instant feedback . With these tools, students get instant assessments of their work on projects and quizzes, providing information on areas that need improvement.Recommend study plan adjustments . Modern generative tools and platforms adjust individual learning programs based on a person’s goals, knowledge, and learning preferences, emphasizing skills that require the most attention.Trend #8. AI Agents Integration In 2024, AI agents for education and training are set to become a huge trend in EdTech, transforming how educational businesses approach personalized learning. The integration of AI agents into LMS platforms allows for significant personalization, where students receive tailored content and support based on their performance. LMSs powered by AI will enable educators to provide individualized learning paths for students, creating more effective and efficient education. These AI agents can assess student progress, offer instant feedback, and guide learners through complex subjects, ensuring a higher level of understanding and retention.
Beyond enhancing student experiences, custom AI agents will boost administrative tasks for educators and institutions in 2024. By automating routine functions like grading, scheduling, and attendance, teachers can focus more on teaching and mentorship, while institutions benefit from data-driven insights into student performance. This trend aligns with the growing demand for efficiency and scalability in education, particularly in hybrid and online learning environments. AI agents, with their ability to deliver 24/7 support, foster collaborative learning, and provide interactive simulations, will play a crucial role in making education more accessible, personalized, and engaging in the digital age.
Springs’ Expert Opinion Springs team goes on the edge of technologies and AI trends in education, so we would be happy to share some of our personal experiences and insights.
Serhii Uspenskyi, CEO at Springs:
Generative AI in education sector plays a crucial role today. Five years ago everyone talked about eLearning as a trend, today we talk about AI in education trends from day to day. With the release of ChatGPT Edu , businesses, schools, and universities can enjoy multiple benefits in the educational sector:
ChatGPT4o Integration Advanced Analytics and Reporting Customization according to the business needs Bigger and better capabilities Overall, we consider the release of such LLMs as Gemini, LLaMa 3, and GPT-4 Omni to become one of the newest trends in terms of this duo: Generative AI and Education. Just imagine, how the educational and eLearning software can be changed within the next years with the power of LLMs and professional fine-tuning of them.
For instance, here at Springs we had already implemented GPT-4o into one of the Video eLearning products we have been working on, and the quality of results given by the model was really impressive. The modern algorithms created by such giants as OpenAI, Google, or Meta are worth to be valued. So, all we need is just to provide professional AI/ML development services and use the whole power of Generative AI in education sector.
Don’t hesitate to contact our team if you need any help with your idea or project. We are here to help.
Challenges Associated With Using AI In Education Although generative technology trends in education will play a big role in 2024 and beyond, educators still face several issues associated with using these products. The most pressing of these challenges are:
Deep Fakes . Modern AI products produce life-like videos of pretty much anyone in the world. This puts collegegoers at risk of coming across generated content that looks legitimate on the surface. Other web users can utilize these tools to spread misinformation, hate speech, and wild conspiracy theories.Fraud . Educators will have to learn how to determine if the content was made by an AI or by the student. Of course, many platforms detect AI-made writing, but the proficiency of generative tools grows by the day. This development will make it harder to recognize if the content is original or AI-based.Hallucinations . This issue lies with the nature of AI products. Sometimes, they malfunction, resulting in inaccurate, unrelated, or nonsensical information. Everybody involved in education should be aware of this and fact-check everything provided by these solutions.Privacy Issues . Modern AI tools gather large amounts of sensitive data, which includes student and organization information. Educational institutions must have detailed policies about data security, storage, and sharing to avoid leaks or unauthorized access.The Future of Generative AI and Education What AI trends in education we will see in the next couple of years? What to expect in terms of the rise or fall of AI in education trends? Let’s try to find out.
AI-Controlled Smart Classrooms With the rise of virtual elearning , ensuring academic integrity during examinations has become crucial. AI-proctoring systems can control test-takers' behavior, environments, and movements. These systems use computer vision , facial detection, and audio evaluation to identify suspicious behavior, detect plagiarism, and maintain the reliability of online exams. It is with saying that such AI systems can fully restore trust in the examination process and ensure academic honesty.
Human-Like AI Teachers The development of human-like AI teachers will revolutionize the educational landscape within the next years. Such avatars are already capable of answering students' questions, providing explanations, and offering guidance 24/7 and all these capabilities will be growing. They use NLP and machine learning to understand and respond to students in a human-like manner, providing support that is both accessible and scalable. So, we are pretty sure that this will be a fast-growing part of generative AI in education sector.
eLearning AI Gamification Finally, AI can enhance the gamification of educational content by personalizing experiences to increase the engagement and motivation of all students. By the usage of predictive analysis , AI algorithms enable gamification designers to create UX and UI that align with each learner's preferences. One of the biggest advantages of AI in gamification is its ability to adapt based on user behavior and preferences, offering customized challenges, rewards, suggested activities, and advanced analytics to predict and meet learners' future needs.
So, we consider these points would lead to the future of AI in education trends and make the learning process more smooth for both students and teachers.
Conclusion The learning landscape is quickly changing before our eyes, thanks to the possibilities brought by AI technology. To ensure that education trends in 2024 will benefit students and educators, institutions must teach both parties how to use artificial intelligence properly. Only this way will it be able to become a great study and educational aid while keeping the spirit of learning alive.
Incorporating generative AI into education through AI teachers, study companions, and assistants for both students and educators represents a transformative shift in how learning and teaching are approached. These AI-driven apps not only personalize and enhance the student learning experience but also alleviate the workload on educators by automating tasks like grading and classroom management. With the integration of interactive and engaging elements like gamification, generative AI creates a more dynamic, tailored, and efficient educational environment, empowering both learners and teachers to reach their full potential.
FAQ How AI agent can be integrated into education business or institution? AI agents can be integrated into education businesses or institutions through APIs or AI-powered platforms that connect with existing Learning Management Systems (LMS), enabling real-time data exchange for personalized learning and automated administrative tasks. These agents can also be embedded into digital learning tools via machine learning models and natural language processing (NLP) algorithms, allowing for adaptive content delivery, chatbot-based support, and real-time analytics integration.
How do you use Generative AI in the education sector? At Springs we use Generative AI in education for personalized tutoring, creating tailored educational content, facilitating language translation, enabling virtual labs and simulations, and developing adaptive learning platforms. These applications enhance student engagement and learning outcomes.
What’s the cost of software development using Generative AI in education? The cost of developing software with Generative AI for education varies depending on factors such as the complexity of the AI model, customization requirements, data needs for training, deployment considerations, and ongoing maintenance. Costs are typically tailored to the specific project's goals and technical requirements.