Do you want to develop an education App?
AI has brought a revolution even in education apps.
You can observe the impact of AI from healthcare and finance to transportation and retail. AI can also enhance efficiency, reduce costs, and provide personalized experiences to customers.
If you are thinking of developing education apps then you should know the current role of artificial intelligence in influencing such apps.
Hence, here you will get a finite solution by studying market stats, types of AI, benefits of using AI, and a lot more. Shall we proceed?
Current Market Stats About Educational Apps
To understand the in-depth analysis of the use of AI in education, it is essential to know the current background of AI that acts as an important tool in the current era.
The given section will provide you with details and some basic stats that will help you rethink investing in AI for your education app. Let’s learn the current stats that we have provided you after market research.
- The estimated revenue within the online learning platforms market is projected to reach US$3.26 billion in the year 2024.
- Based on the report by Allied Market Research, the e-learning market can gain $840.11 billion by the year 2030 at a CAGR of 17.5%.
- As per Global Market Insights, the market size of the e-learning platforms was valued at US$399.3 billion in the year 2022 and is expected to grow at 14% CAGR between 2023 and 2032.
Based on the above data, Chegg brought almost $766 million in revenue in the year 2022, while downloads dropped from Duolingo in the same year.
- North America was the top region for spending within educational apps with 44% followed by Europe, Asia, and Latin America.
- Education apps saw a boost during the pandemic, where the number of app users increased from 185 million in the year 2019 to 270 million in the year 2020.
The artificial intelligence market in the education sector is to grow by USD 1100.07 million from 2022 to 2027.
Types of AI Used in Education Apps
What have you analyzed with the data and stats?
You must have analyzed the revenue growth, growing users of eLearning apps, and the use of AI in the coming years. Right?
Now, you are well aware of the future growth of artificial intelligence in education in the future. It’s time to know the types of AI and the ways it is reshaping educational apps. You will get an idea about the functions of AI in educational apps after considering the AI types in apps. Check out the list below to find out more.
Type 1: Machine Learning
Machine Learning algorithms assist educational apps in analyzing a large amount of data and patterns. It is used for adaptive learning, where machine intelligence EdTech adjusts content and difficulty levels relying on the student’s performance.
Type 2: Natural Language Processing
This type of AI enables educational apps to understand as well as interpret human language. This kind of technology is also utilized in chatbots, language learning, and virtual assistants. This facilitates communication between the app and the user.
Type 3: Virtual Reality (VR) and Augmented Reality (AR)
AR and VR trends in technology are creating immersive user experiences by improving the functionality of educational apps. This technology is used for interactive simulations, virtual field trips, and hands-on learning activities to engage students.
Type 4: Predictive Analysis
Such kind of algorithms are developed to evaluate the student’s data for forecasting their future performance. Predictive analysis is helpful to the students to identify the risk behind failure and provide recommendations based on current evaluations to mitigate risk.
Type 5: Gamification
Gamification techniques are used to make the content interesting which is useful to increase engagement of students within the study. It also incorporates the game elements including points, badges, and leaderboards, making education more enjoyable.
Type 6: Deep Learning
Deep Learning is a subset of educational apps utilized to understand and interpret human language. This current technology is used within chatbots and language learning apps to minimize the gap between the app and the user.
Also Read: Types of Educational Apps
Benefits of Using AI in Education Apps
Do you know if AI can help with intelligent tutoring systems?
Yes, other than this, AI has multiple usage benefits of educational apps. You can learn more about this in the current section. The impact of AI in education apps can be identified through studying its advantages.
Here is the list below of the benefits of AI in educational apps.
A. Increased Student Engagement
AI used in educational apps affects the learning experience of the students in many ways. It is improving the connection between students and their coursework that fulfills the purpose of educational software. The usage of AI promotes active participation and interaction in the classroom.
With the help of personalized learning, AI algorithms analyze user data to avail learning for students based on their customized needs, preferences, and learning styles.
B. Fill Gaps Between Teachers and AI
Artificial Intelligence has made its mark within education through the development of tools. This tool is useful in assisting the skills development and testing systems. This tool is effective in filling the gap between learning and teachers.
After leveraging the strengths of both machines and teachers, the use of AI in education is a collaborative one. AI allows teachers to connect with students more interactively.
C. Lifelong Learning and Professional Development
The use of AI has enhanced lifelong learning by facilitating the continuous growth of individuals. AI provides customized plans to the students that help them to learn and gain education anywhere and anytime.
By tracking progress, AI ensures relevant and timely suggestions optimizing its professional development journey. This personalized approach improves the educators’ ability to adapt to the changing educational landscapes.
D. Adaptive Learning Paths
Adaptive learning paths help to dynamically adjust the learning paths as well as content based on the student’s progress. It prevents stressful situations by offering tailored speed and space. This path is developed to assess the student’s progress by boosting their motivation.
It is the adaptable rhythm, where learners can successfully monitor the skill enhancement programs along with their demands in the current era. This tool is useful for providing schedules and plans for students who struggle to find time for studies.
E. Universal Access for All Students
Another exciting aspect of advantages of AI in EdTech apps is that it contains the potential to provide a global classroom to all students regardless of language barriers and disabilities. It opens possibilities for students who are unable to attend school due to illness.
It has enhanced educational materials for students with disabilities or special needs. With the help of AI, students with visual impairment and dyslexia can learn and listen to their respective courses.
F. Meaningful and Immediate Feedback to the Students
The use of AI has helped in addressing student queries on time. Some students feel too shy to take risks or to receive critical feedback in the classroom. Therefore AI has assisted these students as it makes them comfortable to ask questions and to make mistakes in learning.
With the help of AI, students can also get useful feedback that keeps them engaged. The use of AI tools in educational apps helps to automate administrative tasks.
G. Provides Data-Driven Insights
AI is useful to provide analysis of extensive student data that offers valuable insights into individual learning patterns and areas for improvement. It also helps educators to comprehensively view each student’s academic journey by evaluating the examination scores.
This data-driven approach helps instructors tailor their teaching methods and adapt curriculum materials that provide targeted support. It also results in enhancing the student’s learning experience.
Popular Apps Using AI in Education
After analyzing the types and benefits of eLearning AI. You might be thinking about how you can implement AI features in your education app.
Well, you can learn it by observing the way the best educational apps use AI to engage students. Let’s dive into the use of AI with popular apps.
Google Classroom is a wide platform that allows the usage of AI to streamline the grading process for teachers. AI-powered algorithms help teachers to simplify the course material and make it available to students. Google Translate and Google Scholar are powerful tools that improve student experience and enrich students with simplified research experience.
► Udemy
Udemy used AI assistant as a tool assisting their learners to identify the right content for them among the thousands of courses on the platform before they get started. This platform aims to surface the most learning content relying on learner search terms. It is specialized in offering personalized feedback through intelligent chat-based assistants to speed up learning.
► Coursera
In Coursera, the course coach feature is powered by AI that has access to a virtual coach that can answer questions and share personalized feedback in real time. The rapid adoption of AI develops an urgent need for organizational agility among companies using it to retool systems and processes to enhance their customer offering and increase productivity to stay competitive.
► Duolingo
Duolingo uses AI to generate voices in the app and has introduced a premium tier. By developing AI prompts, the tool acts as an important medium that can bring in-house teachers convenience, speed, and productivity. Duolingo enhances the learning experience of their students with this tool.
► Brainly
Brainly launched two additional AI-enabled features. Here, AI-powered answers are provided to students when they can’t find an answer in Brainly’s community-driven knowledge base. The platform has helped students to boost their understanding of school subjects which helps them to achieve higher grades.
► Quizlet
Quizlet has become one of the famous apps that helps their students to learn subjects easily. AI-powered study tools including magic notes, a quick summary, and brain beats provide personalized AI tutors. AI in educational apps has helped Quizlet in improving the learning coursework.
What are the Top Challenges of Using AI in Education Apps?
Learning about the popular Apps using AI in eLearning and its benefits are not the only important perspectives that you should consider while implementing artificial intelligence in education.
If you know the risks and problems that may arise in increasing AI usage in edtech, then you can successfully enhance your educational app business model.
Why learn challenges: This will help you identify the risks involved when proceeding towards the use of AI in eLearning apps. Let’s head towards the issues faced while implementing AI within educational apps.
1. Lack of Data
Lack of quality data is one of the measured issues faced while implementing AI in Edtech. The AI algorithms are developed based on quality data for training and to make accurate predictions. The absence of data may result in creating difficulty within the AI model. Curating and acquiring large datasets to represent diverse student populations can be an important challenge.
2. Security Concerns from Cyberattacks
The use of AI in eLearning can be a challenge to secure data from cyberattacks. Hackers are continuously finding new ways to attack software using AI as it contains so much data. The exposure of the personal information about cyberattack victims can result in a breach of privacy policy.
3. Ethical Consideration
The algorithms of AI may unintentionally reinforce biases that are present within the data used for training purposes. Artificial Intelligence in education can create biases from the existing data. However, biases in the data present discriminatory outcomes that promote existing inequalities within education.
4. Cost of Implementation
Implementation of AI can result in higher costs to build an educational app. It can be much more expensive, which also limits access to advanced technologies for schools with limited resources. AI is the current technology and its implementation while developing an educational app can increase your budget limit. Thus, you should invest in it wisely.
5. User Acceptence and Resistence
AI and education can exhibit resistance to AI-powered educational apps. Concerns about job displacement and loss of human interaction over-reliance on technology may impact the adoption and acceptance of such tools. Resistance or discomfort with technology among teachers and students can impact the implementation of AI in educational settings.
6. Measure the Effectiveness and Impact of AI
Identifying the impact of AI-powered educational apps can be much more challenging. There are no metrics that can measure the effectiveness on how to use AI in education apps. AI often creates facts that are completely false. Thus, it can be stated that AI-generated content can be unreliable which also results in un-authentic measurement of AI within educational apps.
What are the Future Trends and Opportunities for Using AI in Education?
Top trends in educational technology are essential to enhance AI use in edtech apps. These trends can act as a unique feature to help you in creating your next educational app.
Here’s a list of some future opportunities and trends useful for implementing AI in educational apps.
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Promotes Personalized Learning
The implementation of AI within future trends and opportunities can enhance the learning of an individual by assisting them to find content and courses that they are unable to access in a classroom. AI solutions for edtech can assist students in asking questions that they hesitate to ask in class.
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Data-Driven Decisions
The future scope of AI is accessing the performance of students within a minute. It doesn’t take time to identify the overall student’s learnings and to make results based on the same. AI tools for education apps can improve the functionality of apps to identify patterns, insights, and trends that result in instructional and policy designs.
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Social and Emotional Learning (SEL)
AI-powered chatbots, emotion regulation systems, and virtual mentors can provide emotional support and feedback along with interventions to promote SEL competencies including resilience, empathy, and self-regulation. By personalizing your experience with chatbots and adaptive learning platforms, AI offers tailored feedback and guidance.
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AI Literacy Goals
AI is becoming more useful within different sectors including education. Hence, there is a growing need to integrate AI literacy goals along with specific learning outcomes for school curricula. This comprises of teaching the students how AI is used in eLearning apps and to understand the basics of AI technology and its applications.
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Virtual Labs and Simulations
The implementation of AI powered language learning, which is powered by AR and VR technologies can make immersive learning experiences. Educational apps can also offer virtual apps and interactive scenarios that permit students to explore complex concepts to conduct experiments and develop practical skills in a safe environment.
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Intelligence Tutoring System
AI can be helpful in personalizing learning experiences and adapting to individual student needs as well as learning styles. Such apps can incorporate personalized tutors and chatbots that use natural language processing along with machine learning techniques to help students guide in questions, problem-solving strategies, and explanations.
How Can Nimble AppGenie Help You in Creating Education Apps?
Deciding to implement AI within the development of educational apps can be a challenge for you. However, you should explore the facts of implementing AI in such apps that can help you to make a decision.
Well, Nimble AppGenie, the best Educational App Development Company that can help you with this process. You can get a permanent solution for deciding whether to implement AI or not. Along with this, we have expertise in app development and you can contact us for this purpose based on our expertise.
We have already developed an educational app such as GLU. You can check and let us know your requirements.
Conclusion
AI-based learning has become the latest trend. Thus, deciding to develop an educational app that contains AI can be a tough decision. The provided sections in the blog include marketing, types of educational apps, and benefits of AI in educational apps can help you identify the use of AI in education.
After studying the usage of AI by popular apps you can evaluate the features and advantages that these apps have over other educational apps after the implementation of AI. Issues with AI apps for education can help you identify risks for developing an app with AI. Future trends can aid in providing a well-detailed guide on how AI in edtech can create future opportunities for you.
FAQs
AI in education apps enhances efficiency, reduces costs, and provides personalized experiences to users. It optimizes learning outcomes through personalized learning paths, adaptive assessments, and intelligent tutoring systems.
The estimated revenue in the online learning market is projected to reach US$3.26 billion by 2024. The e-learning market is expected to grow to $840.11 billion by 2030 at a CAGR of 17.5%. North America leads in educational app spending, and the number of app users surged during the pandemic.
AI types in education apps include machine learning, natural language processing, virtual reality, predictive analysis, gamification, and deep learning. These AI technologies facilitate adaptive learning, language understanding, immersive experiences, and personalized feedback.
AI increases student engagement, bridges gaps between teachers and AI, promotes lifelong learning, offers adaptive learning paths, ensures universal access, provides immediate feedback, and offers data-driven insights for personalized instruction.
Google Classroom streamlines grading, Udemy offers personalized course recommendations, Coursera provides real-time feedback, Duolingo generates voices with AI, Brainly offers AI-powered answers, Quizlet uses AI study tools, and Edmodo personalizes student experiences.
Challenges include lack of quality data, security concerns from cyberattacks, ethical considerations regarding bias, high implementation costs, user acceptance and resistance, difficulty in measuring effectiveness, and risks of AI-generated content.
Future trends include personalized learning, data-driven decisions, social and emotional learning support, AI literacy goals, virtual labs and simulations, and intelligent tutoring systems. These trends offer opportunities for enhancing learning experiences and outcomes through AI technology.
Niketan Sharma is the CTO of Nimble AppGenie, a prominent website and mobile app development company in the USA that is delivering excellence with a commitment to boosting business growth & maximizing customer satisfaction. He is a highly motivated individual who helps SMEs and startups grow in this dynamic market with the latest technology and innovation.
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