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How Much Does It Cost to Develop An E-learning App?

Since the COVID pandemic, the education industry has completely transformed its mode of service. The industry has adopted the power of innovative mobile technologies. The need and demand for online learning applications in the era of COVID to break the infection chain, especially during the 2019 and 2020 years.

The trend of online learning apps has been continuing since the outbreak of coronavirus. An education app for Android or iOS is a digital platform that connects instructors and learners to share and gain knowledge virtually.

The best mobile apps for education sector will help aspirants in many ways as a teacher does in the classroom. The convenience and comfortable experiences in learning concepts or subjects will take digital learning to new heights.

However, as the demand for education apps is increasing at a rapid pace, the Google Play Store and Apple App Stores are flooding with numerous e-learning apps. Of such a massive crowd, a few education apps are developed for learning academics, a few other educational apps are for learning tech courses, and a few mobile learning apps are for preparing for competitive exams.

We have also online learning apps that are engaged in assisting users in learning new languages. Likewise, the app stores have hundreds of online education apps.     

Advantages Of E-learning Apps Development For Businesses 

The benefits of mobile educational apps or online learning platforms are incredible for learners as well as educational academies. Here are a few advantages of educational apps development.

• Eliminate offline learning difficulties and improve services
• Always stay in touch with learners.
• Educational academies can improve student-to-teacher interaction.
• No pandemic can stop you connect with your students or learners.
• Downloading e-learning applications on the smartphone will help your audience grab knowledge 24*7 and use their study hours efficiently.
• Enhance user personalization and improve their skills
• Educational apps development will improve productivity.
• Management can have better control over students’ learning.
• Educational institutes can pay attention to the needs of learners.
• Eliminates paperwork and digitizes maintenance of attendance and progress tracking reports
• Gain profits through implementing app monetization strategies, such as in-app brand advertising, subscriptions, and redirecting to other online services.

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The Demand & Future Of Online Education Apps Development

The demand for online mobile learning apps during the COVID pandemic is high. The education apps for Android and iPhone have played an integral part in the education ecosystem in hard times.

Global education academies and training institutes are all increasingly invested in online educational apps development to survive profitably during the pandemic. They have altered their medium of service deliveries and switched to online.

Google Classroom, Khan Academy, Coursera, Duolingo, Byjus, Udemy, edX, and Photomath are all top 10 educational apps In the USA and other markets. These educational applications for Android and iOS have encouraged learners to grab the knowledge and explore the skills that they desired to learn.

The e-learning industry, with the availability of these kinds of best online learning apps, is ensuring better access to education, improving education applications, and confirming a bright scope for its future.

Statista says that the COVID-19 pandemic is a primary reason for the increasing downloads of mobile learning apps over the past three years. Over 470 million e-learning apps have been downloaded by iPhone users from the Apple app store.

On the other side of the coin, with 466 million downloads recorded, Google Play is stood as the second-largest app store for educational apps.

The below figure depicts the growth of mobile education app downloads between 2017 and 2022.    

The above figure represents the ever-growing demand for online mobile learning apps. Hence, e-learning app development on Android or iOS platforms will ensure the best business outcomes for companies.

Top Educational Apps In The USA

Here is the list of the best e-learning platforms USA.

Google Classroom and Toca Life World, and Duolingo are the first, second, and third-largest e-learning apps in the world. These three mobile education apps together reported 208 million downloads during 2021. Followed by Brainly and Photomatch with 64 million and 46 million app downloads are the next leading online learning platforms worldwide.    

Let’s look at the most popular learning and education apps by category in the world.  

Best Educational Apps For Android & iPhone By Category

• The best online learning apps for preparing the competitive exams: DrMentors Medical PG app, Indigolearn, Unacademy
• Coursera, Simplilearn, and Udemy are top popular education apps for Android and iOS for learning technology-related courses.
• BYJU’s, Brainly, Khan Academy, and Toppr are the most-downloaded educational apps in USA and India for College Board students. These applications assist students in preparing for IIT-JEE, CA, and NEET-like competitive exams.
• Duolingo, Babbel, and MasterClass are the best online learning apps for learning new languages.

USM Business Systems is the best mobile app development company in the USA. We are engaged in the design and development of custom mobile apps on Android and iOS platforms. We have also strong proven experience in creating best-in-class software for web apps that better engage your audience.

Let’s Talk For Google Classroom-like Online Learning App Development!

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If you are looking to develop educational apps, here are the features and functionalities that you must add to your new application. 

Must-Have Features Of An eLearning App

Here are a few features that mobile app developers must consider while creating educational apps.

• East registration and quick login
• User profile management feature
• Social media login facility
• Search and customizable filters for selecting courses or subjects
• In-app video and audio facilities
• Push notifications
• Quick subscription plans
• In-app e-wallet integration
• Secure payment gateways
• In-app chat facility
• Task automation, AI, AR, and VR technology-enabled features to enrich the learning and app experiences.

 

How Much Does It Cost For E-learning or Online Educational App Development? 

The mobile application development cost depends on various factors, including features, functionalities, app requirements, design complexity level, and development platform/operating system. Based on these factors, mobile app development companies USA will estimate the app development price.   

The cost to develop an educational app in 2022 will also depend on the industry experience of native or hybrid mobile app development agencies USA. The expertise of custom Android app development companies and iPhone app development companies that you hire will impact the total cost of education apps.

Likewise, app promotion, maintenance, and support services will also have an impact on the final price of native mobile app development.

USM, the best Custom Mobile App Development Company in the USA, has massive experience in delivering customizable Android, iOS, and web apps. With a proven experience with Byju’s-like the best Indian education app development, we estimate that the cost of an e-learning app will range from $35,000-$65,000.

However, this cost might vary based on your app requirements. For instance, the best online learning app development with an in-app digital chatbot feature and virtual audio or video interaction sessions will go beyond the estimated price.

Hire the best e-learning mobile apps Development Company USA?

 

Conclusion

Since the COVID outbreak, Android and iPhone app stores are overwhelming with the increased number of downloads. According to market researchers, e-learning apps are the third most-downloaded app category in 2019, 2020, and 2021.

Mobile educational app development will provide unbelievable growth opportunities for institutes and training firms. The time has arrived to invest in online learning platforms.

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This blog is a contribution from our customer, Personify Health, the first personalized health platform company. Learn how their team reduces AI model development time by 82% for personalized healthcare.

Personify Health is a global company empowering diverse and unique businesses — and diverse and unique people — to engage more deeply in health at a lower cost. We’ve brought together health plan administration, holistic wellbeing, and comprehensive navigation solutions to create the industry’s first and only personalized health platform.

We’re bridging the gap between the enormous potential of AI and the need for smarter healthcare. Our AI-powered platform helps our 19 million members across 190+ countries to proactively manage their health with highly personalized recommendations and content that spans mental health, nutrition, sleep, movement, exercise guidance, and more.

To achieve personalization at this level and drive efficiency throughout the company, we’re accelerating AI adoption with more than 15 predictive and generative AI projects currently underway. DataRobot has been essential for improving the efficiency and effectiveness of our expert team of data scientists, engineers, and data analysts. 

Why accuracy and governance are essential for AI in healthcare

Personify Health has the best and brightest data scientists, engineers, and analysts on our team. But in order for them to do their best work, they needed a toolset that would reduce daily headaches like tool overload, clunky workflows, and duplicative work. As CTO, I want my people focused on delivering results, not managing bad processes.

I’m a strong believer in eliminating silos across the organization. Our engineers, data scientists, and analysts must come together on one platform to scale our development cycles and productivity gains. But we must be thoughtful with each decision, particularly as healthcare is a highly regulated field with numerous ethical concerns.  

We need to blend AI with human expertise for a close personal touch along the entire customer journey. Our members trust us to guide their health and wellbeing through recommendations provided by advanced predictive analytics, while our health coaches rely on generative AI co-pilots to make them more effective partners to our community members. 

Internally, we also use generative AI to drive productivity with helper bots for different business functions. Trust in each of these AI applications is absolutely essential for us to do our jobs and support our member community in continuing to improve their health.

Predictive models are critical to the personalized experience we provide on our platform. To inform Personify’s predictions, we consider a dataset that encompasses approximately 275 million people with 700 features. We need to train models on constantly changing data — at scale — across hundreds of models multiplied by millions of members.

DataRobot allows our team to train multiple models simultaneously and compare outputs for the greatest possible accuracy. Their end-to-end platform means we have the tools to quickly deliver results our customers can trust. 

Supporting Personify’s model responsibility standards

Centralized tooling further supports our commitment to social and model responsibility with the right infusion of ethics, privacy, and governance. At Personify, here’s how we’re taking a thoughtful approach to AI adoption and use across the company:

A steering board

An AI executive steering board oversees all projects to help guide our decisions at the leadership level.

Research and development

An R&D team researches and builds the foundation for our generative AI-based frameworks for use cases in operations, commercial marketing, and content generation.

Governance team 

AI policy governance is critical in how we work with data. Our AI policies propagate to our 70+ sponsors on the platform so everyone understands how we protect data. Our governance team guides AI policies with input from our legal counsel. 

Privacy and bias mitigation

We work with anonymized data sets, which keep member data private. At the same time, it eliminates the possibility of bias in our models. 

A unifying platform

To reduce silos and accelerate model time, we chose DataRobot to bring all our teams and predictive models in one place. We’ve been able to rip apart those silos across the organization, which is fundamental to our success.

The platform unifies our AI analytics across teams, technologies, and data sources, and speeds our time to production. Instead of taking three weeks to get an acceptable model, we can do it in 21 hours and create multiple models in parallel.

DataRobot also supports our governance framework with essential explainability. Having visibility behind models helps us quickly understand, choose, and gain acceptance of the right models. 

Building momentum for generative AI in personalized healthcare

Looking ahead, generative AI will become a greater part of how we enable our organization. With the foundation we’ve already built in DataRobot across predictive AI and generative AI models, I’m excited for Personify Health’s future. 

We’re already unifying all of our generative and predictive AI models within DataRobot to further improve how we manage and monitor them to drive meaningful results for the business and our members. This platform is core to many of our objectives as we continue to lead the future of AI in healthcare.

For example, we foresee having our own AI conversational hub on the backend that plugs into all our products to answer questions for even greater responsiveness.

We’ve also been experimenting with DataRobot Application Templates, which will give us repeatable use-case logic that the team can adapt for specific business problems. This solves a significant headache for our team and will let us move at an even faster pace.

Together, Personify Health is empowering consumers with smarter recommendations that are held to the highest ethical and legal standards. DataRobot makes it so much easier to build and manage AI models, which means my team can focus on delivering better health and wellbeing recommendations to our customers. 

Check out Personify Health’s customer spotlight to learn more about how they reduced AI model development time by 82%.

The post Customer spotlight: Personify Health’s thoughtful approach to AI adoption appeared first on DataRobot.

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