I was stuck in routine administrative tasks when I came across a virtual guide that solved queries around the clock. The moment of realization: I was trapped in a tedious routine loop when I should have been automating complex tasks.
Just like me, many underestimate the potential of AI in the edtech industry, and you know what, we're missing out on a world of opportunities.
AI in edtech tactically uses intelligent systems to help educators save time while making learning impactful for students. You name it
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Automated assessments and progress tracking
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24/7 Chatbot support
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Personalized learning roadmaps
Intelligent tutoring systems are filling the void that conventional education platforms couldn’t. What void am I talking about?
Conventional education platforms rely on human educators who are only available for specific hours, but virtual assistants powered by AI fill the space by around-the-clock availability, along with catering to multiple students at once.
As we begin to discover the wonders of AI in edtech, let's first look at how it’s disrupting the industry norms, followed by some practical use cases to immerse yourself in your next MVP.
The State Of AI Development in Edtech Industries
The AI in edtech markets stands at a projected value of 1.7 billion USD in 2025, and is only expected to grow in the upcoming period, holding USD 26.1 billion in 2034 at a CAGR of 35.8%.
This exponential growth in education technology trends is driven by the following factors:
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The demand for personalized and tailored learning modules
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The rise of data-driven decision making
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Expansion of opportunities in adaptive learning
Now that it’s public knowledge, AI-based systems can fundamentally create new ways of efficient learning by tracking student progress, learning modules, and generating tailored instructional content.
These AI models can take mundane admin activities like student onboarding, prospect outreach, and lecture scheduling to reduce the time spent by educators on negligible tasks.
How Edtech Startups Are Adopting AI to Disrupt The Industry
For edtech startups choosing AI integration is like being on the crest of a wave.
Smart AI features for EdTech startups include:
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All-time personalized learning experience
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Adaptive testing and assessment mechanism
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Analytics for student performance monitoring
Jumping right into app launching might not be the way to go. Scope out your product development strategy into chunks. The most effective means is to include AI in education technology MVP(minimum viable product).
Early-test your AI integrated on the target audience to gather feedback, spot loopholes, and iterate. Any slip can be avoided before launching a full-fledged version of your product.
Here are the top 3 benefits of AI-powered edtech MVPs:
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Accessibility and Scalability
AI-integration in MVP removes language barriers by capitalizing on functionalities like speech recognition and language translation. This means the expansion of your edtech app is not limited to geographical borders.
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Data Security
Edtech platforms administer large sets of student data. This raises questions on data breach and user security. With machine learning in education, you can test your MVP’s viability for network traffic patterns and detect unusual patterns that might be prone to internal threats.
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Improved productivity
Any task that eats up time other than teaching can be automated at an early stage. In-depth analytical tools can instantly track performance to give real-time feedback to help educators adapt with their strategy.
High Impact AI Use Cases For Building EdTech MVP
To better understand how to make the most of AI in your edtech MVP, here are 5 impactful use cases to get inspired and structure your product development strategy.
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Performance Tracker and Planner
Traditional learning platforms often examine students through the same one-size-fits-all approach, in contrast, AI intelligent systems track individual performance on a variety of metrics.
By embracing diversity along with allowing students to track their performance, AI leverages user data and performs in-depth analyses to track the performance and progress of individual students.
This progress and performance tracking benefit learners by giving them an idea about areas where they need to improve.
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Student Onboarder
The student onboarding process is laborious, with the monotonous task cycle of maintaining student data, grading the performance of students, and onboarding new students.
Leading educational institutions are turning to AI to refine the flow of student onboarding and retention.
For example, Bryant University uses Tupper chatbot to handle 50,000+ common questions from new students annually, covering popular topics like class registration, campus building locations, and dining hall hours.
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Conversational AI Educator
The conversational learning market is currently divided into two halves, one led by apps like Duolingo, another led by educational platforms with on-demand tutors.
To expand the chain of conversational education, platforms with natural language processing and deep learning algorithms are here for self-supervised learning.
These systems can recognize human speech, tone of voice, pronunciation, and sentiment and be trained to listen to the students and accurately evaluate if they’re mastering the language and aid them in improving their proficiency.
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Content Generator and Planner
Hand drafting content calendars is past its prime. AI-powered learning tools can scan textbook PDFs to convert them into presentations, quizzes, course summaries, and lecture outlines.
Among other things, edtech AI can create content for multi-language users supporting learners whose command of English slows down their progress.
A practical real-world use case of this is Eduaide.ai that provides 100 resource types to choose from to create high-quality instructional materials. It offers the ability to translate the generated content into more than 15 languages.
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Test Assessment Tool
With the shift to online education platforms, assignment reviews and assessment of standardised tests must be evaluated under the same umbrella. This saves educators from the constant allegations of reevaluation due to human error.
Traditional rule-based assessment evaluators require contextual prompts to function accurately. That's not the case with AI-based evaluators, these can automatically scan the provided topics to generate quality questions while adapting tests to personalized learning objectives.
Conclusion
Whether you are beginning to launch AI-powered learning tools or looking to scale the existing ones, AI can open doors to global opportunities. Players in the edtech industry have plentiful markets to explore.
To leverage artificial intelligence in your edtech-inspired MVP, you need high-end skills and expertise, something that a skilled AI development company like Infutrix is well-equipped to perform.
